gemini-mcp-server
@MCP-Mirror
About gemini-mcp-server
Mirror of
Config
No standard config provided
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RepositoryTools
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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_textfor 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
FAQ from gemini-mcp-server
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.
What are the prerequisites?
Node.js 18 or higher, a Google Gemini API key, and the Claude Desktop app. TypeScript is also recommended.
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.
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.
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.
Frequently asked questions
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.
What are the prerequisites?
Node.js 18 or higher, a Google Gemini API key, and the Claude Desktop app. TypeScript is also recommended.
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.
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.
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.
Basic information
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