This Perplexity MCP server, developed by Jason Allen, provides AI assistants with web search capabilities using the Perplexity AI API. Built with Python using libraries like aiohttp and pydantic, it offers a streamlined interface for performing web searches and retrieving results. The server implements environment-based configuration for API key management and uses the Model Context Protocol to standardize interactions. By abstracting the complexities of API communication, it enables AI systems to easily incorporate up-to-date web information into their workflows. This implementation is particularly valuable for applications requiring real-time access to web data, facilitating use cases such as fact-checking, research assistance, and information retrieval across various domains.
Search the web using Perplexity AI. Requires 'query' as a string argument and has an optional 'recency' parameter to filter results by time period (day/week/month/year). Returns search results from Perplexity's API.
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