{
  "type": "mcp-server",
  "packageName": "gemini-mcp-server",
  "description": "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.",
  "url": "https://github.com/lucky-dersan/gemini-mcp-server",
  "runtime": "python",
  "license": "unknown",
  "env": {
    "HTTP_PROXY": {
      "description": "HTTP proxy configuration",
      "required": true
    },
    "HTTPS_PROXY": {
      "description": "HTTPS proxy configuration",
      "required": true
    },
    "GEMINI_MODEL": {
      "description": "The Gemini model to use",
      "required": true
    },
    "GEMINI_API_KEY": {
      "description": "Your Gemini API key",
      "required": true
    },
    "GEMINI_BASE_URL": {
      "description": "The base URL for Gemini API",
      "required": true
    }
  },
  "name": "Gemini MCP Server"
}