Which integrations are available for this server?

Provides access to Google Gemini AI models for text generation with configurable model selection and temperature settings.

How do I use Gemini MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Gemini MCP Server explain quantum computing in simple terms" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Gemini MCP Server

An MCP (Model Context Protocol) server that provides access to Google Gemini AI models.

Quick Start

Install dependencies:

npm install

Create a .env file with your Gemini API key:

GEMINI_API_KEY=your_api_key_here

Start the server:

npm run dev

The server will run at http://localhost:3333/mcp

Available Tool

`gemini_generateText`

Generate text using Google Gemini models.

Parameters:

prompt (string, required): The text prompt
model (string, optional): Gemini model to use (default: gemini-2.5-pro)
temperature (number, optional): Temperature for generation, 0-2 (default: 1)

Returns:

text: Generated text response
model: Model used
temperature: Temperature setting used

Usage Example

import { Client as McpClient } from '@modelcontextprotocol/sdk/client/index.js';
import { StreamableHTTPClientTransport } from '@modelcontextprotocol/sdk/client/streamableHttp.js';

const transport = new StreamableHTTPClientTransport(
  new URL('http://localhost:3333/mcp')
);

const client = new McpClient(
  { name: 'my-client', version: '1.0.0' },
  { capabilities: {} }
);

await client.connect(transport);

const result = await client.callTool({
  name: 'gemini_generateText',
  arguments: {
    prompt: 'Explain AI in simple terms',
    model: 'gemini-2.5-pro',
    temperature: 0.7
  }
});

console.log(result);
await client.close();

Testing

Run the included test client (requires server to be running):

npm test

Configuration

Environment variables:

GEMINI_API_KEY (required): Your Google Gemini API key
PORT (optional): Server port (default: 3333)

Deployment

Deploy to Google Cloud Run with automated scripts:

# 0. Prerequisites (one-time, via GCP Console)
#    - Create GCP project
#    - Link billing account
#    - Run: gcloud auth login

# 1. Setup GCP (one-time)
./bin/setup-gcp.sh \
  --project-id=my-project \
  --github-user=your-username \
  --github-repo=gemini-mcp

# 2. Set GitHub Secrets (follow script output)

# 3. Deploy
git push origin main

For detailed deployment instructions, see DEPLOYMENT.md.