What prerequisites are needed?
The server requires Python 3.12+, a Google Custom Search Engine ID (CSE ID), and a Google API key. Both credentials must be set in a `.env` file.
@moritalous
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"google-search-mcp-server-moritalous": {
"command": "python",
"args": [
"app.py"
]
}
}
}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.
Google Search MCP サーバー is a Model Context Protocol (MCP) server that provides AI assistants with Google Search API capabilities. It uses Gradio and MCP to act as an interface between AI assistants and the Google Search API, enabling web search functionality.
Install dependencies with pip install -e ., set the GOOGLE_CSE_ID and GOOGLE_API_KEY environment variables in a .env file, then start the server with python app.py. The server launches a Gradio interface that functions as an MCP endpoint.
The server requires Python 3.12+, a Google Custom Search Engine ID (CSE ID), and a Google API key. Both credentials must be set in a `.env` file.
You can request between 1 and 20 results; the default is 10. The `num_results` parameter controls this.
The query string is limited to 400 characters (approximately 50 words). The `perform_web_search` function enforces this limit.
All search results are fetched from the Google Custom Search API. No local caching or data storage is described in the README.
Authentication is handled via the Google Custom Search API key and CSE ID set as environment variables. No additional OAuth or user‑level authentication is mentioned.

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