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Gemini MCP Server

@MCP-Mirror

Basic information

Category

AI & Agents

License

MIT license

Transports

stdio

Author

MCP-Mirror

About Gemini MCP Server

Mirror of

Gemini MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Gemini MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is gemini-mcp-server?

A TypeScript-based Model Context Protocol (MCP) server that integrates Google's Gemini Pro model, enabling text generation through the MCP tool generate_text. It is designed to be used with the Claude Desktop app.

How to use gemini-mcp-server?

Install Node.js 18 or higher, obtain a Google Gemini API key, clone the repository, run npm install and npm run build. Then configure the server in Claude Desktop Settings > Developer > Edit Config using the provided JSON snippet, replacing the path and API key.

Key features of gemini-mcp-server

  • Single MCP tool: generate_text for text generation
  • Integrates with Google's Gemini Pro model
  • Written in TypeScript
  • Designed for use with Claude Desktop
  • Requires Node.js 18 or higher

Use cases of gemini-mcp-server

  • Generate text from prompts using Gemini Pro within Claude Desktop
  • Use Gemini as a specialized language model in MCP-compatible environments

Frequently asked questions

1

What is gemini-mcp-server?

It is an MCP server that allows Claude Desktop to call Google's Gemini Pro model for text generation via the `generate_text` tool.

2

What are the prerequisites?

Node.js 18 or higher, a Google Gemini API key, and the Claude Desktop app. TypeScript is also recommended.

3

How do I install and configure it?

Clone the repository, run `npm install` and `npm run build`. Then add the JSON configuration to Claude Desktop's MCP settings, specifying the absolute path to the project and your Gemini API key.

4

What API key is needed?

A Google Gemini API key. The README does not specify where to obtain one, but it is required to set the `GEMINI_API_KEY` environment variable.

5

Where does the server run?

It runs as a local Node.js process launched by Claude Desktop. The server’s code is stored in the cloned repository.

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