Gemini MCP Server

Gemini MCP Server

Integrates Google's Gemini AI with Claude Code to provide advanced development assistance including code analysis, implementation planning, technical explanations, debugging support, and strategic development guidance.

Category
Visit Server

README

Gemini MCP Server

A Model Context Protocol (MCP) server that integrates Google's Gemini AI with Claude Code for enhanced development workflows.

<video src="https://github.com/user-attachments/assets/5aa59a83-0ce5-4a58-976f-1d717517bee9" controls> </video>

Overview

This MCP server provides Claude Code with access to Gemini AI capabilities for advanced code analysis, planning, and consultation. It bridges the gap between Claude's development assistance and Gemini's powerful language understanding, offering a comprehensive AI-powered development experience.

Features

Current Tools

Planning & Strategy

  • generate-plan - Generate detailed implementation plans for development tasks
  • strategic-plan - Create high-level strategic roadmaps for complex features
  • review-approach - Review and validate implementation approaches before coding

Analysis & Understanding

  • analyze-codebase - Analyze codebase structure and patterns before making changes
  • explain-concept - Get comprehensive explanations of technical concepts and patterns
  • compare-technologies - Compare different technologies, frameworks, or approaches

Development Support

  • gemini-consult - Get expert guidance when stuck on problems or need additional context
  • generate-tests - Generate comprehensive test strategies and plans
  • generate-docs - Create documentation structure and content strategies
  • debug-assist - Analyze errors and get systematic debugging assistance

Claude Commands

Each tool is accessible via Claude Code commands:

Planning & Strategy

  • /plan - Generate detailed implementation plans
  • /strategy - Create strategic roadmaps for complex features
  • /review - Review and validate implementation approaches

Analysis & Understanding

  • /analyze - Analyze codebase architecture and patterns
  • /explain - Get comprehensive explanations of technical concepts
  • /compare - Compare technologies, frameworks, or approaches

Development Support

  • /consult - Get expert guidance and development advice
  • /tests - Generate comprehensive test strategies
  • /docs - Create documentation structure and strategies
  • /debug - Get systematic debugging assistance

Prerequisites

  • Node.js 18+ and pnpm
  • Gemini CLI installed and configured
  • Valid Google AI API credentials for Gemini access
  • Claude Code CLI

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/gemini-mcp.git
    cd gemini-mcp
    
  2. Install dependencies:

    pnpm install
    
  3. Build the project:

    pnpm build
    
  4. Configure Gemini CLI with your API credentials:

    gemini auth login
    

Usage

Running the Server

For development:

pnpm dev

For production:

pnpm start

Integration with Claude Code

Add this server to your Claude Code configuration:

claude mcp add gemini-mcp node /path/to/dist/index.js

Adding custom commands

Copy the content of claude-commands to your .claude/commands folder

cp claude-commands/* ./claude/commands

Using the Tools

Once configured, you can use the tools directly in Claude Code:

Planning and Strategy

/plan Add user authentication with JWT tokens
/strategy Real-time chat system | WebSocket connections, message persistence, user presence
/review I plan to use Redux Toolkit with RTK Query for state management

Analysis and Understanding

/analyze [select files/folders to analyze their architecture]
/explain event loop in Node.js and asynchronous operations
/compare React vs Vue for building a dashboard application

Development Support

/consult How should I structure error handling in my React app?
/tests UserAuthenticationService with login, logout, and password reset methods
/docs REST API endpoints for user management system
/debug TypeError: Cannot read property 'map' of undefined in React component

Development

Project Structure

├── src/
│   ├── index.ts              # Entry point
│   ├── server.ts             # MCP server setup and tool registration
│   ├── gemini.ts             # Gemini client wrapper
│   ├── prompts.ts            # Structured prompt templates
│   ├── tools.ts              # Tool configurations and metadata
│   └── generateCommands.ts   # Auto-generates claude-commands
├── claude-commands/          # Auto-generated Claude command docs
│   ├── plan.md, strategy.md, review.md
│   ├── analyze.md, explain.md, compare.md
│   ├── consult.md, tests.md, docs.md
│   └── debug.md
├── dist/                     # Compiled output
└── package.json

Available Scripts

  • pnpm dev - Run in development mode with hot reload
  • pnpm build - Compile TypeScript and auto-generate commands
  • pnpm generate-commands - Generate claude-commands from tool configurations
  • pnpm start - Run the compiled server
  • pnpm typecheck - Run TypeScript type checking
  • pnpm clean - Remove build artifacts

Adding New Tools

  1. Add new prompt template in src/prompts.ts
  2. Add tool configuration in src/tools.ts
  3. Implement the method in src/gemini.ts
  4. Add case in src/server.ts switch statement
  5. Run pnpm generate-commands to auto-create documentation
  6. Update this README if needed

The system automatically generates claude-commands from tool configurations, ensuring consistency.

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

License

MIT License - see LICENSE file for details

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured