@Penqwin/

An AST-based Model Context Protocol (MCP) server that provides token-efficient codebase skeletons to LLM agents (like Cursor, Claude Desktop, and Antigravity).

Instead of sending full raw source code files to the LLM, this server exposes structural "skeletons" (imports, exports, signatures, and JSDoc comments) of files and directories. This reduces token context sizes by 80% to 95% during codebase exploration and navigation.

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Features & Tools

The server registers 5 core tools with the MCP protocol:

Tool Name	Description
get_repo_index	Returns a compact Table of Contents of the repository (all files + top-level exported names). ~10–20 tokens/file.
get_folder_skeleton	Retrieves structural skeletons for all files matching a directory/folder prefix.
get_file_skeleton	Retrieves the detailed structural skeleton (signatures, types, methods, parameters, and JSDocs) of a single file.
search_symbols	Queries the AST index to find files that export a specific class, function, struct, or type.
get_repo_stats	Returns aggregate statistics of the repository, including file counts and language breakdown.

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Configuration

The MCP server is configured entirely via environment variables.

Environment Variable	Description	Example
PENQWIN_API_KEY	Machine-to-machine API key generated from the DB	ed_live_0e21cf14...
PENQWIN_ORG_ID	The organization ID associated with the API key	0db9f7b5-7206-...
PENQWIN_REPO	The repository owner and name to target	<org_name>/<repo_name>
PENQWIN_API_URL	The REST API gateway URL of the penqwin backend	http://app.penqwin.com

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IDE Integrations

You can integrate this MCP server with your favorite IDE using either npx (highly recommended for end-users, as it doesn't require cloning/building) or by pointing to your local build.

1. Direct Integration (via npm/npx)

This is the easiest setup for users. The IDE will automatically fetch and run the latest version of the package.

Cursor

Go to Cursor Settings -> Features -> MCP, and click + Add New MCP Server:

• Name: penqwin
• Type: command
• Command: npx -y @penqwin/mcp
• Add the required environment variables under the env settings.

Antigravity / Gemini Code Assistant

Add this to your mcp_config.json:

{
  "mcpServers": {
    "penqwin": {
      "command": "npx",
      "args": ["-y", "@penqwin/mcp"],
      "env": {
        "PENQWIN_API_KEY": "your_api_key",
        "PENQWIN_ORG_ID": "your_org_id",
        "PENQWIN_REPO": "your_repo",
        "PENQWIN_API_URL": "https://app.penqwin.com"
      }
    }
  }
}

Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "penqwin": {
      "command": "npx",
      "args": ["-y", "@penqwin/mcp"],
      "env": {
        "PENQWIN_API_KEY": "your_api_key",
        "PENQWIN_ORG_ID": "your_org_id",
        "PENQWIN_REPO": "your_repo",
        "PENQWIN_API_URL": "https://app.penqwin.com"
      }
    }
  }
}

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2. Local Source Integration

If you have cloned the repository locally and compiled it:

Cursor

• Command: node d:/Projects/EngDoc/eng-doc-mcp/dist/index.js (Use forward slashes for Windows paths)

Antigravity / Claude Desktop

• Command: node
• Args: ["d:/Projects/EngDoc/eng-doc-mcp/dist/index.js"]

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Learn more:

• Penqwin MCP
• MCP Protocol
• Model Context Protocol - Wikipedia