gemini-mcp
Provides tools to interact with Google Gemini models, including asking questions, analyzing code/text, multi-turn conversations, and listing available models, with per-call model overrides.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@gemini-mcpUse gemini_ask to explain the difference between std::expected and std::optional"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 |
| Ask Gemini a question or give it a task |
| Send code/text for analysis with a specific instruction |
| Multi-turn conversation with full history |
| List available Gemini models |
Related MCP server: Gemini Bridge
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 installOption B — npx (no install)
npx claude-gemini-mcp3. 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 logEnvironment Variables
Variable | Default | Description |
| (required) | Google AI Studio API key |
|
| Default model for all tools |
Models
Model | Best for |
| Best quality, large context (1M tokens) |
| Fast, good for most tasks |
| 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 |
| Add the key to your |
| Built-in retry handles this — wait a few seconds |
| Run |
Tools not appearing in Claude Code | Check |
| Check network/firewall — the server calls |
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 locallyLicense
This server cannot be installed
Maintenance
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