Install
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Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
gemini-mcp
[](https://www.npmjs.com/package/claude-gemini-mcp) [](https://registry.modelcontextprotocol.io) [](https://nodejs.org) [](LICENSE)
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 represents a value that may or may not be present...
std::expected 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:
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
[MIT](LICENSE)
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: PavelGuzenfeld
- Source: PavelGuzenfeld/gemini-mcp
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.2 Imported from the upstream source.