Perplexity Search
Integrates with Perplexity's web search API to enable real-time fact-checking, research, and content generation using up-to-date i
This MCP server, developed by Scott Spence, provides an interface for performing Perplexity web searches. Built using TypeScript and leveraging the Model Context Protocol SDK, it offers tools for querying the Perplexity search API and returning results in customizable formats. The implementation focuses on flexibility, allowing for JSON or Markdown output and customizable prompt templates. It's particularly useful for AI assistants needing up-to-date web information, enabling use cases like fact-checking, research assistance, or generating content with current data without requiring direct web access or parsing HTML.
Source
Repository: https://github.com/spences10/mcp-perplexity-search
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