A

Aliargun MCP Server Gemini

The Gemini MCP Server project implements the Model Context Protocol (MCP) service, enabling Claude Desktop to interact with Google's Gemini AI model. It provides full MCP protocol support, real - time response streaming, secure API key handling, and configurable model parameters, and is implemented in TypeScript.
2 points
10

What is Gemini MCP Server?

This is an adapter service specifically designed for Claude Desktop. It connects the desktop client with Google's powerful Gemini AI model through the Model Context Protocol (MCP). It acts like an intelligent bridge, allowing you to use Gemini's advanced AI capabilities in the familiar Claude interface.

How to use Gemini MCP Server?

Just complete three simple steps: Obtain a Google API key → Modify the configuration file → Restart the application. Then you can seamlessly use the Gemini model in Claude Desktop.

Use cases

It is particularly suitable for users who need to leverage both Claude's excellent interface and Gemini's multimodal capabilities, such as content creators, researchers, and developers.

Main Features

Full MCP Protocol SupportFully compatible with Claude Desktop's communication protocol to ensure a stable connection
Real - Time Response StreamingReceive AI responses word - by - word, just like a native experience, without waiting for the full generation
Secure Key ManagementHandle API keys through environment variables to avoid the risk of sensitive information leakage
Flexible Parameter ConfigurationAdjust core model parameters such as temperature and maximum number of tokens

Advantages and Limitations

Advantages
Seamless integration: Obtain Gemini's capabilities while retaining Claude's excellent UX
Ready - to - use: One - click deployment with npm and simple configuration
Resource - friendly: Implemented in TypeScript with high operating efficiency
Limitations
Requires a valid Google API key
Depends on the Claude Desktop environment
Does not support quick switching between multiple accounts for now

How to Use

Obtain an API Key
Visit Google AI Studio to create an API key
Modify the Configuration File
Find the Claude configuration directory according to your operating system and add a gemini configuration block
Configuration Example
Add the following JSON to the mcpServers section of the configuration file
Restart the Application
Completely exit and restart Claude Desktop for the changes to take effect

Usage Examples

Technical Q&AGet professional - level answers to programming questions
Content CreationGenerate high - quality long - form articles
Learning AssistanceInteractively learn complex concepts

Frequently Asked Questions

Why does the connection fail?
How to verify if the API key is correct?
Which Gemini models are supported?

Related Resources

Google AI Studio
The official platform to obtain API keys
GitHub Repository
Project source code and the latest version
MCP Protocol Specification
Technical documentation for the protocol
Installation
Copy the following command to your Client for configuration
{
       "mcpServers": {
         "gemini": {
           "command": "npx",
           "args": ["-y", "github:aliargun/mcp-server-gemini"],
           "env": {
             "GEMINI_API_KEY": "your_api_key_here"
           }
         }
       }
     }
Note: Your key is sensitive information, do not share it with anyone.
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