Skip to main content
Glama
ctliz

codex-intercom-mcp

by ctliz

Codex Intercom

Agent Intercom is a cross-harness, same-machine messaging system for coding agents. Its Pi, Codex, Claude Code, OpenCode, Grok Build, and AGY adapters share one local broker and protocol, so sessions can discover and message each other regardless of which harness they run in.

Grok Build and AGY support

Grok Build and AGY are supported as first-class protocol peers through two dedicated npm packages:

Host

npm package

Installed MCP launcher

Grok Build

@ctliz/agent-intercom-grok

agent-intercom-grok-mcp

AGY

@ctliz/agent-intercom-agy

agent-intercom-agy-mcp

The host packages depend on @ctliz/agent-intercom-claude and load its MCP runtime internally. Users do not need to install or place claude-intercom-mcp on PATH separately. Once connected, Grok and AGY sessions share the same local broker and protocol as Pi, Codex, Claude Code, and OpenCode, and expose all nine MCP operations: intercom_whoami, intercom_list, intercom_send, intercom_ask, intercom_reply, intercom_pending, intercom_status, intercom_team, and intercom_set_summary.

Install the host adapter before installing its plugin:

npm install -g @ctliz/agent-intercom-grok
npm install -g @ctliz/agent-intercom-agy

For multi-pane or Auto-Team-style use, the supervisor must give every MCP child a unique literal identity and the same scope as its intended peers:

AGENT_INTERCOM_SESSION_ID=<unique-pane-or-worker-id>
AGENT_INTERCOM_SESSION_NAME=<human-readable-name>
AGENT_INTERCOM_SCOPE_ID=<shared-team-or-workspace-scope>

The plugin manifests intentionally do not contain static session IDs, because sharing one ID across concurrent panes would create identity collisions. CLAUDE_INTERCOM_SESSION_ID and CLAUDE_INTERCOM_NAME remain higher-priority compatibility aliases.

Grok Build and AGY currently provide polling-only MCP integrations. Messages are durably retained, but there is no host-specific wake bridge to inject a new turn. Each active agent should call intercom_pending at startup and at natural work boundaries. They can join an existing team and exchange messages with every other adapter, but Agent Intercom Orchestrator does not currently spawn or lifecycle-manage Grok or AGY workers.

Related MCP server: swarm-mcp

Maintenance & Upstream Provenance

  • Maintained by ctliz: This distribution is maintained independently by ctliz.

  • Upstream Heritage: Agent Intercom grew from Nico Bailon's original pi-intercom and the upstream dataforxyz/agent-intercom-* repositories. This project is not officially endorsed by or affiliated with upstream organizations.

  • Package Namespace: The canonical npm namespace is @ctliz/*. The historical @dataforxyz/* namespace was used up to and including connect.1 and is retained only as provenance and as a migration-detection input; it is never treated as a current or healthy installation. The Agent Intercom branding and the intercom_* API surface are unchanged.

Protocol v4 & Broker-Enforced Scope

Agent Intercom protocol v4 introduces broker-enforced scope routing via AGENT_INTERCOM_SCOPE_ID:

  • Registration: The client submits its scopeId once in the top-level registration payload.

  • Broker Enforcement: The shared local broker stores the scope in its private ConnectedSession record and enforces same-scope discovery (intercom_list), naming, and prefix matching.

  • Cross-Scope Routing: Cross-scope messaging is fail-closed; communication across different scopes is permitted only when addressing an explicit full session ID.

  • UX Routing Isolation: Scope is designed for same-OS-user workflow isolation (e.g. per-project or per-workspace agent teams), not as a cryptographic security principal, tenant boundary, or authentication credential.

  • Leak-Free: The raw scopeId value never enters SessionInfo, list payloads, lifecycle events, frontend displays, or execution logs.

  • Standalone First: AGENT_INTERCOM_SCOPE_ID is a general shell/IDE/service launcher contract. Agent Intercom works completely standalone in any terminal, tmux window, or script; TmuxDeck is optional visual tooling.

Origin and thanks

Agent Intercom grew from Nico Bailon's original pi-intercom. A sincere thank you to Nico and the original contributors for creating the Pi extension and the foundation this cross-harness family builds on.

This repository contains the Codex adapter. It gives Codex sessions native intercom tools and wakeable workers while remaining fully interoperable with the other Agent Intercom harnesses.

The bundled client and broker use strict intercom protocol v4. A send is only reported as delivered after the receiving adapter acknowledges it. Unfinished outbound sends are persisted under the shared intercom runtime directory and replayed with their original IDs after reconnect, making retries safe with receiver deduplication. Incompatible older local brokers fail closed without killing, downgrading, or creating second islands.

The project has two related pieces:

  • codex-intercom-mcp: an MCP server that exposes intercom tools inside a normal Codex session.

  • coi: a wakeable Codex sidecar launcher. It starts a Codex app-server, registers an intercom identity, and starts Codex turns when another session sends it work.

Use plain MCP when you only need tools inside an already-active Codex turn. Use coi when you want another session to wake the worker automatically or when you want the host-level Alt+I and Alt+M shortcuts. Codex's MCP interface can provide intercom tools, but it cannot add custom keybindings to the Codex TUI.

Status

Preview. This is the Codex adapter in the cross-harness Agent Intercom family.

Plain Codex MCP sessions do not receive Pi-style unsolicited visible turns. Incoming messages are queued while the MCP server is running; call intercom_pending to read them. Wake-on-message workflows require coi or the app-server bridge.

When an external intercom turn completes, coi refreshes the attached remote TUI by resuming the same thread. The inbound message and final response then appear in the already-open terminal instead of existing only in the saved transcript. This refresh happens after the turn is idle so Codex does not reopen in a phantom Working state. Retryable app-server stream errors are reported as reconnecting without terminating the sidecar, allowing Codex's own retry to complete. Orchestrated fresh: true launches remove the saved coi thread state before registration.

The additive Stage-B boss-run-v1 adapter contracts are present but dormant. Ordinary local and remote-access communication continues to use the existing protocol-v4 behavior when Boss metadata is omitted. The legacy broker does not advertise or bind Boss participants until a protected provider supplies all of the required broker identity, credential-registry, authority-transition, and participant-health predicates. Boss-scoped discovery and routing fail closed across ordinary sessions and other Boss runs. The boss_participant and boss_reviewer launch-profile markers make production Codex launches fail with PROVIDER_AUTHORITY_UNAVAILABLE: this adapter has no broker-owned, artifact-attested provider executable and therefore never resolves protected launches through caller PATH. Their non-spawning parser validators still reject disabled approvals and danger-full-access, and reviewers remain read-only. The markers do not install or advertise a restricted operation client. Restricted Boss operation clients are not advertised or exported yet. They remain unavailable until the protected broker can provision both the binding and transport through a non-caller-forgeable factory.

Install

For normal use, install the package so the command-line entry points are on PATH:

npm install -g @ctliz/agent-intercom-codex@connect
# or by exact prerelease version
npm install -g @ctliz/agent-intercom-codex@0.12.0-connect.7

This provides:

  • codex-intercom-mcp

  • codex-intercom-bridge

  • coi

Then add the MCP server to Codex:

codex mcp add codex-intercom -- codex-intercom-mcp

Optional MCP identity variables can be attached at registration time:

codex mcp add codex-planner \
  --env CODEX_INTERCOM_NAME=planner \
  --env CODEX_INTERCOM_SESSION_ID=codex-planner \
  --env CODEX_INTERCOM_MODEL=codex \
  -- codex-intercom-mcp

Per-command environment variables passed to codex exec are not forwarded into the MCP server process. Configure identity on the MCP server entry when you need stable names or IDs.

To let a Pi manager create Codex workers with owned systemd cgroups, leases, model/effort selection, logs, and verified cleanup, install the companion Pi packages:

pi install git:github.com/ctliz/agent-intercom-pi@v0.12.0-connect.8
pi install git:github.com/ctliz/agent-intercom-orchestrator@v0.12.0-connect.5

Restart Pi or run /reload, then call agent_fleet({ action: "doctor" }). The orchestrator invokes the installed coi command, or a separately configured minimal wrapper such as coim; it does not replace this Codex adapter.

Plugin Use

This repo also includes Codex plugin metadata:

  • .codex-plugin/plugin.json

  • .mcp.json

  • skills/codex-intercom/SKILL.md

The plugin packages the MCP server and the optional intercom skill. It is useful when you want Codex to install and manage the intercom integration as a plugin. For a deliberately minimal profile, prefer direct MCP configuration with codex-intercom-mcp; that lets you disable plugins and skills while keeping the intercom tools.

Tools

  • intercom_whoami: show this session's intercom ID, name, cwd, and model.

  • intercom_team: show the current manager and live coworkers owned by that manager.

  • intercom_status: show connection status and pending message counts.

  • intercom_list: list local Pi, Codex, Claude Code, and OpenCode sessions in your scope (protocol v4 is same-scope; cross-scope contact requires an exact full session ID).

  • intercom_set_summary: publish a short discoverable status.

  • intercom_send: send a non-blocking message.

  • intercom_ask: send a question and wait for the target's reply.

  • intercom_pending: read queued inbound messages and unresolved asks.

  • intercom_reply: reply to a pending inbound ask; use to plus which: "oldest" | "latest" if one sender has multiple unresolved asks.

Pending output never exposes protocol message IDs. Keep at most one unresolved intercom_ask to the same recipient; the broker rejects a second ask and recommends intercom_send for a non-blocking follow-up. Use intercom_send—not intercom_ask—for assignments and progress/status checkpoints.

Persistent Codex bridges and plain MCP runtimes automatically reconnect their stable Intercom identity after a broker restart, so a live worker does not need to be respawned merely to become reachable again.

Example:

intercom_team({})
// Manager: manager-id [connected]
// You: worker-a
// Coworkers: reviewer target=reviewer (claude, challenger, running) [connected]

intercom_ask({
  to: "worker-a",
  message: "Please inspect the failing test and reply with the likely cause.",
  timeout_ms: 45000
})

Blocking asks default to a short bounded wait and reject waits over 120 seconds. For longer work, use intercom_send and check later with intercom_pending.

Wakeable Workers With coi

coi starts a per-agent Codex app-server socket, registers an intercom sidecar for that socket, creates or resumes the sidecar's app-server thread, then launches an interactive Codex UI attached to the same socket and thread.

Start a named worker:

coi --name worker-a --id worker-a

If you launch wakeable workers often, a shell alias keeps coi distinct from a plain codex session:

alias codex-intercom='coi'

Then run codex-intercom --name worker-a --id worker-a. The alias is optional; the important part is launching through coi, because the wrapper owns the app-server sidecar that wakes on incoming work and the terminal integration that provides Alt+I and Alt+M. Starting codex directly with only the MCP server still provides intercom tools, but not those host-level behaviors.

Useful flags:

coi --name api-worker --id api-worker
coi --cwd /path/to/project --instructions "Reply tersely. Ask before destructive changes."
coi --no-tui --name background-worker --id background-worker

Everything not recognized as a sidecar flag is passed through to codex resume --remote, so normal Codex flags still work. Prompt arguments are placed after the resumed sidecar thread ID.

While the coi TUI is open, press Alt+I to copy a short handoff snippet for the current intercom session. As in pi-intercom, the snippet uses the unique session name when possible and falls back to the stable intercom session ID. The shortcut is provided by the coi launcher; plain MCP-only Codex sessions do not have a plugin API for custom TUI actions.

Press Alt+M to insert the Codex intercom session-picker request. Codex will call intercom_list, show the available sessions, ask which peer and message you want, then use intercom_send. Codex does not expose native slash-command or overlay registration, so coi provides this assisted flow instead of claiming a native /intercom command. The equivalent MCP tools remain available directly in every Codex session.

Action

Codex surface

Choose a session and send

Alt+M in coi

Copy this session's contact target

Alt+I in coi

Find an orchestrator-owned manager or coworker

intercom_team

Script or ask directly

intercom_list, intercom_send, intercom_ask

The shortcut uses native clipboard helpers locally and OSC 52 for SSH sessions. If clipboard access fails, coi inserts the snippet into the Codex composer. Disable the PTY-backed shortcut with --no-intercom-shortcut or CODEX_INTERCOM_SHORTCUT=0. The optional node-pty dependency is only loaded when the shortcut is enabled in an interactive terminal; if it is unavailable, coi launches the normal Codex TUI without the shortcut.

coi also applies Codex runtime flags such as --sandbox, --ask-for-approval, and --add-dir to wake-triggered sidecar turns. For example, coi --name worker-a --id worker-a --sandbox workspace-write lets intercom-woken turns write inside the worker workspace instead of falling back to read-only.

The sidecar inherits CODEX_HOME, which makes it useful with a normal Codex home or a dedicated minimal home.

Every packaged executable writes one machine-searchable identity line to stderr before application startup:

[agent-intercom-build] package=@ctliz/agent-intercom-codex version=0.11.0-connect.2 target=coi sourceSha256=<64-hex-source-identity>

dist/build-info.json records the same deterministic runtime-source identity. Use the line from the actual process journal—not the current file path or mtime—to prove which bundle a remote worker loaded. Test-only changes do not alter the identity; any runtime, build-script, package, or pinned-dependency change does.

Minimal Wakeable Profile

A minimal profile is useful for workers that should stay focused on code and coordination. It reduces prompt/tool surface area by isolating the worker from your normal Codex config, memories, plugins, browser surfaces, image generation, and extra skills. Keep goals and multi-agent support on so the worker can track the task and delegate subtasks.

Create a dedicated Codex home:

export CODEX_MIN_HOME="$HOME/.codex-min-intercom"
mkdir -p "$CODEX_MIN_HOME"

$CODEX_MIN_HOME/config.toml:

model = "gpt-5.5"
web_search = "disabled"

[features]
apps = false
memories = false
web_search = false
web_search_cached = false
web_search_request = false

# Keep the core coding-agent surface.
goals = true
multi_agent = true
shell_tool = true
unified_exec = true
auto_compaction = true
tool_call_mcp_elicitation = true

# Disable optional/distraction-heavy surfaces.
browser_use = false
browser_use_external = false
browser_use_full_cdp_access = false
in_app_browser = false
computer_use = false
image_generation = false
plugins = false
plugin_sharing = false
tool_suggest = false
skill_mcp_dependency_install = false
hooks = false
workspace_dependencies = false

[mcp_servers.codex-intercom]
command = "codex-intercom-mcp"

After the first launch, Codex may populate system skills under the alternate home. To keep the profile minimal without deleting anything, list the skill paths:

find "$CODEX_MIN_HOME/skills" -name SKILL.md -print

For each skill you want disabled, add a config entry:

[[skills.config]]
path = "/absolute/path/from/find/SKILL.md"
enabled = false

There is no required alias name. A short alias such as cim keeps the minimal worker easy to launch:

cim() {
  local home="${CODEX_MIN_HOME:-$HOME/.codex-min-intercom}"
  local yolo="${CODEX_YOLO:-1}"
  case "${1:-}" in
    yolo|--yolo|on) shift; yolo=1 ;;
    safe|--safe|off) shift; yolo=0 ;;
  esac
  local args=(--name codex-min)
  [ "$yolo" = 1 ] && args+=(--dangerously-bypass-approvals-and-sandbox)
  CODEX_HOME="$home" coi "${args[@]}" "$@"
}

This alias intentionally defaults the minimal worker to yolo mode: no approval prompts and no filesystem sandbox. Use it only for workers you trust with the current machine account, or remove the bypass flag when you want a safer workspace-scoped worker. Use cim safe ... or set CODEX_YOLO=0 to launch without the bypass flag.

Use it like:

cim --name worker-a --id worker-a
cim --name reviewer --id reviewer --instructions "Review only; do not edit files."
cim --no-tui --name background-worker --id background-worker
cim safe --name safe-worker --id safe-worker --sandbox workspace-write

If you are developing this repository from a checkout instead of installing the package, build and link it:

npm install
npm run build
npm link

Or point an alias directly at the checkout:

cim() {
  local home="${CODEX_MIN_HOME:-$HOME/.codex-min-intercom}"
  local repo="${CODEX_INTERCOM_REPO:-/absolute/path/to/agent-intercom-codex}"
  local yolo="${CODEX_YOLO:-1}"
  case "${1:-}" in
    yolo|--yolo|on) shift; yolo=1 ;;
    safe|--safe|off) shift; yolo=0 ;;
  esac
  local args=(--name codex-min)
  [ "$yolo" = 1 ] && args+=(--dangerously-bypass-approvals-and-sandbox)
  CODEX_HOME="$home" node "$repo/dist/coi.mjs" "${args[@]}" "$@"
}

Manager And Worker Pattern

Use one Codex session as the manager and one or more coi sessions as wakeable workers. The manager keeps the task shaped, feeds work to workers, watches for drift, and decides when the work is ready to finish.

Example worker launch in tmux:

tmux new-session -d -s worker-a 'cd /path/to/project && cim --name worker-a --id worker-a'

Then ask the worker from the manager session:

intercom_ask({
  to: "worker-a",
  message: "Please create a goal for the task, inspect the handoff, and report your first plan.",
  timeout_ms: 45000
})

Recommended manager prompt:

Start a wakeable worker in tmux using the minimal intercom alias:

  tmux new-session -d -s <worker-id> 'cd <repo> && cim --name <worker-id> --id <worker-id>'

Give the worker a FEAT.md-style handoff:

# FEAT: <short task name>
Objective: <what must be true when done>
Context: <repo, branch, issue, constraints, important files>
Approach: <suggested first steps, but allow the worker to adjust>
Verification: <commands/tests/checks that should pass>
Definition of done: <clear finish criteria>
Coordination: create a goal, use subagents when useful, keep the manager updated through intercom, ask before risky or broad changes, and keep work in a branch/worktree when appropriate.

Tell the worker to create and maintain its own goal, use agents for parallel investigation or review, and report blockers early. As manager, keep sending focused follow-up work through intercom, keep the worker on task, and handle PR or final handoff when the implementation is ready.

For non-blocking delegation, use intercom_send and check back later. For a decision the manager needs before continuing, use intercom_ask.

App-Server Bridge

Use codex-intercom-bridge when you want one process to publish one or more configured virtual Codex workers without launching an interactive TUI for each worker.

Create a bridge config:

{
  "statePath": "/path/to/intercom/codex-bridge-state.json",
  "agents": [
    {
      "id": "codex-worker",
      "name": "codex-worker",
      "cwd": "/path/to/project",
      "model": "gpt-5.5",
      "instructions": "Reply concisely. Ask before making destructive changes."
    }
  ]
}

Start it:

codex-intercom-bridge --config "$HOME/.config/codex-intercom/bridge.json"

Then other local sessions can target codex-worker with intercom_send or intercom_ask. The bridge stores each worker's app-server threadId in statePath, so later messages continue the same Codex thread.

By default, bridge turns run with approvalPolicy: "never" and read-only, network-disabled sandboxing. Override approvalPolicy or sandboxPolicy in the agent config only when you explicitly want a background worker to have more authority.

Development

Clone and run from source:

git clone https://github.com/ctliz/agent-intercom-codex.git
cd agent-intercom-codex
npm install
npm run build
npm test

For MCP development, register the TypeScript source directly:

codex mcp add codex-intercom-dev -- npx --no-install tsx ./codex/server.ts

Use either the built install or the dev install in a given Codex profile. Running both at the same time can register duplicate intercom MCP tools.

Agent Intercom Compatibility

agent-intercom-pi is the Pi-native adapter with overlays, inline rendering, and Pi triggerTurn delivery. This repository, agent-intercom-codex, is the Codex MCP/plugin adapter plus wake-on-message Codex app-server sidecars. The Claude Code and OpenCode adapters join the same broker and appear in the same session list.

All four repositories vendor the compatible local broker/client protocol so any adapter can start the broker and communicate across harness boundaries.

Releasing

Releases are automated from version tags. Update package.json, the lockfile when present, and CHANGELOG.md on main, then push an annotated tag that exactly matches the package version:

git tag -a vX.Y.Z -m "vX.Y.Z"
git push origin vX.Y.Z

The release workflow verifies that the tag points into main, runs typecheck, tests, and the build, publishes the public npm package with trusted OIDC provenance, and creates the GitHub Release. Existing npm versions and GitHub Releases are skipped safely when a workflow is rerun.

Compatibility, Migration & Rollback

  • Single Shared Broker: The broker-capable adapters on the machine — pi, claude, codex, and opencode — connect to one local broker over a Unix domain socket (~/.pi/agent/intercom/broker.sock or $PI_CODING_AGENT_DIR/intercom/broker.sock).

  • Coordinated Upgrade Set: Protocol v4 changes broker negotiation, so the broker-capable adapters that are actually installed and enabled on this machine must be upgraded together in one maintenance window. Adapters you do not use do not need to be installed to satisfy the upgrade. @ctliz/agent-intercom-core is an internal dependency that arrives with the adapters and is never installed or upgraded on its own.

  • Orchestrator is Optional: agent-intercom-orchestrator is an optional Linux/systemd lifecycle component. It does not implement or start a Broker and is not part of the Broker compatibility set. Omitting it — for example on macOS, or when using TmuxDeck — is a fully supported configuration and is not a mixed or unsupported state. If it is installed on a supported Linux host, or on WSL with a systemd user manager enabled, update it together with the adapters it manages.

  • Fail-Closed Legacy Handling: An incompatible legacy (v3) broker or client fails closed. It is rejected at negotiation and never killed, never downgraded, and never allowed to form a second broker island.

  • Rollback: Rolling back covers only the components that were actually installed on this machine before the upgrade. Restore the exact specs and lockfiles you backed up, then reload the affected agent sessions. Roll Orchestrator back only if it was installed to begin with. There is no published pre-v4 tag under ctliz, so a pre-upgrade backup of the exact installed specs/locks is the supported rollback material. Leaving some installed broker-capable adapters on the old protocol while others are upgraded is an unsupported mixed state.

License

The current project is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later). If you modify this software and make the modified version available to users over a network, the AGPL requires you to offer those users the corresponding source code.

Portions derived from the original MIT-licensed pi-intercom project retain their original notices. See THIRD_PARTY_NOTICES.md and licenses/MIT-pi-intercom.txt. Versions already published under MIT remain available under their original terms. See LICENSE_TRANSITION.md for the exact commit and tag boundary.

Upgrading from connect.1 to connect.2

connect.2 renames the package namespace from @dataforxyz/* to @ctliz/*. The two namespaces are different packages to npm. Pi Git package installations deduplicate by repository URL without ref, but running agent sessions continue to execute legacy code in memory, and npm or global installs along with binary links can coexist and conflict. Operators must stop active sessions, clean active install surfaces, and follow remove-before-install — side-by-side installation is not supported.

  1. Back up the exact specs, lock files, and settings of every installed component.

  2. Stop or close the installed broker-capable adapters.

  3. Remove the old @dataforxyz/* specs, packages, and binary links that are actually installed.

  4. Assert the old identity is gone from the active install surfaces of the current OS user: Pi settings and extension specs, resolved managed install roots, actual node_modules installations, and conflicting binary links that the current PATH would resolve. Do not scan or delete unrelated source checkouts, historical documentation, or other users' files — a @dataforxyz/* string in an unrelated development clone is not an installation.

  5. Install the @ctliz/* connect.2 exact tags for the components you actually use (v0.11.0-connect.2).

  6. Reload or restart, then verify exactly one broker is running.

Classification rule. Migration-aware connect.2 setup and update tooling must classify an old-namespace-only install surface as MIGRATION_REQUIRED, and the simultaneous presence of both namespaces as a duplicate/dual-load hard error that refuses setup, update, and further installation. This tooling does not exist for every platform and adapter combination; where it is not available, apply the same two rules manually against the surfaces in step 4. Do not assume every adapter emits this code automatically.

Rollback reverses this and covers only the components that were installed on this machine before the upgrade: remove the @ctliz/* packages, then restore the backed-up exact @dataforxyz/* specs and locks. Roll Orchestrator back only if it was installed to begin with.

The connect.1 tags, source commits, and published release assets are immutable and are not modified by this migration. Release notes may carry an explicit erratum, which corrects the description only and never moves a tag or replaces an asset.

These packages are not published on the npm registry yet; install from the GitHub tags shown above.

Available Tools

9 tools
intercom_askA

Ask another intercom session a question only when the next step depends on its reply. Use intercom_send for assignments, progress/status checkpoints, and notifications.

ParametersJSON Schema
NameRequiredDescriptionDefault
toYes
messageYes
timeout_msNoMaximum time to wait for a reply before returning an error. Use intercom_send plus intercom_pending for longer work.
attachmentsNo

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description reveals an important behavioral trait: this is a blocking question that should only be used when the reply is required for the next step. Annotations provide readOnly=false and destructive=false but do not explain the blocking/waitting nature, so the description adds meaningful context beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with no wasted words. The primary condition is front-loaded, and the alternative sibling is mentioned immediately after, making the guidance easy to scan and apply.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description gives strong when-to-use and routing guidance, and the timeout_ms schema adds useful blocking/error behavior. However, there is no output schema and no explicit statement about what the tool returns, and the recipient/attachment semantics remain underspecified. It is adequate for simple use but incomplete for full confidence in all invocation paths.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 25%; only timeout_ms is documented. The description indirectly hints that 'to' refers to another intercom session and 'message' is the question, but it does not explain message format, how to identify the target session, or what attachments mean. With such low schema coverage, the description needed to compensate more and does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action: ask another intercom session a question, and attaches a clear condition (only when the next step depends on its reply). It also differentiates the tool from intercom_send by naming what that sibling is for, so an agent can select the right tool without relying solely on the name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use the tool: only when the next step depends on the reply. It also gives a direct alternative: use intercom_send for assignments, progress/status checkpoints, and notifications. The timeout_ms schema description reinforces this by recommending intercom_send plus intercom_pending for longer work.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

intercom_listA
Read-onlyIdempotent

List intercom-connected Pi or Codex sessions on this machine.

ParametersJSON Schema
NameRequiredDescriptionDefault
scopeNomachine
include_selfNo

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful scopng context—'intercom-connected Pi or Codex sessions' and 'on this machine'—but does not disclose return format, ordering, filtering, or other runtime behavior. No contradiction with the annotations is present.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single focused sentence with no filler. The verb 'List' and the key resource and location qualifiers are front-loaded, making the core purpose immediately clear.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only list tool, the description is usable and the annotations provide the safety context. However, the two optional parameters are not semantically explained, no output schema exists to clarify return values, and there is no guidance distinguishing this from status/pending siblings, so the description is not fully self-sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for missing parameter meaning. The phrase 'on this machine' weakly aligns with the default scope=machine, but the description does not explain the directory/repo scope values or the meaning of include_self at all.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'List' with a clear resource: 'intercom-connected Pi or Codex sessions' on 'this machine'. This differentiates it from siblings like intercom_reply, intercom_send, and intercom_ask, which are communication actions, and from intercom_status/intercom_whoami, which query status or identity rather than enumerate sessions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool should be used when an agent needs to enumerate local intercom sessions, but it does not explicitly state when to prefer this tool over siblings such as intercom_status or intercom_pending. There are no clear exclusions or alternative routing clues beyond the verb and resource.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

intercom_pendingC
DestructiveIdempotent

Read unread inbound messages and unresolved asks for this Codex session.

ParametersJSON Schema
NameRequiredDescriptionDefault
mark_readNo

TDQS

C2.6/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description contradicts the annotations: it says 'Read', but annotations declare readOnlyHint=false and destructiveHint=true, suggesting side effects or mutation. The mark_read parameter's impact is not disclosed, creating a serious behavioral inconsistency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no wasted words. It is concise and structurally efficient, though it omits important behavioral and parameter details that are scored elsewhere.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and mixed annotations, the description leaves the return value, side effects, and mark_read behavior unexplained. The annotation contradiction further undermines the agent's ability to use the tool confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not mention mark_read, its default value, or the consequences of setting it to true. The agent cannot understand the only parameter from either the schema or the description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies a specific operation: reading unread inbound messages and unresolved asks scoped to the current Codex session. This distinguishes it from siblings like intercom_send or intercom_reply, which are clearly different actions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies a polling/checking use case but gives no explicit guidance on when to use this tool over alternatives like intercom_list or intercom_status. No exclusions or sibling comparisons are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

intercom_replyA
Destructive

Reply to a pending inbound ask. Use to plus which=oldest/latest when one sender has multiple unresolved asks.

ParametersJSON Schema
NameRequiredDescriptionDefault
toNoOptional sender/session selector; never a message or thread ID.
whichNoSelect the oldest or latest ask from the chosen sender.
messageYes

TDQS

A3.8/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already flag this as a destructive, non-idempotent mutation, and the description does not contradict those hints. The description adds that it targets pending inbound asks and that 'to' is a sender/session selector, but it does not disclose concrete side effects such as whether the ask is resolved or removed after replying. With annotations carrying the safety profile, a middle score is appropriate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences, front-loaded with the main action and no redundant phrasing. The only minor flaw is the awkward 'Use to plus which=...' construction, which would benefit from quotes around parameter names, but it remains compact and useful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool description covers the main purpose and the multi-ask selection case, but leaves gaps around the optionality of 'to' (what recipient is used when omitted) and the post-reply effect on the pending ask. No output schema is present, so the return value is also unspecified, which is acceptable for a send action but still leaves room for additional context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema descriptions already cover 'to' and 'which'; the description adds the dependency between them (use together when one sender has multiple unresolved asks), which is helpful. However, the required 'message' parameter has no description beyond its name and type, and the description does not clarify what happens when 'to' is omitted. With 67% schema description coverage, this is adequate but not outstanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific action ('Reply') and a specific resource ('pending inbound ask'), which clearly separates it from generic intercom_send and other siblings. The second sentence adds selector nuance, making it even easier to distinguish from intercom_pending and intercom_ask.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives clear context for when to use: there must be a pending inbound ask to reply to. It also provides a concrete conditional for using 'to' plus 'which' when one sender has multiple unresolved asks. It does not explicitly name alternative tools or when not to use it, but the intended situation is clearly implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

intercom_sendA

Send a non-blocking direct message to another intercom session by name, full ID, or unique ID prefix.

ParametersJSON Schema
NameRequiredDescriptionDefault
toYes
messageYes
attachmentsNo

TDQS

A3.8/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds the behavioral trait 'non-blocking', which is not fully captured by the annotations, and clarifies target resolution by name, full ID, or unique ID prefix. It does not contradict the annotations and provides useful context beyond the structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence containing only essential information: the action, the target, the non-blocking behavior, and accepted target identifiers. No filler or repetition; the most important information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is adequate for a simple send operation, but it omits explicit guidance on alternatives and does not describe what the caller should expect in return (there is no output schema). It covers the core send behavior but leaves some operational context to inference.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for parameter meaning. It meaningfully explains the 'to' parameter by listing accepted formats, but it does not clarify the semantics of 'message' or 'attachments' beyond their names. The schema provides structure, but the description leaves most parameter meaning implicit.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Send') with a clear resource ('direct message to another intercom session') and explains the acceptable target formats ('by name, full ID, or unique ID prefix'). This clearly differentiates it from siblings like intercom_reply, which likely targets the current session.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context by specifying 'non-blocking' and 'another intercom session', suggesting it is for outbound direct messages rather than replies. However, it does not explicitly name alternatives or state when not to use this tool, leaving some inference to the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

intercom_set_summaryA
DestructiveIdempotent

Publish a short status summary so other sessions can discover what this Codex session is doing.

ParametersJSON Schema
NameRequiredDescriptionDefault
summaryYes

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, destructiveHint=true, and idempotentHint=true, covering the mutation and repeat-call behavior. The description adds the transparency that the summary is published for other sessions to discover, which is useful beyond the schema. It does not contradict annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One concise sentence with all necessary information: the action, object, and purpose. No filler or redundancy. Front-loaded with the key verb 'Publish' and the resource.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple: one required parameter, no output schema, no nested objects. The description plus annotations provide enough to call it correctly. It states what to put in the summary, why, and the mutating behavior is captured by annotations. Minor omission: it doesn't explicitly say that calling it again overwrites the previous summary, though that's implied by idempotentHint and the nature of a status setter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate for the 'summary' parameter. It specifies that the summary should be 'short' and should describe what this Codex session is doing, giving meaningful content guidance. However, it does not clarify format, tone, or whether the summary replaces a previous one. For a single param, this is adequate but not thorough.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses the verb 'Publish' with the resource 'short status summary' and specifies the audience and purpose: helping other sessions discover what this Codex session is doing. This clearly differentiates from sibling tools like intercom_reply or intercom_send, which focus on interactive communication, and from intercom_status, which likely retrieves status rather than setting it. It lacks an explicit contrast with siblings but the purpose is evident.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the usage: use it when you want other sessions to discover what this session is currently working on. That is a contextual signal, but there is no explicit when-to-use versus alternatives or exclusions. It does not mention that intercom_status could be an alternative for status retrieval, so the guidance remains implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

intercom_statusA
Read-onlyIdempotent

Show intercom connection status, active sessions, unread messages, and pending asks.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds the specific status elements returned, which is useful but does not add behavioral traits beyond the annotations. No contradiction exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one short sentence, front-loaded with the main purpose and followed by a clear list of included items. Every word contributes information; there is no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, read-only status tool with safety annotations already provided, the description is nearly complete. It names all reported categories. However, it leaves minor ambiguity about how 'pending asks' relates to the sibling intercom_pending tool, which could be clarified without much extra text.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters, and schema description coverage is 100% (vacuously). With no parameters to describe, the description's silence is appropriate. Baseline for 0-param tools is 4, and nothing is lacking.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource ('Show intercom connection status') and enumerates concrete contents: connection status, active sessions, unread messages, and pending asks. It clearly distinguishes itself from action-oriented siblings like send/reply/ask, though it does not explicitly differentiate from intercom_pending, which may overlap on 'pending asks'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives. The sibling list includes intercom_pending and intercom_list, which could serve similar informational purposes, but the description never mentions them or gives selection criteria. The usage context is entirely implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

intercom_teamA
Read-onlyIdempotent

Show your current manager and the live coworkers owned by that manager. No arguments are required.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the word 'live' which implies real-time current data, but no additional behavioral context like freshness guarantees or potential inconsistencies. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence that states purpose and argument requirement with no wasted words. Every element earns its place and the structure is immediately parseable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, read-only tool with robust annotations, the description gives what the tool does and that no arguments are needed. The phrase 'live coworkers' leaves slight ambiguity (currently online vs. current team roster), but overall it is sufficient for an agent to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are zero parameters, and the schema already reflects that with an empty properties object. The description explicitly states 'No arguments are required,' reinforcing the schema and preventing an agent from inventing arguments. This matches the baseline for zero-parameter tools.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Show' and the specific resource: 'your current manager and the live coworkers owned by that manager.' This distinguishes it from siblings like intercom_whoami (shows self) and intercom_list (generic list), making the tool's function unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The usage context is implied by the purpose: use when the agent needs to show team structure under the current manager. However, there is no explicit guidance on when to choose this over alternatives or when it is inappropriate. The note 'No arguments are required' addresses invocation but not selection criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

intercom_whoamiA
Read-onlyIdempotent

Return this Codex session's intercom identity for reliable targeting.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A4.3/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that the returned identity is meant for targeting, but it does not disclose the return format or any further behavioral details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence with no wasted words. The key information is front-loaded: what the tool returns and why it is useful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a no-parameter, read-only identity lookup, the description is sufficient. It clearly tells the agent what the tool produces and why that output matters, and no additional invocation guidance is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and 100% schema coverage, so the parameter semantics burden is minimal. The baseline for a zero-parameter tool is 4, and the description does not need to explain parameter behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Return'), a specific resource ('this Codex session's intercom identity'), and a clear purpose ('for reliable targeting'). This distinguishes it from the sibling intercom tools, which handle other actions like sending, replying, or listing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'for reliable targeting' gives clear context for when to call this tool: before actions that need to address the current session. However, it does not explicitly name alternatives or state when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 9 tool updatesv0.11.0-connect.1
    • First observedintercom_ask
    • First observedintercom_list
    • First observedintercom_pending
    • First observedintercom_reply
    • First observedintercom_send
    • First observedintercom_set_summary
    • First observedintercom_status
    • First observedintercom_team
    • First observedintercom_whoami

TDQS

A3.7/5.0
Disambiguation5/5

Each tool has a distinct role: identity, team/status discovery, session listing, summary publishing, sending, asking, reading, and replying. The send/ask/reply trio is clearly differentiated by blocking semantics and direction, and whoami/team/list/status are all easily separable.

Naming Consistency3/5

All tools share the 'intercom_' prefix, but the suffixes mix imperative verbs (send, ask, reply, list), nouns (team, status, pending), and special forms (whoami, set_summary). This is readable but not a consistent verb_noun pattern across the set.

Tool Count5/5

Nine tools is well within the ideal range for a focused inter-session messaging server. Each tool addresses a distinct communication or discovery need without unnecessary bloat.

Completeness4/5

The set covers the full messaging lifecycle: identity discovery, session listing, status checks, sending (with blocking and non-blocking variants), reading pending messages, and replying. Minor gaps exist, such as no message history or explicit read-marking, but they do not hinder core intercom workflows.

Maintenance

ActivityActive
ResponsivenessNo issues

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    A local MCP server that connects AI coding agents (Claude Code, Codex, Cursor, etc.) on the same machine via a shared message bus, enabling them to chat, delegate tasks, and collaborate privately without cloud or internet.
    30
    17
    MIT
  • A
    license
    Not graded
    quality
    F
    maintenance
    MCP server that lets multiple coding-agent sessions on the same machine discover each other and collaborate through a shared SQLite database.
    37
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    MCP server for inter-agent communication. Gives multiple Claude Code sessions a shared message board, agent registry, and orchestration layer — backed by a cloud relay so agents can coordinate across machines, repos, and teams.
    8
    53
    MIT

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ctliz/agent-intercom-codex'

If you have feedback or need assistance with the MCP directory API, please join our Discord server