# 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

1. Build the Docker image:
```bash
docker build -t gemini-mcp-server .
```

## Integration with Cursor/Claude

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

```json
{
  "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.