Gemini MCP Server

Name: Gemini MCP Server
Author: rtbui2012

@rtbui2012

Repository

About Gemini MCP Server

No overview available yet

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

Basic information

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"
      ]
    }
  }
}

Tools

No tools detected

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?

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.

FAQ from Gemini MCP Server

What are the prerequisites?

Node.js 18 or newer and npm are required.

How do I get the required API key?

Obtain a Google Custom Search API key from the Google Custom Search JSON API documentation and place it in a .env file as GEMINI_API_KEY.

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).

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.

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.