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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