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by cyanheads • Search & Retrieval
An MCP server that exposes Perplexity AI search and research capabilities to Model Context Protocol (MCP) clients for fast, search-augmented queries and deep multi-source research.
Perform quick, search-augmented queries against the web with filters for recency, domain, and academic sources.
Run exhaustive, multi-source deep research tasks and produce consolidated reports with configurable reasoning effort.
A secure, MCP-standardized bridge to Perplexity with built-in logging, authentication, and request tracking.
This server acts as a bridge between MCP-aware agents and the Perplexity AI API, providing standardized tools for quick search queries and exhaustive deep research. It implements two primary tools—perplexity_search for fast, search-augmented lookups and perplexity_deep_research for multi-source investigative reports—while offering configurable recency, domain filters, and reasoning depth. Built with strong type safety, logging, error handling, and configurable authentication (JWT/OAuth), it simplifies integrating Perplexity into agent workflows. The project is based on the mcp-ts-template and emphasizes modularity, validation, and resilience.
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