ProofHub MCP Server

ProofHub MCP Server

Enables AI assistants to fetch ProofHub task details, comments, and bug tracker links from a URL, streamlining development workflows.

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README

๐Ÿ”Œ ProofHub MCP Server

npm version License: MIT MCP

A Model Context Protocol (MCP) server that bridges ProofHub's project management capabilities with AI assistants like Claude, GitHub Copilot, and Cursor. Paste a ProofHub task URL in your AI chat, and the agent automatically fetches task details, comments, and bug tracker links to help you complete development tasks faster.

๐ŸŽฏ What This Solves

As a developer working with ProofHub for task management, you normally have to:

  1. Open ProofHub in a browser
  2. Navigate to the task
  3. Read the description and all comments
  4. Copy relevant bug tracker links (Jira, Linear, GitHub Issues, etc.)
  5. Context-switch back to your code editor

With this MCP server, simply paste the ProofHub URL into your AI assistant, and it automatically:

  • โœ… Fetches the complete task description
  • โœ… Retrieves all comments and history
  • โœ… Extracts bug tracker links from anywhere in the task
  • โœ… Provides structured context for the AI to help you code

โšก Features

  • ๐Ÿ”’ Secure: API key stored in environment variables, never in code
  • โฑ๏ธ Rate Limit Handling: Automatically respects ProofHub's 25 req/10s limit with retry logic
  • ๐Ÿงน HTML Cleanup: Strips HTML tags from descriptions/comments for clean AI consumption
  • ๐Ÿ”— Smart Link Extraction: Regex patterns detect bug tracker URLs across all text fields
  • ๐ŸŽฏ One-Shot Tool: get_task_with_bug_links fetches everything in a single call
  • ๐Ÿ›ก๏ธ Error Handling: Graceful error messages with API status codes

๐Ÿš€ Quick Start

1. Installation

npm install

2. Configuration

Create a .env file (use .env.example as template):

PROOFHUB_API_KEY=your_api_key_here
PROOFHUB_API_BASE=https://company.proofhub.com/api/v3

Getting your API key: Log in to ProofHub โ†’ Account Settings โ†’ Apps & Integrations โ†’ API โ†’ Generate new API key

3. Connect to Your AI Assistant

๐Ÿค– Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "proofhub": {
      "command": "node",
      "args": ["/absolute/path/to/proofhub-mcp/index.js"],
      "env": {
        "PROOFHUB_API_KEY": "your_key_here"
      }
    }
  }
}

Config location:

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

๐Ÿ’ป VS Code Copilot

Add to .vscode/mcp.json in your workspace or user settings:

{
  "servers": {
    "proofhub": {
      "type": "stdio",
      "command": "node",
      "args": ["/absolute/path/to/proofhub-mcp/index.js"],
      "env": {
        "PROOFHUB_API_KEY": "your_key_here"
      }
    }
  }
}

๐Ÿ“‹ Available Tools

Tool Description Use Case
proofhub_parse_url Extracts project/list/task IDs from a ProofHub URL Parse URL before calling other tools
proofhub_get_task Fetches complete task details (title, description, stage, custom fields, assignees) Get full task context
proofhub_get_comments Retrieves all task comments with timestamps Review team discussions
proofhub_get_task_with_bug_links โญ One-shot: Fetches task + comments + auto-extracts bug tracker URLs Most useful - get everything in one call
proofhub_create_comment Posts a new comment on a task Update task from your AI chat
proofhub_get_task_history Fetches activity/stage change history Track task evolution

๐Ÿ’ก Usage Examples

Example 1: Fetch Task Context

Simply paste a ProofHub URL in your AI chat:

Get context for this task:
https://kpi.proofhub.com/bappswift/#app/todos/project-7189443252/list-270280503800/task-514774338823

The AI will call proofhub_get_task_with_bug_links and return:

  • Task title and description
  • All comments (cleaned from HTML)
  • List of bug tracker links found
  • Stage, assignees, and custom fields

Example 2: Development Workflow

I need to work on this ProofHub task:
https://kpi.proofhub.com/.../task-514774338823

Fetch the task, find any Jira links, and help me understand what needs to be built.

The AI will:

  1. Fetch the complete task context
  2. Extract Jira/GitHub/Linear links
  3. Use your bug tracker MCP to fetch issue details
  4. Provide a comprehensive development plan

Example 3: Update Task

Add a comment to task 514774338823 in project 7189443252, list 270280503800:
"Completed the API endpoint implementation. Ready for review."

๐Ÿค Contributing

Contributions welcome! Fork the repo, make your changes, and submit a pull request.

References

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