perplexity-mcp

📋 Overview:

This webpage provides information about the "perplexity-mcp" GitHub repository created by jsonallen. It describes a Model Context Protocol (MCP) server designed to provide web search capabilities through the Perplexity AI API, primarily for use with the Anthropic Claude desktop client and also with Cursor, including instructions for installation and setup.

⭐ Key Points:

• The repository hosts an MCP server integrating Perplexity AI for web search.


• The server is intended for use with the Anthropic Claude desktop client.


• It uses the Model Context Protocol


• It also provides an installation guide for using perplexity-mcp with Cursor.


• Installation typically involves using UV, a Python package manager.


• An API key from Perplexity AI is required for the server to function.


• An optional environment variable can be set to specify the Perplexity model being used.


• Glama AI badges is used to show the code quality


• MIT license applies to it


🔍 Main Findings:

• The "perplexity-mcp" server enables web searches within the Anthropic Claude desktop client using the Perplexity AI API.


• The project provides specific prompts, tools, and installation guidelines for integrating the server.


📊 Details:

• The MCP server uses the `perplexitysearchweb` prompt for searching.


• The prompt requires a "query" argument and accepts an optional "recency" argument to filter search results by time periods ('day', 'week', 'month', 'year').


• The available Perplexity models can be set by the user using `PERPLEXITY_MODEL` environment variable.


• Installation instructions guide users through setting up the required environment variables (specifically the Perplexity AI API key) and configuring Claude desktop or Cursor to use the MCP server.


• There are four contributors.


• There are fifty stars


• There are four forks

🎯 Conclusion:
The "perplexity-mcp" repository offers a tool to enhance the Anthropic Claude desktop client and Cursor with web search functionality, leveraging the Perplexity AI API. The project provides the necessary components, installation steps, and configuration details for users to integrate this functionality into their AI workflows.