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sarinmsari

@penqwin/mcp

by sarinmsari

@penqwin/mcp

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.


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.


Related MCP server: parecode

Requirements

  • Node.js (v18+)

  • An active eng-doc backend server (running locally or in production)

  • A valid API key generated from the eng-doc platform


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

0db9f7b5-7206-4f4e-a61b-509d2a0b0a09

PENQWIN_REPO

The repository owner and name to target

sarinmsari/daily-astrology

PENQWIN_API_URL

The REST API gateway URL of the eng-doc backend

http://localhost:3000 (or production URL)


Setup & Running

1. Install Dependencies

npm install

2. Build the Server

The project uses tsup to bundle the TypeScript code into a single executable bundle:

npm run build

This generates dist/index.js.

3. Run Locally (via Stdio)

To test the server on the command line:

# PowerShell
$env:PENQWIN_API_KEY="your_key"
$env:PENQWIN_ORG_ID="your_org"
$env:PENQWIN_REPO="your_repo"
$env:PENQWIN_API_URL="http://localhost:3000"
node dist/index.js

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"
      }
    }
  }
}

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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