Perplexity
Integrates Perplexity AI's search-enhanced language models with Claude Desktop, providing tools with progressive complexity.
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