Gemini Agent MCP Server

This server provides a Model Context Protocol (MCP) interface to the Gemini CLI. It allows AI agents and other systems to call the Gemini model and other tools by interacting with a standardized JSON-RPC endpoint.

Setup

1. Install Dependencies:

   pip install -r requirements.txt

2. Install Linters (for

   • For Python linting, pylint is installed with the requirements.

   • For JavaScript linting, you need to have eslint installed and available in your system's PATH. You can typically install it using npm:

     npm install -g eslint

3. Set Environment Variables:

   • Ensure you are logged in to Gemini CLI: Make sure you have the Gemini CLI installed and you are logged in. The server uses the Gemini CLI to call the Gemini model.

   • GitHub Token: For the create_github_issue and create_github_pr tools, you need to set the GITHUB_TOKEN environment variable to your GitHub personal access token.

     export GITHUB_TOKEN="YOUR_GITHUB_TOKEN"

   • Server Port (Optional): The server port can be configured using the MCP_PORT environment variable. It defaults to 5001.

     export MCP_PORT=8080

4. Run the Server:

   python src/main.py

   The server will start on the port specified by MCP_PORT, or 5001 by default.

Usage

The server exposes two main endpoints:

• GET /mcp: Returns the MCP manifest, which describes the available tools.

• POST /jsonrpc: The JSON-RPC endpoint for calling the tools.

Example: Calling a tool using JSON-RPC

You can use curl to send a JSON-RPC request to any of the available tools. Here is an example of calling the call_gemini tool:

This will return a JSON-RPC response with the answer from the Gemini model.

Browsable API

For development and testing, you can access a web browsable API for the JSON-RPC endpoint by navigating to http://127.0.0.1:5001/jsonrpc in your web browser.

Security

This server includes security measures to prevent unauthorized file access.

File Path Validation

All tools that accept a file path (summarize_docs, lint_code, analyze_dependencies, generate_unit_tests, generate_docstrings) perform a validation to ensure that the requested path is within the project directory. This is to prevent directory traversal attacks where a user could potentially access sensitive files outside of the project's scope.