Enables LLM agents to access Perplexity's search-augmented AI capabilities via the Model Context Protocol.
Sponsored
This server provides tools to interact with the Perplexity AI API, allowing AI agents compatible with the Model Context Protocol (MCP) to leverage Perplexity's search-augmented query capabilities. Includes a showThinking parameter to enable reasoning models to show their internal reasoning process, facilitating transparent and insightful AI interactions.
Key Features
01Modular architecture for easy extensibility
02Robust error handling for reliable operation
03Transparent reasoning with the showThinking parameter
04Secure input validation to prevent vulnerabilities
05Type safety ensured by TypeScript
060 GitHub stars
Use Cases
01Enhance LLM agents with real-time, search-augmented knowledge
02Enable reasoning models to display their internal thought processes
03Integrate Perplexity AI's search capabilities into MCP-compatible systems
