Gemini

HTTPv1.0.0Credential RequiredJan 22, 2026

Documentation

Guide

Generate text using Google's Gemini LLM via API.

A Model Context Protocol (MCP) server that exposes Google Gemini's API for generating text content.

Overview

The Gemini MCP Server provides stateless, multi-user access to Gemini's core operations:

Text Generation — Generate high-quality text using the Gemini LLM
Flexible Prompting — Support for custom queries and model selection
API Integration — Seamless integration with the Gemini API

Perfect for:

Building AI-powered content generation workflows
Automating text creation tasks
Integrating LLM capabilities into multi-agent systems

Tools

Reference & Support

Connect

Get connection URL

https://gateway.mewcp.com/gemini/mcp

Request Builder

import asyncio
from fastmcp import Client

# Real MewCP gateway URL for this server
GATEWAY_URL = "https://gateway.mewcp.com/gemini/mcp"
API_KEY = "YOUR_API_KEY"

headers={
    "Authorization": f"Bearer {API_KEY}"
}

async def main():
    
    client = Client(GATEWAY_URL, headers=headers)
    
    async with client:
        # Test the connection by pinging the server
        await client.ping()
        
        # List available operations
        tools = await client.list_tools()
        resources = await client.list_resources()
        prompts = await client.list_prompts()

        # Execute operations
        result = await client.call_tool("example_tool", {"param": "value"})
        print(result)

asyncio.run(main())