This MCP server, developed by Daniel Riccio, provides integration with the Perplexity API for advanced language understanding and generation. Built with Python and leveraging the MCP framework, it offers two main tools: ask_perplexity for expert programming assistance and chat_perplexity for ongoing conversations. The implementation focuses on maintaining chat history, supporting different Perplexity models, and providing streaming responses with progress reporting. It's particularly useful for developers and teams who want to incorporate Perplexity's language capabilities into their workflows, enabling use cases such as code debugging, technical explanations, and persistent AI-assisted conversations without directly managing API calls to Perplexity.
Request expert programming assistance through Perplexity. Focuses on coding solutions, error debugging, and technical explanations. Returns responses with source citations and alternative suggestions.
Maintains ongoing conversations with Perplexity AI. Creates new chats or continues existing ones with full history context. Returns chat ID for future continuation.
Lists all available chat conversations with Perplexity AI. Returns chat IDs, titles, and creation dates (displayed in relative time format, e.g., '5 minutes ago', '2 days ago'). Results are paginated with 50 chats per page.
Retrieves the complete conversation history for a specific chat. Returns the full chat history with all messages and their timestamps. No API calls are made to Perplexity - this only reads from local storage.
No reviews yet. Be the first to review!
Sign in to join the conversation
Highlight AI