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io.github.PavelGuzenfeld/gemini

Official registry Developer tools

MCP server that exposes Google Gemini as tools for Claude Code

Source code Documentation

What can you do with io.github.PavelGuzenfeld/gemini?

  • 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

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package claude-gemini-mcp
Claude Code 
claude mcp add gemini -e 'GEMINI_API_KEY=<your gemini_api_key>' -- npx -y claude-gemini-mcp@0.1.2
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "gemini": {
            "command": "npx",
            "args": [
                "-y",
                "claude-gemini-mcp@0.1.2"
            ],
            "env": {
                "GEMINI_API_KEY": "<your gemini_api_key>"
            }
        }
    }
}

Environment variables

  • GEMINI_API_KEY required secret Google Gemini API key

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. gemini-mcp
  2. Tools
  3. Quick Start
  4. Usage Examples
  5. Environment Variables
  6. Models
  7. Features
  8. Troubleshooting
  9. Development
  10. License

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

ToolDescription
gemini_askAsk Gemini a question or give it a task
gemini_analyzeSend code/text for analysis with a specific instruction
gemini_chatMulti-turn conversation with full history
gemini_modelsList 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

VariableDefaultDescription
GEMINI_API_KEY(required)Google AI Studio API key
GEMINI_MODELgemini-2.5-proDefault model for all tools

Models

ModelBest for
gemini-2.5-proBest quality, large context (1M tokens)
gemini-2.5-flashFast, good for most tasks
gemini-2.0-flashFastest, 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

ProblemSolution
GEMINI_API_KEY is not setAdd the key to your env block in settings.json
429 Too Many RequestsBuilt-in retry handles this — wait a few seconds
Model not foundRun gemini_models to list valid model names
Tools not appearing in Claude CodeCheck ~/.claude/settings.json syntax, restart Claude Code
ECONNREFUSEDCheck 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

Frequently asked questions

What is io.github.PavelGuzenfeld/gemini?

MCP server that exposes Google Gemini as tools for Claude Code

How do I install io.github.PavelGuzenfeld/gemini?

It runs on your machine. In Claude Code: claude mcp add gemini -e 'GEMINI_API_KEY=<your gemini_api_key>' -- npx -y claude-gemini-mcp@0.1.2. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.PavelGuzenfeld/gemini need an API key?

Yes. It expects GEMINI_API_KEY, which you set in its configuration.

Is io.github.PavelGuzenfeld/gemini open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.PavelGuzenfeld/gemini?

It is published by PavelGuzenfeld. AI.tn lists it but does not maintain or endorse it.

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