关于
This Go-based implementation of a Perplexity Search MCP server allows large language models (LLMs) to seamlessly integrate and utilize the Perplexity search API via the Model Context Protocol (MCP). It provides a bridge between LLMs and Perplexity's search capabilities, enriching the LLMs with real-time web search results and citations, enhancing their ability to provide up-to-date and accurate information. The server is easily deployable and configurable, offering extensive options for customizing search parameters.
主要功能
- Offers extensive parameterization for search queries, including temperature, top_p, and domain filtering.
- Provides options to include image links and related questions in search results.
- Performs web searches and returns results with citations.
- Supports time-based filtering of search results (e.g., month, week, day, hour).
- Supports streaming responses for incremental data delivery.
- 4 GitHub stars
使用案例
- Providing LLMs with access to up-to-date information and citations.
- Integrating real-time web search into LLM responses.
- Customizing search parameters for specific LLM application needs.
Sponsored