perplexity-mcp-go
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A Go implementation of a Perplexity Search MCP server that allows large language models (LLMs) to access the Perplexity search API through the Model Context Protocol (MCP).
The Perplexity Search MCP Server is a robust tool designed to facilitate seamless integration between large language models (LLMs) and the Perplexity search API using the Model Context Protocol (MCP). This server, implemented in Go, enables LLMs to perform web searches and retrieve results with citations, enhancing the model's ability to provide accurate and up-to-date information. The server supports various parameters to customize search queries, including filters for recency, domain, and result types such as images and related questions. It also offers options for controlling response randomness and repetition, making it a versatile tool for developers looking to enhance their LLM's search capabilities.
Features
- perplexity_search: Perform web searches and return results, including citations.
- search_recency_filter: Filter results by time (e.g., month, week, day, hour).
- return_images: Include image links in search results.
- return_related_questions: Include related questions in search results.
- web_search_options: Configuration options for web search.
