Codex Delegate MCP
The server acts as a bridge to delegate coding tasks to the OpenAI Codex CLI from AI assistants. It supports four modes:
Agent mode: multi-file implementation.
Plan mode: structured plan without code changes.
Ask mode: read-only Q&A over the codebase.
Review mode: code review over uncommitted changes, base branch diff, or commit SHA.
You can customize each delegation with model choice, reasoning effort, network access, timeout, and working directory. Resume previous threads with resumeThreadId. Cancel running delegations by delegation ID, thread ID, or all at once. Diagnose setup with the doctor tool (including deep checks). Run multiple tasks in parallel, with warnings if workspaces overlap. Output includes status, result, files edited, token usage, warnings, thread ID, and delegation ID.
Delegates coding tasks to the OpenAI Codex CLI, enabling agents to plan, implement, ask questions, and review code, with structured results, thread management, and cancellation.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Codex Delegate MCPRefactor auth module to async/await and add unit tests"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Codex Delegate
Stop burning your frontier agent's limits on boilerplate.
Delegate implementation to the OpenAI Codex CLI — your agent writes the brief and reviews the diff.
Use your best coding agent where its judgment matters most: understanding the task, shaping the plan, and reviewing the result.
Codex Delegate is the MCP bridge that lets Claude Code, Cursor, Copilot — or any MCP client — hand implementation to the OpenAI Codex CLI, then get a clean, structured result back for review.

🧠 Frontier quality, kept
Your assistant does what frontier models are actually for: understands the task, writes a precise brief, reviews the finished diff. Codex holds its own as the implementer — guided and checked by a smarter orchestrator. The result reads like frontier work, because a frontier model planned it and signed off on it.
Related MCP server: Universal Coder Bridge
⚡ Done faster
Codex tears through multi-file edits while a frontier chat model would still be streaming the first file. You delegate, keep working with your assistant, and the diff shows up done.
🔋 Your limits stop being the bottleneck
Delegated work runs on the OpenAI Codex CLI and its own usage — separate from your orchestrator's chat quota, though the Codex side still bills its own way. Your Claude, Cursor, or Copilot subscription spends tokens on the brief and the review; Codex does the grinding. On API? That's the per-token grind moved off your main bill.


Features
📦 One result you can review — a compact JSON block: the final answer,
status, the files Codex's edit tools reported changing, per-turn token counts, and thethreadIdto continue from. Fields that carry no signal are omitted.📋 Plan first, then build it on the same thread —
planreturns schema-validated steps for you to approve, andagentimplements them.askanswers questions.reviewruns Codex's own reviewer over uncommitted work, a base branch, or a single commit.🧵 Resume — continue a Codex thread with
resumeThreadId.resumed: falsetells you the context did not carry over.🧑🤝🧑 Run several, cancel cleanly — the same question across models, or independent workers on independent directories.
cancelwaits for the exit and warns when a process outlives the kill deadline.🤝 One-command install — Claude Code and GitHub Copilot CLI take it as a plugin, with a skill that teaches your agent how to delegate well. Cursor, VS Code, JetBrains, Windsurf and Visual Studio add the stdio server in settings.
🩺
doctor— tells you exactly what's missing if setup isn't right.
Install
You need Node.js 20+ and the OpenAI Codex CLI, already logged in (codex login).
Claude Code
/plugin marketplace add andreilungeanu/codex-delegate-mcp
/plugin install codex-delegate@codex-delegate-mcpThen just ask:
Delegate to Codex: migrate src/api from callbacks to async/await and update the tests, then walk me through what changed.
That's the whole loop — Claude writes the brief, Codex grinds through the files, Claude walks you through the diff.
Cursor
Add an MCP server in Cursor Settings → MCP (or project .cursor/mcp.json):
{
"mcpServers": {
"codex-delegate": {
"command": "npx",
"args": ["-y", "codex-delegate-mcp"]
}
}
}Then ask Cursor to delegate implementation to Codex the same way.
GitHub Copilot CLI
copilot plugin install andreilungeanu/codex-delegate-mcpMore clients
{
"servers": {
"codex-delegate": {
"type": "stdio",
"command": "npx",
"args": ["-y", "codex-delegate-mcp"]
}
}
}Or run Chat: Install Plugin From Source with this repository's URL.
Under Settings → Tools → AI Assistant → Model Context Protocol (MCP), add a server with command npx and arguments -y codex-delegate-mcp.
{
"mcpServers": {
"codex-delegate": {
"command": "npx",
"args": ["-y", "codex-delegate-mcp"]
}
}
}Heads-up: Cascade caps you at 100 tools across all servers.
{
"servers": {
"codex-delegate": {
"type": "stdio",
"command": "npx",
"args": ["-y", "codex-delegate-mcp"]
}
}
}Requires 17.14+. Note the top-level key is servers, not mcpServers.
OpenCode does not use mcpServers. Local servers go under mcp, with type: "local" and command as one array:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"codex-delegate": {
"type": "local",
"command": ["npx", "-y", "codex-delegate-mcp"],
"enabled": true
}
}
}{
"mcpServers": {
"codex-delegate": {
"command": "npx",
"args": ["-y", "codex-delegate-mcp"]
}
}
}In the IDE: … on the agent panel → MCP Servers → Manage MCP Servers → View raw config. Antigravity 2.0, IDE, and CLI share the Gemini config file. You may need to approve the server's tools on first run.
Same shape as OpenCode: type: "local" and command as one array.
{
"mcp": {
"codex-delegate": {
"type": "local",
"command": ["npx", "-y", "codex-delegate-mcp"],
"enabled": true
}
}
}In the VS Code extension: Settings → MCP → Add Server → Local (stdio). On Windows, if npx is not found, use command cmd with arguments /c, npx, -y, codex-delegate-mcp.
{
"context_servers": {
"codex-delegate": {
"command": "npx",
"args": ["-y", "codex-delegate-mcp"],
"env": {}
}
}
}Zed's native agent uses this. External ACP agents in Zed read their own MCP config unless you forward Zed's servers.
Kiro and any other MCP client
Add the following server to the client's MCP config:
{
"mcpServers": {
"codex-delegate": {
"command": "npx",
"args": ["-y", "codex-delegate-mcp"]
}
}
}MIT © Andrei Lungeanu
Configuration · Security · Privacy · Terms · Changelog
Available Tools
3 toolscancelADestructiveIdempotent
Cancel active runs. delegationId selects one (announced in progress before spawn — the only handle if a run wedges at startup), threadId all on its thread, neither all. Waits for settlement; if a process tree survives the kill deadline, it still returns and the delegate result warns. Status: cancelled, nothing-active, or not-found (no active run with this ID).
| Name | Required | Description | Default |
|---|---|---|---|
| threadId | No | ||
| delegationId | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true and idempotentHint=true, and the description adds meaningful behavioral context: it waits for settlement, returns even if a process tree survives the kill deadline, and warns via the delegate result. It also enumerates the three possible statuses. This goes beyond the annotations without contradicting them.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three dense sentences with no filler. The most important selection semantics are front-loaded, and the status outcomes are compactly listed at the end. Every clause earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a cancellation tool with no output schema, the description covers selection semantics, wait behavior, failure behavior, and status outcomes. It does not describe the exact shape of the return value, but the status list and warning note give an agent enough to interpret the result. The sibling tools are simple enough that no further context is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description must carry the parameter semantics, and it does: delegationId selects one run, threadId selects all on a thread, and neither selects all. It also explains the special significance of delegationId as the only handle for a wedged startup. This fully compensates for the empty schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific verb and resource ('Cancel active runs') and immediately distinguishes the two selection modes (delegationId vs threadId) and the all-runs fallback. It also names the sibling context by explaining when delegationId is the only handle, which clearly separates it from delegate and doctor.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It explicitly states when to use delegationId (announced in progress before spawn, the only handle if a run wedges at startup), when to use threadId (all runs on its thread), and when to use neither (all active runs). This is direct when-to-use guidance with no ambiguity.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
delegateADestructive
Delegate a coding task to OpenAI Codex. Never run codex from the shell — use this tool. Check status before trusting result — a run that spawns then fails returns normally. Keep model, reasoningEffort and fast at their defaults unless the user asks. See the delegate skill.
| Name | Required | Description | Default |
|---|---|---|---|
| fast | No | Codex Fast mode; higher credit use. | |
| mode | No | agent implements; plan returns a structured plan; ask answers; review runs native review. | agent |
| spec | Yes | Brief with goal, scope, fixed decisions quoted exactly, and acceptance criteria; reference files instead of pasting code. | |
| model | No | Codex model id: gpt-5.6-luna, gpt-5.6-sol, gpt-5.6-terra, gpt-5.5, gpt-5.4, gpt-5.4-mini. | gpt-5.6-luna |
| timeoutMs | No | Whole-run cap in ms (default 1h). Mid-turn silence is allowed; startup has a separate 60s first-output deadline. | |
| webSearch | No | Codex's built-in web search. | |
| workspace | Yes | Codex's working directory; not confinement. Must already exist — never create one for the call. | |
| reviewTarget | No | Required in review; forbidden otherwise: uncommitted, base branch, or commit. | |
| resumeThreadId | No | Thread to continue. Reuse its workspace. Forbidden with review. | |
| reasoningEffort | No | minimal is rejected by every published model; none is accepted though the catalog omits it. | xhigh |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover the destructive, non-read-only nature of the tool. The description adds the non-obvious failure behavior: 'a run that spawns then fails returns normally,' plus the warning to check status before trusting the result.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is four short sentences, each carrying distinct information: purpose, invocation rule, failure caveat, and default policy. The critical safety warning is front-loaded before the pointer to the delegate skill.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 10-parameter tool with no output schema, the description covers the key invocation rules, failure behavior, and default policy, while the schema documents every parameter. It does not describe the return/status format or relate to cancel/doctor, but those are minor gaps given the strong schema and annotations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage and already explains each parameter in detail, including spec, workspace, reviewTarget, and reasoningEffort. The description adds only the default-keeping policy for model, reasoningEffort, and fast, which is useful but not essential for understanding the parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: 'Delegate a coding task to OpenAI Codex.' It also removes ambiguity by explicitly prohibiting shell invocation, and the action is clearly distinct from the sibling tools cancel and doctor.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It gives an explicit when-not and alternative: 'Never run codex from the shell — use this tool.' It also directs the agent to check status before trusting results and to keep model, reasoningEffort, and fast at defaults unless the user asks.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
doctorARead-onlyIdempotent
Diagnose plugin/CLI/login, recursion, and workspace (default: server cwd). deep adds no-quota help and model-catalog checks.
| Name | Required | Description | Default |
|---|---|---|---|
| deep | No | ||
| workspace | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the description only needs to add context beyond safety. It adds useful behavior: workspace defaults to server cwd and deep enables no-quota help plus model-catalog checks. It does not describe the output format or clarify ambiguous terms like 'recursion', but the safety profile is already covered.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with no filler: the first front-loads the diagnostic targets and workspace default, the second covers the 'deep' flag concisely. The phrasing is slightly cryptic, especially 'no-quota help', which prevents a 5.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description should clarify what a diagnosis produces or returns, but it does not. Both parameters and the safe read-only behavior are addressed, yet ambiguous terms such as 'recursion' and 'no-quota help' and the lack of any mention of the tool's output leave meaningful gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
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 documenting the parameters. It explains 'deep' as adding no-quota help and model-catalog checks, and it gives the workspace default as server cwd. It stops short of specifying workspace format or the exact meaning of 'no-quota help', but both parameters receive meaningful semantic context.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific verb 'Diagnose' and names concrete targets: plugin/CLI/login, recursion, and workspace. It also distinguishes the 'deep' mode by what it adds. It does not explicitly connect to the annotation title's 'Codex delegation setup' or differentiate from sibling tools, so it is not a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The verb 'Diagnose' and the list of target areas imply when the tool should be used, and 'deep adds no-quota help and model-catalog checks' gives a condition for enabling extra checks. However, it does not explicitly say when to use doctor versus the sibling tools delegate/cancel.
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 tool update
v2.2.1- Changed
delegate1 field changed- changed
Input schema / properties / reasoningEffort / descriptionPrevious value: -"gpt-5.6-* reject minimal; older models reject none."New value: +"minimal is rejected by every published model; none is accepted though the catalog omits it."
1 tool update
v2.0.0- Changed
delegate6 fields changed- changed
Input schema / properties / model / defaultPrevious value: -"gpt-5.6-terra"New value: +"gpt-5.6-luna" - changed
Input schema / properties / model / descriptionPrevious value: -"Codex model id: gpt-5.6-terra, gpt-5.6-sol, gpt-5.6-luna, gpt-5.5, gpt-5.4, gpt-5.4-mini and more."New value: +"Codex model id: gpt-5.6-luna, gpt-5.6-sol, gpt-5.6-terra, gpt-5.5, gpt-5.4, gpt-5.4-mini." - changed
Input schema / properties / reasoningEffort / defaultPrevious value: -"high"New value: +"xhigh" - changed
Input schema / properties / reasoningEffort / enumPrevious value: -[ - "none", - "minimal", - "low", - "medium", - "high", - "xhigh", - "max" -]New value: +[ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max", + "ultra" +] - changed
Input schema / properties / workspace / descriptionPrevious value: -"Codex's working directory; not confinement. Must already exist — never create one for the call. Defaults to the server cwd, often not the project root under npx/plugin. Required on resume: resume has no --cd."New value: +"Codex's working directory; not confinement. Must already exist — never create one for the call." - changed
Input schema / requiredPrevious value: -[ - "spec" -]New value: +[ + "spec", + "workspace" +]
3 tool updates
v1.21.1- Changed
cancel2 fields changed- removed
Input schema / properties / delegationId / descriptionRemoved value: -"Cancel this one delegation, by the id announced in its progress stream" - removed
Input schema / properties / threadId / descriptionRemoved value: -"Cancel every delegation running on this Codex thread"
- Changed
delegate11 fields changed- changed
Input schema / properties / fast / descriptionPrevious value: -"Codex Fast mode (service_tier=fast) — higher credit use"New value: +"Codex Fast mode; higher credit use." - added
Input schema / properties / mode / descriptionAdded value: +"agent implements; plan returns a structured plan; ask answers; review runs native review." - changed
Input schema / properties / model / descriptionPrevious value: -"Codex model id"New value: +"Codex model id: gpt-5.6-terra, gpt-5.6-sol, gpt-5.6-luna, gpt-5.5, gpt-5.4, gpt-5.4-mini and more." - removed
Input schema / properties / networkRemoved value: -{ - "default": true, - "description": "Web search, and network from Codex's shell in agent mode. false seals the run", - "type": "boolean" -} - changed
Input schema / properties / reasoningEffort / descriptionPrevious value: -"Reasoning effort. gpt-5.6-* reject minimal; older models reject none"New value: +"gpt-5.6-* reject minimal; older models reject none." - changed
Input schema / properties / resumeThreadId / descriptionPrevious value: -"Resume an existing Codex thread instead of starting a new one"New value: +"Thread to continue. Reuse its workspace. Forbidden with review." - changed
Input schema / properties / reviewTarget / descriptionPrevious value: -"Required in review mode: uncommitted, base branch, or commit sha"New value: +"Required in review; forbidden otherwise: uncommitted, base branch, or commit." - changed
Input schema / properties / spec / descriptionPrevious value: -"Task brief: goal, scope, decisions already made (quote the user's exact values), acceptance criteria. Point at files to read rather than pasting code."New value: +"Brief with goal, scope, fixed decisions quoted exactly, and acceptance criteria; reference files instead of pasting code." - changed
Input schema / properties / timeoutMs / descriptionPrevious value: -"Hard-cap timeout in milliseconds (default 1h). A long silent command is not a timeout; only the 60s spawn-to-first-output deadline is."New value: +"Whole-run cap in ms (default 1h). Mid-turn silence is allowed; startup has a separate 60s first-output deadline." - added
Input schema / properties / webSearchAdded value: +{ + "default": true, + "description": "Codex's built-in web search.", + "type": "boolean" +} - changed
Input schema / properties / workspace / descriptionPrevious value: -"Working directory for Codex. Optional; defaults to the server process cwd, which for npx and plugin launches is not necessarily your project root — pass it explicitly. Smallest directory holding the task's files; none → project root. Must already exist — never create one for the call. Required when resuming: codex exec resume has no --cd."New value: +"Codex's working directory; not confinement. Must already exist — never create one for the call. Defaults to the server cwd, often not the project root under npx/plugin. Required on resume: resume has no --cd."
- Changed
doctor1 field changed- removed
Input schema / properties / deep / descriptionRemoved value: -"When true, probe codex exec/review/resume --help surfaces"
3 tool updates
v1.18.1- Changed
cancel1 field changed- changed
Output schema / (root)Previous value: -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "additionalProperties": true, - "properties": { - "status": { - "enum": [ - "cancelled", - "nothing-active", - "not-running", - "not-found" - ], - "type": "string" - } - }, - "required": [ - "status" - ], - "type": "object" -}New value: +null
- Changed
delegate3 fields changed- changed
Input schema / properties / reasoningEffort / enumPrevious value: -[ - "none", - "minimal", - "low", - "medium", - "high", - "xhigh" -]New value: +[ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" +] - changed
Input schema / properties / workspace / descriptionPrevious value: -"Working directory for Codex (defaults to cwd)"New value: +"Working directory for Codex. Optional; defaults to the server process cwd, which for npx and plugin launches is not necessarily your project root — pass it explicitly. Smallest directory holding the task's files; none → project root. Must already exist — never create one for the call. Required when resuming: codex exec resume has no --cd." - changed
Output schema / (root)Previous value: -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "additionalProperties": true, - "properties": { - "cliVersion": { - "type": "string" - }, - "delegationId": { - "type": "string" - }, - "exitCode": { - "type": "integer" - }, - "filesReportedByEditTools": { - "items": { - "type": "string" - }, - "type": "array" - }, - "plan": { - "additionalProperties": false, - "properties": { - "overview": { - "type": "string" - }, - "steps": { - "items": { - "additionalProperties": false, - "properties": { - "detail": { - "type": "string" - }, - "title": { - "type": "string" - } - }, - "required": [ - "title", - "detail" - ], - "type": "object" - }, - "type": "array" - } - }, - "required": [ - "overview", - "steps" - ], - "type": "object" - }, - "reason": { - "enum": [ - "cancelled", - "startup-timeout", - "hard-cap", - "agent-error", - "died-mid-turn", - "exit-nonzero" - ], - "type": "string" - }, - "result": { - "type": "string" - }, - "resultSource": { - "const": "stream-fallback", - "type": "string" - }, - "resumed": { - "type": "boolean" - }, - "status": { - "enum": [ - "completed", - "failed", - "interrupted" - ], - "type": "string" - }, - "threadId": { - "type": "string" - }, - "usage": { - "additionalProperties": false, - "properties": { - "cacheWriteInputTokens": { - "type": "number" - }, - "cachedInputTokens": { - "type": "number" - }, - "inputTokens": { - "type": "number" - }, - "outputTokens": { - "type": "number" - }, - "reasoningOutputTokens": { - "type": "number" - } - }, - "type": "object" - }, - "warnings": { - "items": { - "type": "string" - }, - "type": "array" - }, - "workspace": { - "type": "string" - } - }, - "required": [ - "result", - "status", - "workspace" - ], - "type": "object" -}New value: +null
- Changed
doctor1 field changed- changed
Output schema / (root)Previous value: -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "additionalProperties": true, - "properties": { - "codex": { - "additionalProperties": true, - "properties": { - "found": { - "type": "boolean" - } - }, - "required": [ - "found" - ], - "type": "object" - }, - "plugin": { - "additionalProperties": true, - "properties": { - "version": { - "type": "string" - } - }, - "required": [ - "version" - ], - "type": "object" - }, - "runtime": { - "additionalProperties": true, - "properties": { - "node": { - "type": "string" - }, - "platform": { - "type": "string" - } - }, - "required": [ - "node", - "platform" - ], - "type": "object" - }, - "warnings": { - "items": { - "type": "string" - }, - "type": "array" - } - }, - "required": [ - "plugin", - "codex", - "runtime", - "warnings" - ], - "type": "object" -}New value: +null
2 tool updates
v1.14.1- Changed
cancel3 fields changed- added
Input schema / properties / delegationIdAdded value: +{ + "description": "Cancel this one delegation, by the id announced in its progress stream", + "type": "string" +} - changed
Input schema / properties / threadId / descriptionPrevious value: -"Cancel only when this thread is active"New value: +"Cancel every delegation running on this Codex thread" - changed
Output schema / properties / status / enumPrevious value: -[ - "cancelled", - "nothing-active", - "not-owned" -]New value: +[ + "cancelled", + "nothing-active", + "not-running", + "not-found" +]
- Changed
delegate1 field changed- added
Output schema / properties / delegationIdAdded value: +{ + "type": "string" +}
3 tool updates
v1.11.0- First observed
cancel - First observed
delegate - First observed
doctor
TDQS
Each tool has a clearly separate action: delegate starts work, cancel stops active runs, and doctor diagnoses the environment. There is no meaningful overlap or ambiguity between them.
All three tool names are single, lowercase imperative verbs (delegate, cancel, doctor), following a consistent and predictable style. No mixed naming conventions or confusing prefixes.
Three tools is well-scoped for a focused delegation and control server; each covers a distinct phase of the workflow. Nothing feels redundant, and the small count matches the narrow purpose.
The core lifecycle is covered: start work, cancel work, and diagnose setup issues. There is no explicit standalone status/list-tools operation, but delegate results and cancel statuses provide the necessary state information for the described workflow.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/andreilungeanu/codex-delegate-mcp'
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