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Gemini MCP Server

@rtbui2012

Repository

Basic information

Category

AI & Agents

License

MIT license

Transports

stdio

Author

rtbui2012

About Gemini MCP Server

No overview available yet

#gemini#mcp#server#google-search#ai-assistant

Gemini MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "gemini-mcp-server-rtbui2012": {
      "command": "npx",
      "args": [
        "ts-node",
        "src/test.ts"
      ]
    }
  }
}

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.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Gemini MCP Server?

It implements a Model Context Protocol (MCP) server for Google Search, enabling integration with AI assistants and other MCP-compatible clients.

How to use Gemini MCP Server?

Install dependencies with npm install, set up your Google Custom Search API key in a .env file as GEMINI_API_KEY, then run a test search via npx ts-node src/test.ts or integrate it as an MCP server in your client configuration (e.g., claude_desktop_config.json).

Key features of Gemini MCP Server

  • Provides a googleSearchContent tool for web search results (title, link, snippet).
  • Provides a googleSearchImages tool for image search (Markdown image link).
  • Built on Node.js 18+ with npm package management.
  • Works with any MCP-compatible client.
  • Simple .env‑based credential management.

Use cases of Gemini MCP Server

  • AI assistants retrieving real‑time web search results.
  • Fetching image links for visual content in conversations.
  • Integrating Google Search capabilities into custom MCP pipelines.
  • Testing and prototyping MCP server configurations.

Frequently asked questions

1

What are the prerequisites?

Node.js 18 or newer and npm are required.

2

How do I get the required API key?

Obtain a Google Custom Search API key from the [Google Custom Search JSON API documentation](https://developers.google.com/custom-search/v1/overview) and place it in a `.env` file as `GEMINI_API_KEY`.

3

What tools does the server provide?

Two tools: `googleSearchContent` (web search returning titles, links, and snippets) and `googleSearchImages` (image search returning a Markdown image link for the first result).

4

How can I integrate this server with Claude or another MCP client?

Add an entry to your MCP settings file (e.g., `claude_desktop_config.json`) with the command `npx ts-node src/index.ts` and the `GEMINI_API_KEY` environment variable set to your key.

5

What should I do if search fails?

Verify that your API key is correctly set in the `.env` file or environment, all dependencies are installed (`npm install`), Node.js 18+ is used, and the server has been restarted after any code changes.

Comments

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