Crew

Verified Integration

Author: @spawning•Category: ServerApplication

GitHub Repository

JSON-RPC 2.0

Protocol Standard

Sub-second

Execution Latency

Active

Operational Status

Client Configuration

— Connect Crew to Claude Desktop or Cursor in seconds

{
  "mcpServers": {
    "crew": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-crew"
      ],
      "env": {}
    }
  }
}

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Architecture & Capabilities

System Overview

Defines professional AI skills using Markdown and YAML, loading them into AI IDEs like Claude Code and Cursor via the Model Context Protocol (MCP).

Indexed Date

7/22/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Crew

Yes, Crew supports defining custom AI skills using Markdown and YAML, with a flexible 4-layer discovery mechanism that prioritizes project-specific skills over global and built-in ones.

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