MCP Collaborative TaskMap

An MCP (Model Context Protocol) server for collaborative task mapping and parallel development orchestration. Optimizes task mapping to maximize parallel execution across multiple AI coding agents working simultaneously on different feature branches.

✨ Key Features

- ⚡ Maximum Parallelization: Task mapping optimized for maximum concurrent agent execution with dependency analysis
- 🤖 Autonomous Task Management: Agents autonomously identify tasks to work on, create their own worktrees, and merge upon completion
- 🔒 Enforced Development Practices: Mandatory refinement, self-review, and other standard developer workflows to ensure code quality

🚀 Quick Start

$3

claude code
``
claude mcp add collaborative-taskmap -s user npx mcp-collaborative-taskmap
`

cursor
`json
{
"mcpServers": {
"collaborative-taskmap": {
"command": "npx",
"args": [
"-y",
"mcp-collaborative-taskmap"
]
}
}
}
`

🎯 What Problem Does This Solve?

When running multiple AI coding agents in parallel (Cursor, Claude Code, GPT-Dev, etc.), developers face:

- Progress Visibility: Hard to track which agent is working on what
- Conflict Prevention: Duplicate implementations and merge conflicts
- Optimal Parallelism: Don't know the ideal number of agents to run simultaneously
- Task Coordination: No central coordination between agents

🛠️ MCP Tools

The server exposes these MCP tools for AI agents:

$3

`
Investigation → InProgress → Review → Done
↓ ↓ ↓
Blocked Blocked Blocked
↓ ↓ ↓
Abandoned Abandoned Abandoned
``

📄 License

MIT License - see LICENSE file for details.