Perplexity Search MCP
by arjunkmrm
A simple Model Context Protocol (MCP) server for Perplexity's web search using the sonar or sonar-pro models. It provides a tool for AI assistants to perform web searches powered by Perplexity's API.
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What is Perplexity Search MCP?
This server is a Model Context Protocol (MCP) server designed to enable AI assistants to perform web searches using Perplexity's chat completions API with the sonar or sonar-pro models.
How to use Perplexity Search MCP?
To use this server, you need to set the PERPLEXITY_API_KEY environment variable with your Perplexity API key. Then, you can use the search tool with a query parameter and an optional search_recency_filter parameter. The server will return the search results content and citations.
Key features of Perplexity Search MCP
Provides a
searchtool for AI assistantsUses Perplexity's chat completions API
Supports sonar and sonar-pro models
Allows filtering search results by recency (month, week, day, hour)
Use cases of Perplexity Search MCP
Enabling AI assistants to answer questions that require real-time information
Providing context for AI agents to have more informed conversations
Automatically researching topics based on user input
Integrating web search functionality into AI-powered applications
FAQ from Perplexity Search MCP
What is an MCP server?
What is an MCP server?
An MCP server enables communication tools and protocols between different software systems or applications.
What models does the server support?
What models does the server support?
Currently it uses Perplexity's chat completions API, so it utilizes the sonar and sonar-pro models.
What is a Perplexity API key?
What is a Perplexity API key?
Perplexity AI is a company that creates web search models and AI based question and answering models.
Is the recency parameter compulsory?
Is the recency parameter compulsory?
no, but if you pass it, it has to be one of those filters (month, week, day, hour)
What do you do with the citations data?
What do you do with the citations data?
The citations arrays are the resources where the results were derived and should be passed to the user for verification purposes