MCP Server

Gemini MCP Server

A Python-based MCP server that enables integration of Gemini AI models with MCP-compatible applications like Cursor/Claude, allowing for interaction with Gemini APIs through the Model Context Protocol.

GitHub Stars

11/23/2025

Last Updated

MCP Server Configuration

2 "name": "gemini",

3 "command": "docker",

4 "args": [

5 "run",

6 "--rm",

7 "-i",

8 "--network",

9 "host",

10 "-e",

11 "GEMINI_API_KEY",

12 "-e",

13 "GEMINI_MODEL",

14 "-e",

15 "GEMINI_BASE_URL",

16 "-e",

17 "HTTP_PROXY",

18 "-e",

19 "HTTPS_PROXY",

20 "gemini-mcp-server:latest"

21 ],

22 "env": {

23 "GEMINI_API_KEY": "your_api_key_here",

24 "GEMINI_MODEL": "gemini-2.5-flash",

25 "GEMINI_BASE_URL": "https://generativelanguage.googleapis.com/v1beta/openai/",

26 "HTTP_PROXY": "http://127.0.0.1: 17890",

27 "HTTPS_PROXY": "http://127.0.0.1: 17890"

28 }

29}

JSON29 lines

README Documentation

Gemimi MCP Server (in Python)

Model Context Protocol (MCP) server for Gemimi integration, built on FastMCP.

This server is implemented in Python, with fastmcp.

Quick Start

Build the Docker image:

docker build -t gemini-mcp-server .

Integration with Cursor/Claude

In MCP Settings -> Add MCP server, add this config:

{
  "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"

      }
    }
  }
}

Note: Don't forget to replace GEMINI_API_KEY、GEMINI_MODEL、GEMINI_BASE_URL、HTTP_PROXY、HTTPS_PROXY values with your actual Gemimi credentials and instance URL.

Quick Install

Quick Actions

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Key Features

Model Context Protocol

Secure Communication

Real-time Updates

Open Source

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Integration with Cursor/Claude

In MCP Settings -> Add MCP server, add this config:

{ "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" } } } }

Note: Don't forget to replace GEMINI_API_KEY、GEMINI_MODEL、GEMINI_BASE_URL、HTTP_PROXY、HTTPS_PROXY values with your actual Gemimi credentials and instance URL.