maverick-mcp-server 0.1.3

Model Context Protocol server for Maverick (exposes the swarm to MCP clients)

maverick-mcp-server

A Model Context Protocol (MCP) server that exposes Maverick's agent loop as a set of MCP tools. Any MCP-compatible client (Claude Code, Claude Desktop, Cursor, etc.) can drive Maverick over stdio JSON-RPC.

Why

Maverick is a swarm of agents with persistent memory, budget caps, and verifier loops. Most MCP clients are single-turn. By plugging Maverick in via MCP, you get:

• A "think hard for an hour" tool from inside Claude Code
• Persistent goals that survive editor restarts
• Per-role model routing controlled by your ~/.maverick/config.toml
• Auto-distilled skills that compound across sessions

Install

pip install -e ./packages/maverick-mcp

Wire into Claude Code

Add to your Claude Code MCP config (typically ~/.config/claude-code/mcp.json or similar):

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

Then restart Claude Code. The Maverick tools should appear under the MCP servers menu.

Tools exposed

Tool	What it does
maverick_start	Start a new goal, run the swarm, return the final answer
maverick_status	List recent goals + open questions
maverick_resume	Resume a paused goal
maverick_answer	Answer a queued question
maverick_skill_install	Install a SKILL.md from URL / gh:org/repo / local path
maverick_skills_list	List installed / distilled skills
maverick_fact_set	Set a fact in the world model
maverick_facts_get	Get all known facts

All calls go through maverick.orchestrator.run_goal -- same Shield chokepoints, same budget caps, same per-role model routing.

Protocol

Minimal JSON-RPC 2.0 over stdio, matching the MCP 2024-11-05 spec (initialize, tools/list, tools/call). No external dependencies. The full mcp Python SDK is an option for a future hardening pass; this hand-rolled version keeps the dependency footprint tiny.