Files
my-pal-mcp-server/README.md
Fahad 149a58d042 feat: Simplify configuration with run_gemini scripts
- Added run_gemini.sh for macOS/Linux
- Added run_gemini.bat for Windows
- Scripts handle virtual environment activation automatically
- Updated README and config examples to use the simpler command
- No need to specify Python path or script arguments anymore

This makes the setup much cleaner and less error-prone for users.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-06-08 20:18:18 +04:00

187 lines
5.1 KiB
Markdown

# Gemini MCP Server for Claude Code
A specialized Model Context Protocol (MCP) server that extends Claude Code's capabilities with Google's Gemini 2.5 Pro Preview, featuring a massive 1M token context window for handling large codebases and complex analysis tasks.
## 🎯 Purpose
This server acts as a developer assistant that augments Claude Code when you need:
- Analysis of files too large for Claude's context window
- Deep architectural reviews across multiple files
- Extended thinking and complex problem solving
- Performance analysis of large codebases
- Security audits requiring full codebase context
## 🚀 Quick Start for Claude Code
### 1. Configure in Claude Desktop
Add to your Claude Desktop configuration file:
**macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
```json
{
"mcpServers": {
"gemini": {
"command": "/path/to/gemini-mcp-server/run_gemini.sh",
"env": {
"GEMINI_API_KEY": "your-gemini-api-key-here"
}
}
}
}
```
**Windows**: `%APPDATA%\Claude\claude_desktop_config.json`
```json
{
"mcpServers": {
"gemini": {
"command": "C:\\path\\to\\gemini-mcp-server\\run_gemini.bat",
"env": {
"GEMINI_API_KEY": "your-gemini-api-key-here"
}
}
}
}
```
### 2. Restart Claude Desktop
After adding the configuration, restart Claude Desktop. You'll see "gemini" in the MCP servers list.
### 3. Add to Claude Code
To make the server available in Claude Code, run:
```bash
claude mcp add-from-claude-desktop -s user
```
### 4. Start Using Natural Language
Just talk to Claude naturally:
- "Use Gemini to analyze this large file..."
- "Ask Gemini to review the architecture of these files..."
- "Have Gemini check this codebase for security issues..."
## 💻 Developer-Optimized Features
### Automatic Developer Context
When no custom system prompt is provided, Gemini automatically operates with deep developer expertise, focusing on:
- Clean code principles
- Performance optimization
- Security best practices
- Architectural patterns
- Testing strategies
- Modern development practices
### Optimized Temperature Settings
- **General chat**: 0.5 (balanced accuracy with some creativity)
- **Code analysis**: 0.2 (high precision for code review)
### Large Context Window
- Handles up to 1M tokens (~4M characters)
- Perfect for analyzing entire codebases
- Maintains context across multiple large files
## 🛠️ Available Tools
### `chat`
General-purpose developer conversations with Gemini.
**Example uses:**
```
"Ask Gemini about the best approach for implementing a distributed cache"
"Use Gemini to explain the tradeoffs between different authentication strategies"
```
### `analyze_code`
Specialized tool for analyzing large files or multiple files that exceed Claude's limits.
**Example uses:**
```
"Use Gemini to analyze /src/core/engine.py and identify performance bottlenecks"
"Have Gemini review these files together: auth.py, users.py, permissions.py"
```
### `list_models`
Lists available Gemini models (defaults to 2.5 Pro Preview).
## 📋 Installation
1. Clone the repository:
```bash
git clone https://github.com/BeehiveInnovations/gemini-mcp-server.git
cd gemini-mcp-server
```
2. Create virtual environment:
```bash
python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. Install dependencies:
```bash
pip install -r requirements.txt
```
4. Set your Gemini API key:
```bash
export GEMINI_API_KEY="your-api-key-here"
```
## 🔧 Advanced Configuration
### Custom System Prompts
Override the default developer prompt when needed:
```python
{
"prompt": "Review this code",
"system_prompt": "You are a security expert. Focus only on vulnerabilities."
}
```
### Temperature Control
Adjust for your use case:
- `0.1-0.3`: Maximum precision (debugging, security analysis)
- `0.4-0.6`: Balanced (general development tasks)
- `0.7-0.9`: Creative solutions (architecture design, brainstorming)
### Model Selection
While defaulting to `gemini-2.5-pro-preview-06-05`, you can specify other models:
- `gemini-1.5-pro-latest`: Stable alternative
- `gemini-1.5-flash`: Faster responses
- Use `list_models` to see all available options
## 🎯 Claude Code Integration Examples
### When Claude hits token limits:
```
Claude: "This file is too large for me to analyze fully..."
You: "Use Gemini to analyze the entire file and identify the main components"
```
### For architecture reviews:
```
You: "Use Gemini to analyze all files in /src/core/ and create an architecture diagram"
```
### For performance optimization:
```
You: "Have Gemini profile this codebase and suggest the top 5 performance improvements"
```
## 📝 Notes
- Gemini 2.5 Pro Preview may occasionally block certain prompts due to safety filters
- The server automatically falls back gracefully when this happens
- Token estimation: ~4 characters per token
- All file paths should be absolute paths
## 🤝 Contributing
This server is designed specifically for Claude Code users. Contributions that enhance the developer experience are welcome!
## 📄 License
MIT License - feel free to customize for your development workflow.