Google Gemini MCP server

This Python-based MCP server enables integration with Google's Gemini AI models through the Model Context Protocol, making it compatible with applications like Cursor that support MCP. The server is built on FastMCP to facilitate communication between your applications and Gemini models.

Installation

Building the Docker Image

Build the Docker image using the following command:

docker build -t gemini-mcp-server .

Usage

Integrating with Cursor/Claude

To integrate the MCP server with applications like Cursor, follow these steps:

1. In your application, navigate to MCP Settings
2. Select "Add MCP server"
3. Add the following configuration:

{
  "mcpServers": {
    "gemini": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "--network",
        "host",
        "-e",
        "GEMINI_API_KEY",
        "-e",
        "GEMINI_MODEL",
        "-e",
        "GEMINI_BASE_URL",
        "-e",
        "HTTP_PROXY",
        "-e",
        "HTTPS_PROXY",
        "gemini-mcp-server:latest"
      ],
      "env": {
        "GEMINI_API_KEY":"your_api_key_here",
        "GEMINI_MODEL":"gemini-2.5-flash",
        "GEMINI_BASE_URL":"https://generativelanguage.googleapis.com/v1beta/openai/",
        "HTTP_PROXY":"http://127.0.0.1:17890",
        "HTTPS_PROXY":"http://127.0.0.1:17890"
      }
    }
  }
}

Configuration Options

Before using the server, make sure to replace the following environment variables with your actual values:

• GEMINI_API_KEY: Your Google Gemini API key
• GEMINI_MODEL: The Gemini model you want to use (default is "gemini-2.5-flash")
• GEMINI_BASE_URL: The base URL for Gemini API calls
• HTTP_PROXY and HTTPS_PROXY: Your proxy settings if needed

These settings allow the MCP server to authenticate with Google's Gemini service and route requests appropriately.

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "gemini" '{"command":"docker","args":["run","--rm","-i","--network","host","-e","GEMINI_API_KEY","-e","GEMINI_MODEL","-e","GEMINI_BASE_URL","-e","HTTP_PROXY","-e","HTTPS_PROXY","gemini-mcp-server:latest"],"env":{"GEMINI_API_KEY":"your_api_key_here","GEMINI_MODEL":"gemini-2.5-flash","GEMINI_BASE_URL":"https://generativelanguage.googleapis.com/v1beta/openai/","HTTP_PROXY":"http://127.0.0.1:17890","HTTPS_PROXY":"http://127.0.0.1:17890"}}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "gemini": {
            "command": "docker",
            "args": [
                "run",
                "--rm",
                "-i",
                "--network",
                "host",
                "-e",
                "GEMINI_API_KEY",
                "-e",
                "GEMINI_MODEL",
                "-e",
                "GEMINI_BASE_URL",
                "-e",
                "HTTP_PROXY",
                "-e",
                "HTTPS_PROXY",
                "gemini-mcp-server:latest"
            ],
            "env": {
                "GEMINI_API_KEY": "your_api_key_here",
                "GEMINI_MODEL": "gemini-2.5-flash",
                "GEMINI_BASE_URL": "https://generativelanguage.googleapis.com/v1beta/openai/",
                "HTTP_PROXY": "http://127.0.0.1:17890",
                "HTTPS_PROXY": "http://127.0.0.1:17890"
            }
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "gemini": {
            "command": "docker",
            "args": [
                "run",
                "--rm",
                "-i",
                "--network",
                "host",
                "-e",
                "GEMINI_API_KEY",
                "-e",
                "GEMINI_MODEL",
                "-e",
                "GEMINI_BASE_URL",
                "-e",
                "HTTP_PROXY",
                "-e",
                "HTTPS_PROXY",
                "gemini-mcp-server:latest"
            ],
            "env": {
                "GEMINI_API_KEY": "your_api_key_here",
                "GEMINI_MODEL": "gemini-2.5-flash",
                "GEMINI_BASE_URL": "https://generativelanguage.googleapis.com/v1beta/openai/",
                "HTTP_PROXY": "http://127.0.0.1:17890",
                "HTTPS_PROXY": "http://127.0.0.1:17890"
            }
        }
    }
}

3. Restart Claude Desktop for the changes to take effect