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Perplexity Search

@arjunkmrmon 9 months ago
5 MIT
FreeCommunity
AI Systems
A simple MCP server for Perplexity's web search, supporting sonar or sonar-pro.

Overview

What is Perplexity Search

Perplexity-search is a simple Model Context Protocol (MCP) server designed for Perplexity’s web search capabilities, utilizing the sonar or sonar-pro models.

Use cases

Use cases include enhancing AI assistants with web search capabilities, providing users with up-to-date information, and supporting research activities by retrieving relevant content from the web.

How to use

To use perplexity-search, you need to provide a search query as input. Optionally, you can filter results by recency using the ‘search_recency_filter’ parameter. Ensure you have your Perplexity API key set as an environment variable.

Key features

Key features include a ‘search’ tool for AI assistants, integration with Perplexity’s chat completions API, and the ability to filter search results based on recency.

Where to use

Perplexity-search can be used in various fields such as AI development, web search applications, and any context requiring real-time information retrieval.

Content

Perplexity Search MCP

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A simple Model Context Protocol (MCP) server for Perplexity’s web search with sonar or sonar-pro.

Features

  • Provides a search tool for AI assistants to perform web searches
  • Uses Perplexity’s chat completions API with the sonar/sonar-pro models

Tool: search

The server provides a search tool with the following input parameters:

  • query (required): The search query to perform
  • search_recency_filter (optional): Filter search results by recency (options: month, week, day, hour). If not specified, no time filtering is applied.

Configuration

Environment Variables

  • PERPLEXITY_API_KEY: Your Perplexity API key (required)

Response Format

The response from the search tool includes:

  • content: The search results content
  • citations: Array of citations for the information

License

MIT

Tools

No tools

Comments

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