Skip to main content
Glama

mcp-flow

One MCP endpoint for every AI harness — upstream secrets stay on the gateway.

Self-hosted workspace MCP gateway: register private and vendor MCP servers, store env/API keys encrypted, mint agent API keys, and share the same tool library across Cursor, Claude, OpenCode, OpenFlow assistants, and more. Optional central or edge runtimes run installable MCPs in a sandbox (or bare, if you opt in).

Hero: one MCP for every agent — keep the keys

Also dual-tracked as a registry catalog for OpenFlow (one-node gallery) and ProjectEverflow (marketplace MCP tab).

PLAN.md · Agent tools · Campaign storyboard · Issues · Apache-2.0

Visual tour

Why it exists

Gateway architecture

Why: every laptop as a secret store vs sealed gateway

Control plane: harnesses → /mcp → remote, sandbox, edge

Admin library

Operators

Admin backends with sealed headers

Operator TUI, CLI, enterprise policy

Screenshots live in docs/images/campaign-*.png. Re-shoot from docs/campaign/ with ./capture.sh.


Related MCP server: Peta Core

Why this exists

Every IDE holding vendor API keys is not a control plane. MCP sprawl with no revoke path is not enterprise policy.

Without a gateway vs mcp-flow controls

You need this when:

  • Platform admins must own the tool library; employees only get a URL + agent key

  • Upstream secrets must stay sealed on the gateway — never in harness config or model context

  • Cursor, Claude, OpenCode, and OpenFlow should share one workspace library

  • Enterprise defaults matter: deny edge-bare, no unrestricted enable-any-URL


Status

Gateway implemented (remote proxy, catalog, edge placements). Agent MCP tools: docs/AGENT-TOOLS.md.

Issue

Topic

#1

Core plan: gateway + catalog + placement

#2

Everflow / OpenFlow catalog consumer contract

#3

Edge agent + multi-device sandbox/bare

Quickstart

Requirements: Node.js ≥ 22.

cp .env.example .env
# set MCP_FLOW_MASTER_KEY and MCP_FLOW_ADMIN_TOKEN
openssl rand -base64 32   # master key
openssl rand -hex 32      # admin token

npm install
npm run build

export $(grep -v '^#' .env | xargs)
npx mcp-flow serve --port 8787

TUI (manage upstream MCPs)

npx mcp-flow tui

Interactive terminal UI: list/add/enable/disable/test/delete backends, seal auth headers, mint/revoke agent API keys. Arrow keys + enter; q quits.

Mint an agent key

npx mcp-flow key create --name cursor
# → { "key": { "token": "mf_…", "prefix": "mf_…", … } }  # secret shown once

Operator key (AI manages the gateway)

Mint a key with scopes.admin so an agent can call mf_admin_* tools on /mcp (and the same token works on /v1/* REST). Env MCP_FLOW_ADMIN_TOKEN remains break-glass for humans/UI.

npx mcp-flow key create --name openflow-ops --admin
# Point the harness at http://127.0.0.1:8787/mcp with that mf_* token.

Examples of operator tools: mf_admin_status, mf_admin_create_backend, mf_admin_create_key, mf_admin_list_audit, mf_admin_catalog_install, devices/policy helpers. Normal agent keys never see these tools.

Prefer operator keys over pasting the env admin token into IDE config (revocable, audited by key id).

Projects (per-chat tool collections)

One agent key can span multiple projects — named sets of backends. Agents switch with MCP tools:

mf_list_projects → mf_use_project({ project: "webdevelopment" }) → tools/list
  • default project is auto-created and gains new backends automatically.

  • mf_use_project binds the chat (session sticky) and returns an optional mf_sess_* session token for project-scoped calls.

  • Admin UI → Projects tab, or GET/POST /v1/projects.

Add a remote MCP (headers sealed)

npx mcp-flow backend add \
  --slug deepwiki \
  --url https://mcp.deepwiki.com/mcp \
  --transport streamable-http \
  --enable

# Multiple sealed headers (repeat --header). Name=value or Name: value:
npx mcp-flow backend add \
  --slug yh-finance \
  --url https://mcp.rapidapi.com \
  --header "x-api-host: yahoo-finance15.p.rapidapi.com" \
  --header "x-api-key: YOUR_RAPIDAPI_KEY" \
  --enable

# Merge more headers later (does not wipe existing):
npx mcp-flow backend headers yh-finance \
  --header "Authorization=Bearer …"

# List header *names* only (values never printed):
npx mcp-flow backend headers yh-finance

You do not need npx mcp-remote … --header in the harness — put the URL + headers on the backend; harnesses only get the mcp-flow URL + agent key.

Point a harness at mcp-flow only

HTTP (Cursor / clients with streamable HTTP):

{
  "mcpServers": {
    "mcp-flow": {
      "url": "http://127.0.0.1:8787/mcp",
      "headers": {
        "Authorization": "Bearer mf_YOUR_AGENT_KEY"
      }
    }
  }
}

Stdio shim:

MCP_FLOW_URL=http://127.0.0.1:8787/mcp MCP_FLOW_API_KEY=mf_… npx mcp-flow stdio

Meta tools: mf_status, mf_list_projects, mf_use_project, mf_current_project, mf_list_backends, mf_list_tools, mf_use_device. Backend tools are {slug}__{tool} and often do not appear in connector listings — docs/AGENT-TOOLS.md.

Docker Compose

docker compose up --build -d
docker compose logs -f bootstrap   # wait until it writes /data/mcp-client.json

Secrets are generated into the mcp-flow-data volume if .env is empty.

MCP (agents)

http://127.0.0.1:8787/mcp (container port 8787, expose only — map a domain in Dokploy/Traefik)

Admin UI

http://127.0.0.1:8787/admin/

Health

http://127.0.0.1:8787/health

Agent key + client JSON

docker compose exec mcp-flow cat /data/mcp-client.json

Admin token

docker compose exec mcp-flow cat /data/admin.token

Point Cursor / Claude / OpenCode at the mcpServers block in that JSON. The compose edge agent starts with the stack (device compose-edge should show online). It includes git, gh, /repos (clone many projects here), and persisted gh login.

Add these in Admin → Backends (placement edge-sandbox, device compose-edge, enable):

Slug

Transport

Command

fs

stdio

mcp-server-filesystem /repos

shell

stdio

shell-mcp

github

stdio

github-mcp

Then from a shell-capable agent: gh auth login (device-code OAuth). After that github__* uses that account. Clone with git clone … /repos/<project>.

Tailnet (Headscale or Tailscale): set TS_AUTHKEY, TS_HOSTNAME, and TS_LOGIN_SERVER in .env. The sidecar starts with the stack (userspace, no TUN — Dokploy-safe) and TCP-forwards :8787 to the gateway. MCP is http://<TS_HOSTNAME>:8787/mcp on the tailnet.

Admin REST

All /v1/* routes require Authorization: Bearer $MCP_FLOW_ADMIN_TOKEN.

Method

Path

Notes

POST

/v1/keys

Mint agent key (token once)

GET

/v1/keys

List keys (no secrets)

DELETE

/v1/keys/:id

Revoke

POST

/v1/backends

Create (GET redacts sealed headers/env)

GET

/v1/backends

List (redacted)

PATCH

/v1/backends/:id

Update / enable

POST

/v1/backends/:id/test

Upstream tools/list smoke

GET/PATCH

/v1/workspace, /v1/workspace/policy

Workspace + edge-bare policy

GET/POST/DELETE

/v1/devices

Edge device enroll / list / revoke

WS

/v1/edge/connect

Edge agent (device token)

GET

/admin/

Operator admin UI

ALL

/mcp

Agent MCP (API key)

Security

  • Upstream headers/env encrypted at rest (AES-256-GCM + MCP_FLOW_MASTER_KEY)

  • Agent keys stored as SHA-256 hashes; plaintext shown once

  • GET payloads never include decrypted secrets

  • SSRF guards on backend URLs (MCP_FLOW_ALLOW_PRIVATE_URLS=true to allow LAN)

  • Placement: remote, central-sandbox, edge-sandbox, edge-bare (bare needs workspace policy)

  • Admin UI at /admin/ (browser holds admin token in sessionStorage)

Placement (P3–P6)

# Central stdio / OCI
npx mcp-flow backend add --slug local --transport stdio \
  --command npx --command -y --command some-mcp --enable
npx mcp-flow backend add --slug boxed --transport oci --image ghcr.io/example/mcp:latest

# Edge device
npx mcp-flow device enroll -n laptop
npx mcp-flow edge --url http://127.0.0.1:8787 --token <device-token>
npx mcp-flow backend add --slug on-laptop --transport stdio \
  --command npx --command -y --command some-mcp \
  --placement edge-sandbox --device-id <dev_id> --enable

# Bare (opt-in)
npx mcp-flow workspace policy --allow-edge-bare true

Catalog install maps npm/pypi/oci packages to central-sandbox when no remote URL.

Catalog (P1b)

npm run catalog:sync          # → catalog/entries/*.json + index.json
npx mcp-flow catalog search github
npx mcp-flow catalog show 'io.github…/name' --pretty
npx mcp-flow catalog enrich 'io.github…/name' --pretty   # README + tools/list
npx mcp-flow catalog install 'io.github…/name' --enable
# factory bulk enrich:
npm run factory:scrape -- --enqueue && npm run factory:worker

Stable allowlist id = registry server.name. Schema: catalog/schema.json (v1.0.0).
Each server is one JSON file under catalog/entries/ (plus slim index.json). See catalog/README.md.

Catalog factory TUI (queue + proxies)

Like ansible-flow-mcp’s Galaxy factory — multi-pane scrape → queue → worker, with SOCKS/HTTP proxy pool:

npm run factory:tui
# headless:
npm run factory:scrape -- --max-pages 5 --enqueue
npm run factory:worker -- --once

See scripts/factory/README.md.

Scopes + audit (P2)

npx mcp-flow key create -n intern --scope-prefix yh-finance__ --scope-prefix mf_
npx mcp-flow key scopes <id> --scope-prefix demo__
npx mcp-flow audit --limit 20
npx mcp-flow doctor

Scoped keys only see/call matching tool name prefixes (mf_status always allowed).

Tool-call audit rows store redacted request arguments and response bodies (size-capped; secrets scrubbed). Treat the SQLite DB as sensitive. Cap via MCP_FLOW_AUDIT_MAX_DETAIL_BYTES.

Development

npm test
npm run typecheck
npm run catalog:validate

# Static catalog site (campaign UI + JSON shards)
SITE_BASE= npm run site:build   # → site/out/ (+ catalog/)
npx serve site/out              # open http://localhost:3000
# Live: https://real-limitless.github.io/mcp-flow/
npm run dev   # tsx src/cli.ts serve

Architecture

AI harnesses  ──HTTP or stdio shim──►  mcp-flow /mcp  (API key)
                                            │
                    ┌───────────────────────┼───────────────────────┐
                    ▼                       ▼                       ▼
              Remote MCPs            Central sandbox           Edge agents
              (P1)                   (P3)                      (P4–P5 / #3)

License

Apache-2.0

Tool Schema Changelog

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

No tool schema history has been recorded yet.

Maintenance

ActivityMaintained
ResponsivenessResponsive

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

  • F
    license
    C
    quality
    D
    maintenance
    A powerful gateway for the Model Context Protocol (MCP) that unifies AI toolchains by federating multiple MCP servers, wrapping REST APIs as MCP tools, and supporting multiple transport methods with an admin dashboard.
    1
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    A production-ready MCP gateway and control plane that provides credential vault, policy engine, audit logging, and managed runtime for routing tool calls between AI agents and downstream MCP servers.
    58
    -
  • A
    license
    Not graded
    quality
    B
    maintenance
    A local-first mission control for AI agent harnesses, providing a unified MCP gateway for shared memory, task queue, and encrypted secrets across multiple agents.
    7
    1
    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/real-limitless/mcp-flow'

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