Gemini Search MCP Server
An MCP server that generates responses based on the latest information using the Gemini API and Google Search.
Note: This MCP server does not work standalone. It needs to be used in combination with AI assistants like Cline. The Gemini search functionality becomes available when you load this project into an AI assistant.
Gemini API Google MCP
** **: MCP Cline AI AI Gemini
Features
Tools
search- Generate answers using Gemini 2.0 and Google Search
Tools
search- Gemini 2.0 Google
Setup
- Install dependencies:
- Build:
- Set environment variables:
Create a
.envfile in the project root with the following content:
Note: You can get your Gemini API key from Google AI Studio.
Development
For automatic builds during development:
Installation
To use with Claude Desktop, add the following configuration:
Windows:
%APPDATA%/Claude/claude_desktop_config.jsonDebugging
Since MCP servers communicate via stdio, we recommend using MCP Inspector for debugging:
The Inspector provides a URL to access debugging tools in your browser.
License
The code in this project is released under the MIT License.
However, please note that this project uses the Google Gemini API, which is subject to Google's Terms of Service. When using this MCP server, you must comply with both the MIT License for our code and Google's terms for the Gemini API.
- :
- :
- :
.env Gemini API Google AI Studio
Claude Desktop
Windows:
%APPDATA%/Claude/claude_desktop_config.jsonMCP stdio MCP Inspector
Inspector URL
Gemini Search MCP Server
An MCP server that generates responses based on the latest information using the Gemini API and Google Search.
Note: This MCP server does not work standalone. It needs to be used in combination with AI assistants like Cline. The Gemini search functionality becomes available when you load this project into an AI assistant.
Gemini API Google MCP
** **: MCP Cline AI AI Gemini
Features
Tools
search- Generate answers using Gemini 2.0 and Google Search
Tools
search- Gemini 2.0 Google
Setup
- Install dependencies:
- Build:
- Set environment variables:
Create a
.envfile in the project root with the following content:
Note: You can get your Gemini API key from Google AI Studio.
Development
For automatic builds during development:
Installation
To use with Claude Desktop, add the following configuration:
Windows:
%APPDATA%/Claude/claude_desktop_config.jsonDebugging
Since MCP servers communicate via stdio, we recommend using MCP Inspector for debugging:
The Inspector provides a URL to access debugging tools in your browser.
License
The code in this project is released under the MIT License.
However, please note that this project uses the Google Gemini API, which is subject to Google's Terms of Service. When using this MCP server, you must comply with both the MIT License for our code and Google's terms for the Gemini API.
- :
- :
- :
.env Gemini API Google AI Studio
Claude Desktop
Windows:
%APPDATA%/Claude/claude_desktop_config.jsonMCP stdio MCP Inspector
Inspector URL