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Serper

Enables LLMs to access and utilize Google Search results via the Serper API.

About

Serper acts as a Model Context Protocol (MCP) server, providing a crucial link between Large Language Models (LLMs) and real-time Google Search data. By leveraging the Serper API, this server allows LLMs to augment their knowledge and reasoning capabilities with up-to-date information retrieved directly from Google Search results. This integration facilitates more informed and contextually relevant responses from LLMs in various applications.

Key Features

  • Provides a `google_search` tool for querying Google.
  • Supports specifying country, location, and language for searches.
  • Offers debugging support with the MCP inspector.
  • Allows control over the number of results and pagination.
  • Can be easily integrated using uv or pip.
  • 1 GitHub stars

Use Cases

  • Enhancing LLM responses with real-time search results.
  • Providing context for LLMs in information retrieval tasks.
  • Enabling LLMs to perform research and fact-checking.
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