perplexity-mcp-zerver
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Perplexity MCP Zerver is a research-level Model Context Protocol server that provides AI-powered research capabilities by interacting with the Perplexity website without requiring an API key.
Perplexity MCP Zerver is a server implementation designed to facilitate AI-driven research by leveraging the Perplexity website. It operates without the need for an API key, instead utilizing web interactions to perform tasks such as web searches, documentation retrieval, and code analysis. The server is implemented in TypeScript and uses Puppeteer for browser automation, allowing it to interact with web pages as a human would. This approach enables the server to maintain a persistent chat history, extract content from URLs, and evaluate APIs based on specific requirements. The server is particularly useful for developers and researchers who need to access and analyze information from the web in a structured and automated manner.
Features
- Web search integration via Perplexity's web interface.
- Persistent chat history for conversational context.
- Tools for documentation retrieval, API finding, and code analysis.
- No API Key required (relies on web interaction).
- TypeScript-first implementation using Puppeteer for browser automation.
Tools
Search
Perform search queries on Perplexity.ai, support
brief,normalordetailedresponseGet Documentation
Request Perplexity to provide documentation and examples for technology/library
Find APIs
Find and evaluate APIs based on requirements and context
Check Deprecated Code
Analyze abandoned features in code snippets
Extract URL Content
Extract main content text from URL, support recursive link exploration
Chat
Continuous conversation with Perplexity AI, locally store chat history
