plane-selfhost-mcp

plane-selfhost-mcp

Enables interaction with self-hosted Plane project management instances using X-API-Key authentication, offering tools for project discovery, issue management, and workflow state operations.

Category
Visit Server

README

plane-selfhost-mcp

Custom MCP server for self-hosted Plane instances that require X-API-Key authentication instead of Authorization: Bearer.

This project exists because the official Plane MCP flow did not work reliably against this self-hosted environment. This server talks directly to the Plane REST API, exposes a small focused MCP toolset, and is designed to be consumed from OpenCode.

What this project does

  • Connects to a self-hosted Plane workspace with X-API-Key
  • Exposes Plane operations as MCP tools over stdio
  • Supports project discovery, issue listing, issue creation, issue updates, comments, and workflow state lookup
  • Works with OpenCode through a local MCP server entry such as plane-selfhost

Why it was created

The official Plane MCP server uses Authorization: Bearer <token>. In this self-hosted setup that produced auth failures, while direct API calls with X-API-Key worked correctly.

So the right move was NOT to keep fighting the wrong auth model. The right move was to build a thin MCP wrapper around the API behavior that the real instance actually accepts.

Quick start

Requirements

  • Python 3.10+
  • A reachable self-hosted Plane instance
  • A Plane API key with workspace access
  • The Plane workspace slug

Install

cd plane-selfhost-mcp
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

Configure environment

Preferred path: copy .env.example to a project-root .env file so OpenCode and local commands can share one source of truth.

cp .env.example .env

Then edit .env with your real values.

At startup the MCP loads .env automatically, then reads the real process environment on top of it. That means explicit environment variables still win when you need a one-off override.

If you prefer, you can still export the variables directly instead of using .env.

The server fails fast with a clear error if any required variable is missing from both sources.

Run locally

stdio mode

source .venv/bin/activate
python -m plane_selfhost_mcp

Installed script

source .venv/bin/activate
plane-selfhost-mcp

Makefile shortcuts

After installing the package, you can use the local Makefile instead of manually activating the virtual environment:

make help             # list available targets
make install          # install the package and dev dependencies in .venv
make run              # run the MCP server (sources .env automatically if present)
make smoke-test       # verify config loads (sources .env automatically if present)
make whoami           # print the authenticated Plane user (sources .env automatically if present)
make list-projects    # list workspace projects (sources .env automatically if present)
make list-states      # list workflow states for a project (requires PROJECT_ID=...)
make create-test-issue # create a test issue in a project (requires PROJECT_ID=... TITLE=...)
make move-issue       # move an issue to a target state (requires PROJECT_ID=... ISSUE_ID=... STATE_ID=...)
make comment          # add an HTML/plain comment to an issue (requires PROJECT_ID=... ISSUE_ID=... COMMENT="...")
make test             # run pytest

Free-form values such as TITLE and COMMENT are passed to the inline Python scripts through environment variables, so quotes and special characters do not break the command.

make run, make smoke-test, make whoami, make list-projects, make list-states, make create-test-issue, make move-issue, and make comment will source a .env file in the project root if one exists, so you do not need to export variables manually every time.

OpenCode integration

Add this MCP server to your OpenCode config:

{
  "mcp": {
    "plane-selfhost": {
      "type": "local",
      "enabled": true,
      "command": [
        "/absolute/path/to/plane-selfhost-mcp/.venv/bin/python",
        "-m",
        "plane_selfhost_mcp"
      ]
    }
  }
}

Recommended setup for OpenCode: keep Plane credentials in the repo's .env file and let the MCP load them automatically at startup.

Use the MCP env block only when you intentionally want OpenCode to override the .env values for that process.

Replace /absolute/path/to/plane-selfhost-mcp/.venv/bin/python with the Python executable from your own local virtual environment.

After updating OpenCode config, restart OpenCode. MCP config is not hot-reloaded.

Available tools

Tool What it does Typical use
get_user_me Returns the authenticated Plane user Verify auth/config works
list_projects Lists projects in the configured workspace Resolve a target project before issue work
list_project_issues Lists issues for a project Find an issue before updating it
create_issue Creates a new issue Add a task/bug/story in Plane
update_issue Updates issue fields Move states, rename, reprioritize, assign
add_issue_comment Adds an HTML comment to an issue Leave progress notes or audit comments
list_states Lists workflow states for a project Resolve initial/done state IDs before transitions

How the MCP should be used

This MCP is intentionally simple. The safest usage flow is:

  1. Call get_user_me to prove the connection.
  2. Call list_projects to resolve the target project_id.
  3. If the action depends on workflow placement, call list_states.
  4. Create or update issues only after resolving IDs from live responses.
  5. Treat responses as successful only when the MCP payload returns ok: true.

Important operational rules

  • Do not invent project_id, issue_id, or state values.
  • Use description_html and comment_html for rich text fields.
  • Self-hosted Plane in this setup expects X-API-Key, not bearer auth.
  • If auth fails, debug credentials first; do not assume the API path is wrong.

Shared OpenCode skill

This repository includes a shared plane-mcp skill artifact that another user can copy into their own OpenCode skills setup.

  • Skill location in this repository: skills/plane-mcp/SKILL.md

The repository does not auto-register that skill for anyone. OpenCode will only use it after each user copies or registers it in their own local OpenCode configuration.

Skill purpose

The plane-mcp skill exists so agents follow the correct operational contract every time instead of improvising.

It teaches the agent to:

  • target the custom plane-selfhost-mcp
  • verify config and auth first
  • resolve IDs from live Plane responses
  • use list_states before state transitions
  • stop and surface errors when the MCP payload returns ok: false

How another user can use it

  1. Clone this repository and install the MCP package.
  2. Configure the repository root .env file with real Plane credentials.
  3. Add the MCP server entry shown in OpenCode integration to your own OpenCode config.
  4. Copy skills/plane-mcp/SKILL.md into your own OpenCode skills directory, or register it from your own OpenCode setup.
  5. Restart OpenCode after registering the skill.

The .env-first recommendation stays the same: keep credentials in the repository root .env file by default, and use the MCP env block only for intentional per-process overrides.

Verification and smoke tests

Config loader only

source .venv/bin/activate
python -c "from plane_selfhost_mcp.config import load_config; print(load_config())"

Real API check

source .venv/bin/activate
python -c "
import asyncio
from plane_selfhost_mcp.config import load_config
from plane_selfhost_mcp.client import PlaneClient

async def main():
    cfg = load_config()
    client = PlaneClient(cfg)
    try:
        print('ME:', await client.get_user_me())
        print('PROJECTS:', await client.list_projects())
    finally:
        await client.close()

asyncio.run(main())
"

Expected result:

  • get_user_me returns the authenticated user
  • list_projects returns workspace projects

Development

Run tests

make test

Or, with the virtual environment activated:

pytest

Package facts

Topic Value
Python >=3.10
Entry point plane-selfhost-mcp = plane_selfhost_mcp.server:main
Runtime deps httpx, mcp, pydantic
Test deps pytest, pytest-asyncio, respx

Project structure

src/plane_selfhost_mcp/
├── client.py      # Plane REST client
├── config.py      # env loading and validation
├── server.py      # MCP tool registration and stdio server
└── __main__.py    # python -m entrypoint
tests/
└── test_client.py # HTTP client tests

Troubleshooting

Missing environment variables

If you see a runtime error about missing PLANE_BASE_URL, PLANE_API_KEY, or PLANE_WORKSPACE_SLUG, check the project-root .env file first, then check whether the MCP process is receiving any explicit env overrides.

401 Unauthorized

Plane received no credentials. Check whether .env exists in the project root, then check whether the MCP env block is actually being passed.

403 Forbidden

The credential reached Plane but the API key is invalid or lacks access.

Project not found

Verify the workspace slug and call list_projects before attempting issue operations.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured