Perplexity

About

Perplexity is an MCP (Model Context Protocol) server designed to seamlessly integrate Perplexity AI's powerful search-enhanced language models into Claude Desktop. It offers three distinct tools—`perplexity_small`, `perplexity_medium`, and `perplexity_large`—each tailored with increasing complexity to cater to a range of use cases, from quick factual queries to deep, comprehensive research. The server is built with a modern Python stack, featuring optimized responses with automatic removal of thinking tokens, robust error handling, and detailed logging for a smooth development and user experience.

Key Features

• Includes comprehensive error handling and detailed logging
• Integrates Perplexity AI's search-enhanced language models (sonar-pro, sonar-reasoning-pro, sonar-deep-research)
• Optimized responses with automatic removal of thinking tokens
• Built with FastMCP on a modern Python stack for reliability
• 1 GitHub stars
• Provides three distinct tools with progressive complexity levels

Use Cases

• Performing quick factual queries within Claude Desktop
• Conducting detailed technical analysis and explanations
• Executing deep, comprehensive research using advanced AI models