Gemini MCP server

This MCP server implementation allows Claude Desktop to interact with Google's Gemini AI models through the Model Context Protocol (MCP). It provides real-time streaming responses while securely handling your API keys.

Getting Started

Obtaining a Gemini API Key

Before setting up the server, you need to get a Gemini API key:

1. Visit Google AI Studio
2. Create a new API key

Configuring Claude Desktop

To integrate Gemini models with Claude Desktop:

1. Locate your Claude Desktop configuration file:

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

2. Add the Gemini configuration to your file:

{
  "mcpServers": {
    "gemini": {
      "command": "npx",
      "args": ["-y", "github:aliargun/mcp-server-gemini"],
      "env": {
        "GEMINI_API_KEY": "your_api_key_here"
      }
    }
  }
}

3. Replace your_api_key_here with your actual Gemini API key
4. Save the file and restart Claude Desktop

Usage

After configuration, Claude Desktop will automatically start the MCP server when needed. The server handles:

• Full MCP protocol support
• Real-time response streaming
• Secure handling of your API key
• Configurable model parameters

Troubleshooting

Connection Issues

• Ensure port 3005 is available on your system
• Verify your internet connection is working
• Check that your API key has been entered correctly

API Key Problems

• Verify the API key is correct and has not expired
• Ensure you have proper permissions for the Gemini models
• Double-check for typos in your configuration file

Advanced Configuration

You can configure various model parameters by modifying the Claude Desktop configuration. The server supports all standard MCP protocol features and provides real-time streaming of responses from Gemini models.

How to add this MCP server to 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 > MCP and click "Add new global MCP server".

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

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

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 explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.