plane-mcp

README

plane-mcp

A custom Go-native Model Context Protocol (MCP) server that integrates directly with the Plane.so REST API. It exposes clean, token-efficient, name-resolved tools to AI agents for automated task tracking, progress reporting, and workspace planning.

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🎯 Features & Scope

• Stdio Transport: Communicates natively over standard I/O (stdio) to plug into Claude Desktop or container runtimes.
• Tool Scoping Profiles: Restricts the exposed tool surface dynamically via PLANE_MCP_PROFILE=worker|planner|full (e.g., preventing worker agents from calling destructive or planning tools).
• Token-Efficient Payload Serialization: Serializes work items into compact formats, resolves UUID-valued fields (states, assignees, labels) to human-readable names, converts description HTML to Markdown, and strips nulls to optimize LLM context usage.
• Tier-1 Semantic Tools: High-level, developer-oriented operations:
  • find_my_work: Lists items assigned to the current caller.
  • get_work_item: Fetches detail/summary view of a ticket.
  • report_progress: Appends comments and transitions states safely in a single action.
  • submit_for_review: Attaches PR links and flags tickets for review.
  • create_task: Resolves labels/assignees by name and registers new tasks.
• Tier-2 CRUD Tools (Gated): Low-level operations (update_work_item, comment lists, link creation) registered only under the planner or full profiles.
• Off-Network Tunnel Ingress: Supports Cloudflare Access service tokens via headers to route requests securely to local/private Plane deployments.

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🛠️ Tech Stack & Architecture

• Runtime/Language: Go 1.26
• Transport: Model Context Protocol Go SDK (stdio)
• Build Packaging: Multi-stage distroless scratch builds (gcr.io/distroless/static-debian12)
• CI/CD: Automatic linting/testing via GitHub Actions, and container publication to GHCR via OIDC.

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🚀 Getting Started

Prerequisites

• Go 1.26+ installed on host
• A Plane.so workspace with a Personal Access Token (PLANE_API_KEY)

Local Setup

1. Navigate to the repository directory:

   cd plane-mcp
   

2. Configure local environment variables:

   # Create a local .env configuration file
   export PLANE_API_KEY="your-plane-api-key"
   export PLANE_BASE_URL="http://192.168.86.32:3355" # or https://plane.figgy.cloud
   export PLANE_WORKSPACE_SLUG="itsjennyfiggy"
   export PLANE_MCP_PROFILE="full"
   

3. Install dependencies:

   go mod download
   

4. Run the application locally:

   go run ./cmd/app
   

Running Tests

To run the local unit test suite and verify code coverage:

go test -v -race -cover ./...

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🤖 AI Agent Guidelines

If you are an AI coding agent working in this repository:

1. Always audit the local .agents/rules/ directory before making changes.
2. Adhere strictly to .agents/rules/git_safety.md to prevent secrets exposure.
3. Prior to presenting work or opening a PR, ensure all test suites pass and coverage gates are met (refer to .agents/rules/testing_standards.md).
4. Follow the standard branching and PR lifecycle detailed in .agents/workflows/git-workflow.md.