io.github.PavelGuzenfeld/gemini
MCP server that exposes Google Gemini as tools for Claude Code
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- Retry with exponential backoff on rate limits (429) and server errors (5xx)
- Graceful error reporting back to the MCP client (no crashes)
- Per-call model override
- Zero configuration beyond the API key
التثبيت
أضف هذا إلى إعدادات MCP في عميلك (Claude Desktop: claude_desktop_config.json، وCursor: .cursor/mcp.json، ويستخدم VS Code وغيره الصيغة نفسها «mcpServers»).
claude-gemini-mcpclaude mcp add gemini -e 'GEMINI_API_KEY=<your gemini_api_key>' -- npx -y claude-gemini-mcp@0.1.2
{
"mcpServers": {
"gemini": {
"command": "npx",
"args": [
"-y",
"claude-gemini-mcp@0.1.2"
],
"env": {
"GEMINI_API_KEY": "<your gemini_api_key>"
}
}
}
}
متغيرات البيئة
GEMINI_API_KEYإلزامي سري Google Gemini API key
التوثيق
مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.
المحتويات
gemini-mcp
Lightweight MCP server that exposes Google Gemini as tools for Claude Code (or any MCP client).
Use Gemini for second opinions, large-context analysis, code review, or anything where a different model perspective helps.
Tools
| Tool | Description |
|---|---|
gemini_ask | Ask Gemini a question or give it a task |
gemini_analyze | Send code/text for analysis with a specific instruction |
gemini_chat | Multi-turn conversation with full history |
gemini_models | List available Gemini models |
Quick Start
1. Get an API key
Go to Google AI Studio and create a free API key.
2. Install
Option A — Clone (recommended for Claude Code)
git clone https://github.com/PavelGuzenfeld/gemini-mcp.git ~/.claude/mcp-servers/gemini
cd ~/.claude/mcp-servers/gemini
npm install
Option B — npx (no install)
npx claude-gemini-mcp
3. Register with Claude Code
Add to ~/.claude/settings.json:
{
"mcpServers": {
"gemini": {
"command": "node",
"args": ["/home/you/.claude/mcp-servers/gemini/index.js"],
"env": {
"GEMINI_API_KEY": "your-key-here"
}
}
}
}
Or with npx:
{
"mcpServers": {
"gemini": {
"command": "npx",
"args": ["-y", "claude-gemini-mcp"],
"env": {
"GEMINI_API_KEY": "your-key-here"
}
}
}
}
Usage Examples
Ask a question
> Use gemini_ask to explain the difference between std::expected and std::optional
Gemini says: std::optional<T> represents a value that may or may not be present...
std::expected<T, E> additionally carries an error value when the expected value is absent...
Analyze code
> Use gemini_analyze to review this function for performance issues:
instruction: "Find performance bottlenecks"
content: <your code here>
Gemini says: Line 12 allocates inside the loop — move the vector outside...
Multi-turn conversation
> Use gemini_chat with messages:
[{"role": "user", "content": "Design a REST API for a task manager"},
{"role": "model", "content": "Here's a RESTful design..."},
{"role": "user", "content": "Now add authentication"}]
Gemini says: Building on the previous design, add JWT-based auth...
Override model per call
> Use gemini_ask with model: "gemini-2.5-flash" to quickly summarize this error log
Environment Variables
| Variable | Default | Description |
|---|---|---|
GEMINI_API_KEY | (required) | Google AI Studio API key |
GEMINI_MODEL | gemini-2.5-pro | Default model for all tools |
Models
| Model | Best for |
|---|---|
gemini-2.5-pro | Best quality, large context (1M tokens) |
gemini-2.5-flash | Fast, good for most tasks |
gemini-2.0-flash | Fastest, simple tasks |
Every tool accepts an optional model parameter to override the default per-call.
Features
- Retry with exponential backoff on rate limits (429) and server errors (5xx)
- Graceful error reporting back to the MCP client (no crashes)
- Per-call model override
- Zero configuration beyond the API key
Troubleshooting
| Problem | Solution |
|---|---|
GEMINI_API_KEY is not set | Add the key to your env block in settings.json |
429 Too Many Requests | Built-in retry handles this — wait a few seconds |
Model not found | Run gemini_models to list valid model names |
| Tools not appearing in Claude Code | Check ~/.claude/settings.json syntax, restart Claude Code |
ECONNREFUSED | Check network/firewall — the server calls generativelanguage.googleapis.com |
Development
git clone https://github.com/PavelGuzenfeld/gemini-mcp.git
cd gemini-mcp
npm install
npm test # Run smoke tests
node index.js # Start the MCP server locally
License
الأسئلة الشائعة
ما هو io.github.PavelGuzenfeld/gemini؟
MCP server that exposes Google Gemini as tools for Claude Code
كيف أثبّت io.github.PavelGuzenfeld/gemini؟
يعمل على جهازك. في Claude Code: claude mcp add gemini -e 'GEMINI_API_KEY=<your gemini_api_key>' -- npx -y claude-gemini-mcp@0.1.2. وفي العملاء الآخرين، الصق إعداد JSON من هذه الصفحة في إعدادات MCP الخاصة بهم.
هل يحتاج io.github.PavelGuzenfeld/gemini إلى مفتاح API؟
نعم. يتطلب GEMINI_API_KEY، وتضبطها في إعداداته.
هل io.github.PavelGuzenfeld/gemini مفتوح المصدر؟
نعم. شيفرته متاحة على GitHub بترخيص MIT.
من يصون io.github.PavelGuzenfeld/gemini؟
ينشره PavelGuzenfeld. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.
من سجل MCP الرسمي. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.