Enables large language models to access the Perplexity search API through the Model Context Protocol (MCP).
This Go-based implementation of a Perplexity Search MCP server allows large language models (LLMs) to seamlessly integrate and utilize the Perplexity search API via the Model Context Protocol (MCP). It provides a bridge between LLMs and Perplexity's search capabilities, enriching the LLMs with real-time web search results and citations, enhancing their ability to provide up-to-date and accurate information. The server is easily deployable and configurable, offering extensive options for customizing search parameters.
Características Principales
01Offers extensive parameterization for search queries, including temperature, top_p, and domain filtering.
02Provides options to include image links and related questions in search results.
03Performs web searches and returns results with citations.
