clade-mcp

MCP server that exposes 29 AI coding skills as callable tools — autonomous commits, goal-driven loops, code reviews, incident response, security audits, and more.

Part of the Clade autonomous coding framework.

Quick Start

With Claude Desktop / Claude Code

Add to your MCP configuration:

{
  "mcpServers": {
    "clade": {
      "command": "uvx",
      "args": ["clade-mcp"]
    }
  }
}

With Cursor / Windsurf / other MCP clients

{
  "mcpServers": {
    "clade": {
      "command": "clade-mcp"
    }
  }
}

Install manually

pip install clade-mcp
clade-mcp  # starts the MCP server (stdio transport)

Prerequisites

• Python 3.10+
• Claude Code CLI installed and in PATH (install guide)
  • Skills execute via claude -p, so the CLI must be available

Available Skills (29)

How It Works

1. On startup, the server loads all bundled skill definitions
2. Each skill is registered as an MCP tool with auto-generated JSON Schema
3. When a tool is called, the skill prompt is executed via claude -p in your project directory
4. Results are returned through the MCP protocol

Skills from ~/.claude/skills/ (installed via Clade's install.sh) are also loaded and merged.

Full Clade Framework

This MCP server is one part of Clade. The full framework includes:

• 22 hooks — safety guardian, correction learning, type-checking, session context
• 30 scripts — committer, loop-runner, parallel task execution, health scanning
• 5 agents — code-reviewer, test-runner, type-checker, paper-reviewer, verify-app
• Orchestrator — FastAPI web UI with task queue, worker pool, GitHub sync

Install the full framework:

git clone https://github.com/shenxingy/clade.git
cd clade && ./install.sh

License

MIT