Plane MCP

Name: Plane MCP
Author: Plane

by Plane

Open-source project tracking and issue management via AI assistants

productivity Python Beginner Self-hostable Verified

⭐ 200 stars 📅 Updated: 1mo ago

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Description

Official Plane MCP server for full project automation. Manage issues, cycles, modules, and project settings through AI assistants using natural language. Plane is an open-source project tracking tool often used as a Jira alternative, and this server exposes its complete API for AI-driven workflows. Create and assign issues, plan sprint cycles, organize work into modules, and query project data — all without leaving your editor.

✅ Best for

Teams using Plane who want AI-powered issue tracking and sprint planning

⏭️ Skip if

You use a different project management tool like Jira, Linear, or Asana

💡 Use cases

Creating and managing issues in Plane from AI coding assistants
Planning and tracking sprint cycles via natural language commands
Organizing work into modules and tracking cross-module dependencies
Querying project status and generating progress reports

👍 Pros

✓ Full access to issues, cycles, modules, and project settings
✓ Open-source project — self-hostable with full data control
✓ Official server from the Plane team with active maintenance
✓ Python-based with pip/uvx install for easy setup

👎 Cons

✗ Python runtime required — heavier than Node-based alternatives
✗ Requires a running Plane instance (cloud or self-hosted)
✗ Smaller ecosystem compared to Jira or Linear MCP servers

🔧 Exposed tools (6 tools)

Tool	Category	Description
manage_cycles	management	List, create, and manage sprint cycles
manage_modules	management	Organize and manage project modules
list_issues	read	List issues in a Plane project with filters
list_projects	read	List all projects in the Plane workspace
create_issue	write	Create a new issue in a Plane project
update_issue	write	Update an existing issue's properties or status

⚡ Installation

Prerequisites:

• python v3.10+
• Plane API key
• API key required

Check Claude Code documentation to configure this MCP server.

💡 Tips & tricks

Install via uvx for isolated environments or pip for global installs. Set your Plane API key and workspace URL as environment variables before starting the server.

🔄 Alternatives

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