Skip to main content

stdio MCP server for the FCoP Python library: exposes the fcop package's Project, task, report, issue, GAL alert, and audit APIs to MCP clients (Cursor, Claude Desktop, …). Optional bridge, not a second protocol; depends on fcop 3.x, FastMCP, websockets.

Project description

fcop-mcp

mcp-name: io.github.joinwell52-AI/fcop

MCP (stdio) server — the optional IDE bridge for the same FCoP stack. It wraps the official fcop library; it is not a second “FCoP product” and does not replace the protocol text.

  • What FCoP is (protocol only, product-agnostic): docs/getting-started.en.md (中文 getting-started.md)
  • Pure Python lib / pip install fcop: filesystem + Project API, PyYAML only — PyPI fcop (see that package’s description and Documentation).
  • This package (fcop-mcp): pip install fcop-mcp — stdio tools/resources for clients; same repo, folder mcp/.
  • Source home: joinwell52-AI/FCoP

🎯 v3.2.4 — PyPI metadata & bundled protocol fix (2026-05-27). Also: official MCP registry package, docs aligned with FCoP 3.0.
fcop-mcp remains registered as io.github.joinwell52-AI/fcop in the official MCP registry, and is discoverable from Claude Desktop / Cursor / PulseMCP and other MCP-compatible clients (uvx fcop-mcp). This release synchronizes team-template and rule-document references to the v3 _lifecycle/ topology and keeps fcop / fcop-mcp lockstep semantics (ADR-0002).

Upgrading from older lines (0.6.x / 0.7.x / 1.x / 2.x)? See docs/upgrade-fcop-mcp.md — install in the MCP venv (pip install -U fcop fcop-mcp), restart IDE, then run redeploy_rules() once to refresh on-disk rule files.

What can the server actually do? The current surface is 45 MCP tools plus read-only resources; see docs/mcp-tools.md. Authoritative behavior stays in source docstrings (mcp/src/fcop_mcp/server.py).

0.6.3 ships ADR-0006 — host-neutral protocol-rule distribution. New tool fcop_report is now the canonical session/init report (its header carries a [Versions] block that flags drift between the wheel-bundled rules and the project-local .cursor/rules/ copy). New ADMIN-only tool redeploy_rules writes the four protocol-rule targets — .cursor/rules/fcop-rules.mdc, .cursor/rules/fcop-protocol.mdc, AGENTS.md, CLAUDE.md — so Cursor, Claude Code CLI, and Codex CLI all see the same rules. Legacy unbound_report stays as a deprecated alias of fcop_report (emits DeprecationWarning, removed in 0.7.0). See docs/releases/0.6.3.md for the full migration story.

The fcop on PyPI must be the FCoP library (summary mentions File-based Coordination Protocol, pyyaml, no fastmcp inside fcop). If pip show fcop says MCP toolbox or from fcop import Issue fails, you have a wrong distribution — fix with a clean venv and reinstall (see Verify below).


TL;DR — Have an agent install fcop-mcp for you

Don't want to read the rest of this page? Open a fresh chat with any shell-capable AI agent (Cursor with a new tab, Claude Code CLI, Codex CLI…) and paste this prompt verbatim. The agent will detect your OS, install uv, edit your ~/.cursor/mcp.json (preserving every other server you already have), and tell you when to restart.

Install fcop-mcp into Cursor for me — you run the commands end to end.

1. Detect my OS first: in the terminal, run
   `uname -s 2>$null; echo $env:OS` to see whether this is Windows
   or macOS / Linux.

2. Install uv (if not already present). One-liner:
   - Windows PowerShell:
     powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
   - macOS / Linux:
     curl -LsSf https://astral.sh/uv/install.sh | sh
   Then run `uvx --version` to confirm.

3. Add an fcop entry to the global mcp.json. **Preserve** existing
   mcpServers — do not overwrite them.
   - Windows path: %USERPROFILE%\.cursor\mcp.json
   - macOS / Linux path: ~/.cursor/mcp.json
   - Add this snippet inside the mcpServers object:
     "fcop": {
       "command": "uvx",
       "args": ["fcop-mcp"]
     }

4. Print the final mcp.json contents back to me.

5. Remind me to restart Cursor; on first launch fcop-mcp will pull
   dependencies, **wait 30 seconds to 1 minute**, do not close or
   reconnect early.

Report back after each step before moving on. **Do not** auto-init
a project after install — initialization is my (ADMIN's) choice; I
will pick solo / dev-team / custom myself.

中文版本 / Chinese version: see agent-install-prompt.zh.md in the repo, or after install read the MCP resource fcop://prompt/install.

Why the "do not auto-init" line? Initialisation is ADMIN's three-way choice (solo / preset team / custom). 0.6.3 had agents defaulting to init_project(team="dev-team"), which silently overwrote ADMIN's intended Solo flow. 0.6.4 makes the prompt and the fcop_report Phase-1 message say the choice out loud and forbid the agent from picking on ADMIN's behalf.


One-page install (what we recommend for customers)

Goal: a dedicated Python environment for MCP only, so no other project’s .pth or wrong fcop shadows the real library.

A. Recommended: dedicated venv + python -m fcop_mcp

  1. Python 3.10+ on PATH (3.10–3.13 tested in CI; avoid very new 3.14 until CI covers it).
  2. Create a venv (paths are examples — adjust if you like):

Windows (PowerShell)

$v = "$env:USERPROFILE\.cursor\fcop_mcp_venv"
py -3.10 -m venv $v
& "$v\Scripts\pip.exe" install -U pip
& "$v\Scripts\pip.exe" install -U "fcop" "fcop-mcp"

macOS / Linux

VENV="$HOME/.cursor/fcop_mcp_venv"
python3 -m venv "$VENV"
"$VENV/bin/pip" install -U pip
"$VENV/bin/pip" install -U "fcop" "fcop-mcp"
  1. Cursor user config — file:
  • Windows: %USERPROFILE%\.cursor\mcp.json
  • macOS / Linux: ~/.cursor/mcp.json

Add or merge (use the real python path from step 2):

{
  "mcpServers": {
    "fcop": {
      "command": "C:\\Users\\YOUR_USER\\.cursor\\fcop_mcp_venv\\Scripts\\python.exe",
      "args": ["-m", "fcop_mcp"]
    }
  }
}

On macOS, command is like /Users/YOUR_USER/.cursor/fcop_mcp_venv/bin/python.

  1. Fully restart Cursor (or Developer: Reload Window), then open MCP and confirm fcop is connected.

Why this path? uvx (below) is convenient but first run can take a long time to download dependencies; some MCP hosts time out. A fixed venv avoids that and avoids name conflicts with other editable installs of fcop on the same machine.


B. Alternative: uvx fcop-mcp (quickest to try, slower cold start)

{
  "mcpServers": {
    "fcop": {
      "command": "uvx",
      "args": ["fcop-mcp"]
    }
  }
}

Install uv first. First connection may download many wheels — wait for it; don’t spam reconnect. If you see Aborted or timeouts, use A above.


Verify (2 commands)

In the same venv you use for MCP:

python -c "from fcop import Issue, Project; print('fcop OK', Project)"
python -c "from fcop_mcp.server import mcp; print('fcop-mcp OK')"

If the first line fails, fcop is not the FCoP library — uninstall and reinstall in a clean venv (fcop / fcop-mcp from PyPI, same version in lockstep per ADR-0002; e.g. fcop 3.2.x + fcop-mcp 3.2.x).


Claude Desktop

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Use the same command / args as Cursor (either A with your venv python, or B with uvx).


Upgrading from uvx / args: ["fcop"] (0.5.x)

"fcop": { "command": "uvx", "args": ["fcop-mcp"] }

The mcpServers key name can stay "fcop". Full guide:
docs/MIGRATION-0.6.md


Where the server looks for the project

Resolution order (see ADR-0003):

  1. Last set_project_dir in this MCP session
  2. FCOP_PROJECT_DIR
  3. Legacy 0.5.x env var CODEFLOW_PROJECT_DIR (still recognized with a deprecation warning — use FCOP_PROJECT_DIR)
  4. Walk up from cwd for any of these markers (first hit wins):
    • .cursor/rules/fcop-rules.mdc (present after init_* on v3 projects)
    • docs/agents/fcop.json or docs/agents/tasks/ (legacy 0.7.x layout)
  5. Current working directory (last resort)

Write guards additionally accept fcop/fcop.json (v1.0+ / v3 default workspace) or legacy docs/agents/fcop.json. v3 coordination files live under fcop/_lifecycle/; see docs/getting-started.en.md.

To pin a folder in config:

"env": { "FCOP_PROJECT_DIR": "D:/path/to/your/repo" }

Stability (3.x)

Within a single MINOR line (e.g. 3.2.x), MCP tool/resource shapes stay additive-only (stability charter, ADR-0003): no renames, no required-parameter tightening, no resource removal. Patch releases do not break existing tool calls.

fcop and fcop-mcp ship lockstep with the same version number (ADR-0002). Install both together, e.g. pip install -U "fcop>=3.2.5,<3.3" "fcop-mcp>=3.2.5,<3.3". Avoid PyPI 3.2.3 (bad bundled fcop-protocol.mdc encoding).

Upgrading from 0.6.x / 0.7.x / 1.x / 2.x? See docs/upgrade-fcop-mcp.md and the release notes under docs/releases/. v3.0.0 introduced the _lifecycle/ topology — run fcop_audit(scope="upgrade") then migrate_to_v3() on unmigrated v2 workspaces.


License

MIT — see LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fcop_mcp-3.2.5.tar.gz (62.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fcop_mcp-3.2.5-py3-none-any.whl (67.1 kB view details)

Uploaded Python 3

File details

Details for the file fcop_mcp-3.2.5.tar.gz.

File metadata

  • Download URL: fcop_mcp-3.2.5.tar.gz
  • Upload date:
  • Size: 62.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for fcop_mcp-3.2.5.tar.gz
Algorithm Hash digest
SHA256 dff915e6d16e8e0dd7f64905c0d1065fde24b3941eb343ddba1d44fc5f4a1328
MD5 0ca70b596adc4fba173392c01eae8dd3
BLAKE2b-256 ad2f6ad720d5ff66d3880215f5e2ebc9e8738fbd2315ba0823efc0c2f47d67ba

See more details on using hashes here.

File details

Details for the file fcop_mcp-3.2.5-py3-none-any.whl.

File metadata

  • Download URL: fcop_mcp-3.2.5-py3-none-any.whl
  • Upload date:
  • Size: 67.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for fcop_mcp-3.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 f8e0e1f89f20159be1e405157158c3115cbca875774c7821c5726e115af4ef87
MD5 10e3a7a0c31a9bbdd8ab891ff9493df6
BLAKE2b-256 19b24dad01fee5029316e549b1e642b3cc784584c38d83b2156e3466e8cf6230

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page