The Gemini MCP 服务器 MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.
Configuration
Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.
Context7 Platform - Up-to-date Code Docs For Any Prompt
upstash
Community
Context7 MCP server providing up-to-date, version-specific documentation and code examples for libraries, enabling coding agents to fetch accurate docs and code snippets. Requires an API key for higher rate limits, passed via CONTEXT7_API_KEY header.
57.7Kstars0forks
Playwright MCP
Microsoft Corporation
Community
A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. Enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.
35.5Kstars0forks
AIHawk
feder-cr
Community
AIHawk is an anti detect browser and web browsing agent, open source, with an MCP server for coding agents: undetected, no captchas, no blocks. It requires an OpenRouter API key for the standalone web UI mode, which can be provided via the --openrouter-key flag or the OPENROUTER_API_KEY environment variable or a .env file in the running directory.
A powerful MCP (Model Context Protocol) server that brings Google's latest Gemini AI models to your favorite development environment. Access Gemini 2.5's thinking capabilities, vision analysis, embeddings, and more through a seamless integration.
🚀 Works with: Claude Desktop, Cursor, Windsurf, and any MCP-compatible client 🎯 Why use this: Get Gemini's cutting-edge AI features directly in your IDE with full parameter control 📚 Self-documenting: Built-in help system means you never need to leave your editor
Features
6 Powerful Tools: Text generation, image analysis, token counting, model listing, embeddings, and self-documenting help
Latest Gemini Models: Support for Gemini 2.5 series with thinking capabilities
Advanced Features: JSON mode, Google Search grounding, system instructions, conversation memory
Full MCP Protocol: Standard stdio communication for seamless integration with any MCP client
Self-Documenting: Built-in help system - no external docs needed
Once configured, you can use natural language in your MCP client to access Gemini's capabilities:
Basic Commands
"Use Gemini to explain quantum computing"
"Analyze this image with Gemini"
"List all Gemini models"
"Get help on using Gemini"
Advanced Examples
"Use Gemini 2.5 Pro with temperature 0.3 to review this code"
"Use Gemini in JSON mode to extract key points with schema {title, summary, tags}"
"Use Gemini with grounding to research the latest in quantum computing"
# Clone repository
git clone https://github.com/aliargun/mcp-server-gemini.git
cd mcp-server-gemini
# Install dependencies
npm install
# Set up environment variables
cp .env.example .env
# Edit .env and add your GEMINI_API_KEY
# Start development server
npm run dev