Gemini

HTTPv1.0.0Credential RequiredMay 15, 2026

Documentation

Guide

Access Google's most capable AI models through a single MCP tool.

A Model Context Protocol (MCP) server that exposes Google Gemini's API for generating text using state-of-the-art large language models.

Overview

The Gemini MCP Server provides direct access to Google's Gemini LLMs:

Generate high-quality text responses from natural language prompts
Choose between fast and capable Gemini model variants
Integrate Gemini's reasoning into any MCP-compatible AI workflow

Perfect for:

AI agents that need to delegate subtasks to a powerful LLM
Generating summaries, translations, code, or creative content
Augmenting workflows with Gemini's reasoning and language capabilities

Tools

Connect

Get connection URL

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

Code Snippets

{
  "inputs": [
    {
      "type": "promptString",
      "id": "gemini-api-key",
      "password": true
    }
  ],
  "servers": {
    "gemini": {
      "type": "http",
      "url": "https://gateway.mewcp.com/gemini/mcp",
      "headers": {
        "Authorization": "Bearer ${input:gemini-api-key}",
        "x-mewcp-credential-id": "YOUR_CREDENTIAL_ID"
      }
    }
  }
}

Request Builder

import asyncio
from fastmcp import Client

GATEWAY_URL = "https://gateway.mewcp.com/gemini/mcp"
API_KEY = "YOUR_API_KEY"
CREDENTIAL_ID = "YOUR_CREDENTIAL_ID"

headers={
    "Authorization": f"Bearer {API_KEY}",
    "x-mewcp-credential-id": CREDENTIAL_ID,
}

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())

Model	Description
`gemini-2.5-flash`	Fast and efficient — best for most tasks (default)
`gemini-2.5-pro`	More capable — best for complex reasoning and analysis

Gemini

Documentation

Overview

Tools

Overview

Tools

Available Models

Step 1: Get Your Gemini API Key

Step 2: Add the Key to MewCP

Step 3: Authenticate Your Requests

Troubleshooting