clade-mcp 0.1.0

MCP server exposing 29 AI coding skills — autonomous commits, loops, reviews, incident response, and more

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)

Skill	Description
commit	Analyze changes, split into logical commits by module, push
loop	Goal-driven autonomous improvement loop (Blueprint architecture)
review	Coverage-driven review — test all VERIFY.md checkpoints
review-pr	AI-powered PR code review with structured feedback
investigate	Root cause analysis — no fix without confirmed hypothesis
incident	Incident response — diagnose, postmortem, follow-up tasks
cso	Security audit (OWASP + STRIDE)
map	Generate ARCHITECTURE.md with Mermaid diagrams
research	Deep research on a topic with web search
batch-tasks	Execute TODO steps via unattended sessions
handoff	Save session state for context relay between agents
pickup	Resume from a previous handoff
start	Autonomous session launcher
verify	Verify project behavior anchors (compile, test, lint)
sync	End-of-session doc sync (TODO.md, PROGRESS.md)
document-release	Post-ship documentation sync
brief	Morning briefing — overnight activity, costs, next steps
retro	Engineering retrospective from git history
next	Multi-angle "what's next?" priority session
orchestrate	Decompose goals into tasks for worker execution
frontend-design	Create production-grade frontend interfaces
audit	Audit correction rules for promotion/cleanup
merge-pr	Squash-merge PR and clean up branch
worktree	Create git worktrees for parallel sessions
pipeline	Check health of background pipelines
provider	Switch LLM provider
slt	Toggle statusline display mode
model-research	Research latest Claude models
minimax-usage	Check API usage quota

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