Perplexity Search
Integrates Perplexity AI's powerful search capabilities into the Model Context Protocol (MCP) for AI agents and automated workflows.
概要
This tool serves as an MCP wrapper for Perplexity AI's search functionality, enabling AI models and automated systems to access and utilize Perplexity's continuously refreshed index. It standardizes the interaction with Perplexity's search API, allowing for advanced filtering and customization, making it easier to incorporate web, academic, and SEC search results directly into various applications.
主な機能
- Provides the `perplexity-search` tool via MCP for standardized access.
- Supports customizable search parameters including query, max results, country, and search mode.
- Offers distinct search modes: web, academic, and SEC.
- Communicates with host environments via standard input/output (Stdio).
- Developed with TypeScript and runs efficiently on the Bun runtime.
- 0 GitHub stars
ユースケース
- Automating data collection and research tasks across web, academic, and SEC sources.
- Developing advanced AI workflows that require dynamic, context-aware information retrieval.
- Integrating real-time search results from Perplexity AI into AI-driven applications and agents.
Sponsored