An MCP server for searching a custom Google search engine.
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# Google Custom Search Engine MCP Server A Model Context Protocol server that provides search capabilities using a CSE (custom search engine). This server enables LLMs to provide a regular google search term and returns the found search results. The tool only returns the results itself and not the content, the tool should be combined with other servers like [mcp-server-fetch](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch) to extract the content from the search results. You may also combine it with other tools to enable some kind of "deep search" or tool chaining in general. **The free quota is 100 searches (1 tool call == 1 search) per day, if you don't want to set up billing and this is insufficient for your use case, you should consider using another server.** <a href="https://glama.ai/mcp/servers/mieczol4lv"><img width="380" height="200" src="https://glama.ai/mcp/servers/mieczol4lv/badge" alt="Google Custom Search Engine Server MCP server" /></a> [](https://smithery.ai/server/@Richard-Weiss/mcp-google-cse) ## Available Tools - `google_search` - Searches the custom search engine using the search term and returns a list of results containing the title, link and snippet of each result. - `search_term` (string, required): The search term to search for, equaling the [query parameter](https://bit.ly/AllTheOperators) `q` in the usual Google search. ## Environment variables - `API_KEY` (required): The API key for the custom search engine. - `ENGINE_ID` (required): The engine ID for the custom search engine. - `SERVICE_NAME` (required/optional): The name of the service, leave empty if you haven't changed the name (customsearch). - `COUNTRY_REGION` (optional): Restricts search results to documents originating in a particular country. See [Country Parameter Values](https://developers.google.com/custom-search/docs/json_api_reference#countryCollections) for valid value…
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