Plane MCP Server

What is Plane MCP Server about?

Plane MCP Server provides a set of tools that let large language models directly manage projects and issues in Plane.so through its API. By exposing operations such as listing projects, fetching project details, creating issues, listing and filtering issues, retrieving issue details, and updating issues, the server enables seamless integration of LLMs into project‑management workflows.

How to use Plane MCP Server?

1. Installation – The quickest method is via Smithery:

   npx -y @smithery/cli install @kelvin6365/plane-mcp-server --client claude
   

   For manual setup, clone the repo, run npm install, and build with npm run build.

2. Configuration – Add the server to Claude (or another supported client) configuration:

   {
     "mcpServers": {
       "plane": {
         "command": "node",
         "args": ["path/to/plane-mcp-server/build/index.js"],
         "env": {
           "PLANE_API_KEY": "your_plane_api_key_here",
           "PLANE_WORKSPACE_SLUG": "your_workspace_slug_here"
         }
       }
     }
   }
   

   Restart the client after saving.

3. Invocation – Use the defined tools (list-projects, get-project, create-issue, list-issues, get-issue, update-issue) within prompts. The client will call the server, which forwards the request to Plane.so and returns the result.

Key Features of Plane MCP Server

• Project listing – Retrieve all projects in a workspace.
• Project detail – Get comprehensive information for a specific project.
• Issue creation – Create new issues with title, HTML description, priority, state, and assignees.
• Issue querying – List and filter issues by state, priority, assignee, and limit.
• Issue detail – Fetch full data for an individual issue.
• Issue updating – Modify title, description, priority, state, and assignees of existing issues.
• Environment‑driven security – API key and workspace slug are supplied via env variables, never hard‑coded.
• Client‑agnostic – Works with Claude, Cursor, and other supported MCP clients.

Use Cases of Plane MCP Server

• Automated ticket triage – An LLM can scan inbound messages, decide on priority, and auto‑create issues in the appropriate Plane project.
• Progress reporting – LLMs can generate status summaries by fetching issue data and presenting it in natural language.
• Workflow orchestration – Combine with other MCP servers to build end‑to‑end pipelines (e.g., code review → issue creation → sprint planning).
• Interactive project assistance – Users can ask an LLM to list high‑priority bugs, assign owners, or update issue states directly from chat.

FAQ from the Plane MCP Server

Q: Which Node.js version is required? A: Node.js 22.x or newer.

Q: How are credentials protected? A: The API key and workspace slug are supplied as environment variables; never commit them to the repository.

Q: Can I customize the tool names? A: Tool names use hyphens (e.g., list-projects). Underscores are automatically converted, but the canonical names are hyphenated.

Q: What clients are supported? A: Claude for Desktop, Cursor, WindSurf, EnConvo, Witsy, and others listed in the Smithery install command.

Q: How do I test the server locally? A: Run npx @modelcontextprotocol/inspector node dist/index.js after building.

Plane MCP Server

A Model Context Protocol (MCP) server that enables LLMs to interact with Plane.so, allowing them to manage projects and issues through Plane's API. Using this server, LLMs like Claude can directly interact with your project management workflows while maintaining user control and security.

Features

• List all projects in your Plane workspace
• Get detailed information about specific projects
• Create new issues with customizable properties
• List and filter issues from projects
• Get detailed information about specific issues
• Update existing issues with new information

Prerequisites

• Node.js 22.x or higher
• A Plane.so API key
• A Plane.so workspace

Installation

Option 1: Using Smithery

The quickest way to get started is to use Smithery to install the server directly:

# Install to Claude for Desktop
npx -y @smithery/cli install @kelvin6365/plane-mcp-server --client claude

This command will automatically set up the Plane MCP Server for use with Claude. After installation, you'll need to configure the server with your Plane API key and workspace slug through the Claude settings.

Valid client options are: claude, cline, windsurf, roo-cline, witsy, enconvo, cursor

Example for installing with Cursor:

npx -y @smithery/cli install @kelvin6365/plane-mcp-server --client cursor

Option 2: Manual Setup

If you prefer to set up the server manually, follow these steps:

1. Clone this repository:

git clone https://github.com/kelvin6365/plane-mcp-server.git
cd plane-mcp-server

2. Install dependencies:

npm install

3. Build the server:

npm run build

Usage with Claude for Desktop

Note: If you used Option 1 (Smithery) above, you can skip this section. Smithery automatically configures the MCP server for you.

1. Open your Claude for Desktop configuration file:

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

2. Add the Plane MCP server configuration:

{
  "mcpServers": {
    "plane": {
      "command": "node",
      "args": ["path/to/plane-mcp-server/build/index.js"],
      "env": {
        "PLANE_API_KEY": "your_plane_api_key_here",
        "PLANE_WORKSPACE_SLUG": "your_workspace_slug_here"
      }
    }
  }
}

3. Restart Claude for Desktop

Available Tools

Note: Tool names use hyphens (e.g., list-projects), not underscores. The server will automatically convert underscores to hyphens for compatibility.

list-projects

Lists all projects in your Plane workspace.

Parameters: None

Example:

{}

get-project

Gets detailed information about a specific project.

Parameters:

• project_id: ID of the project to retrieve

Example:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef"
}

create-issue

Creates a new issue in a specified project.

Parameters:

• project_id: ID of the project where the issue should be created
• name: Title of the issue
• description_html: HTML description of the issue (required by Plane API)
• priority (optional): Priority of the issue ("urgent", "high", "medium", "low", "none")
• state_id (optional): ID of the state for this issue
• assignees (optional): Array of user IDs to assign to this issue

Note: The assignees parameter must be an array of user ID strings. Common errors include providing a dictionary/object instead of an array, or accidentally nesting the entire issue data inside the assignees field. The server will attempt to handle these cases, but it's best to use the correct format.

Example:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef",
  "name": "Implement new feature",
  "description_html": "<p>We need to implement the new reporting feature</p>",
  "priority": "high",
  "assignees": ["user-id-1", "user-id-2"]
}

list-issues

Lists issues from a specified project with optional filtering.

Parameters:

• project_id: ID of the project to get issues from
• state_id (optional): Filter by state ID
• priority (optional): Filter by priority
• assignee_id (optional): Filter by assignee ID
• limit (optional): Maximum number of issues to return (default: 50)

Example:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef",
  "priority": "high",
  "limit": 10
}

get-issue

Gets detailed information about a specific issue.

Parameters:

• project_id: ID of the project containing the issue
• issue_id: ID of the issue to retrieve

Example:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef",
  "issue_id": "01def456-7890-12gh-3456-789ijklmnopq"
}

update-issue

Updates an existing issue in a project.

Parameters:

• project_id: ID of the project containing the issue
• issue_id: ID of the issue to update
• name (optional): Updated title of the issue
• description_html (optional): HTML description of the issue (required by Plane API)
• priority (optional): Updated priority of the issue
• state_id (optional): Updated state ID of the issue
• assignees (optional): Updated array of user IDs to assign to this issue

Note: The assignees parameter must be an array of user ID strings, following the same format guidelines as the create-issue tool.

Example:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef",
  "issue_id": "01def456-7890-12gh-3456-789ijklmnopq",
  "priority": "urgent",
  "description_html": "<p>Updated description with <strong>more details</strong></p>"
}

Development

1. Install development dependencies:

npm install --save-dev typescript @types/node

2. Start the server in development mode:

npm run dev

Testing

You can test the server using the MCP Inspector:

npx @modelcontextprotocol/inspector node dist/index.js

Examples

Here are some example interactions you can try with Claude after setting up the Plane MCP server:

1. "Can you list all the projects in my Plane workspace?"
2. "Please create a new high-priority issue in the Marketing project titled 'Update social media strategy'"
3. "What are all the high-priority issues in the Development project?"
4. "Update issue #123 in the QA project to change its priority to urgent"

Claude will use the appropriate tools to interact with Plane while asking for your approval before creating or modifying any issues.

Security Considerations

• The API key requires proper Plane permissions to function
• All operations that modify data require explicit user approval
• Environment variables should be properly secured
• API keys should never be committed to version control

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

If you encounter any issues or have questions:

1. Check the GitHub Issues section
2. Consult the MCP documentation at modelcontextprotocol.io
3. Open a new issue with detailed reproduction steps

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