Perplexity Search MCP Server

Example Use Cases

• 1

  Perform real-time web searches with configurable parameters.

• 2

  Integrate Perplexity search results, including citations and related questions, into their responses.

• 3

  That require streaming search results or filtering by recency and domain.

Description

This MCP server provides a Go implementation that allows large language models to perform web searches using the Perplexity search API through the Model Context Protocol. It supports various search parameters including recency filters, domain filters, and options to return images or related questions. The server can be integrated with Claude and supports Docker deployment, facilitating seamless real-time search capabilities for AI agents. This enhances the ability of LLMs to retrieve up-to-date information with citations.