cody-mcp

A Model Context Protocol server for Cody — AI teammates that work inside the tools you already use.

cody-mcp exposes Cody's integration catalog, team-knowledge search and product answers as MCP tools, so any MCP-capable client (Claude Desktop, Claude Code, Cursor, VS Code, custom agents) can call them directly.

Docs and product: https://agentcody.ai

Tools

Every tool returns both human-readable text and a machine-readable structuredContent payload. All three are deterministic and fully offline — no API keys, no network calls, no stubs that throw.

Related MCP server: kb-mcp

Install

npm install -g cody-mcp

Or run it without installing:

npx -y cody-mcp --version

Requires Node.js 18 or newer.

Configure your MCP client

Add the server to your client's MCP configuration.

Claude Desktop (claude_desktop_config.json) / Claude Code (.mcp.json) / Cursor (~/.cursor/mcp.json):

{
  "mcpServers": {
    "cody": {
      "command": "npx",
      "args": ["-y", "cody-mcp"]
    }
  }
}

Restart the client and the three cody-mcp tools become available to the model.

Example

Ask your client:

Use cody-mcp to find out how Cody handles Zendesk ticket triage, then list the support integrations.

The model calls search_team_knowledge with {"query": "zendesk ticket triage"} and list_integrations with {"category": "Support"}, and answers from the structured results.

Development

git clone https://github.com/daolmedo/cody-mcp.git
cd cody-mcp
npm install
npm run build
npm run smoke     # spawns the server over stdio and calls all three tools

The smoke test starts the compiled server as a real MCP stdio process, performs the MCP handshake, lists the tools and invokes each one, asserting structured results come back.

Registry manifest

server.json describes the package in the format MCP registries consume.

License

MIT

Cody — https://agentcody.ai