mcp-tavily-search
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A Model Context Protocol (MCP) server for integrating Tavily's search API with LLMs, providing intelligent web search capabilities optimized for high-quality, factual results.
The mcp-tavily-search server is designed to integrate Tavily's search API with large language models (LLMs) to provide advanced web search capabilities. It is optimized for delivering high-quality, factual results and includes features such as context generation for retrieval-augmented generation (RAG) applications and direct question answering. Although this repository is no longer maintained, its functionality is now available in the mcp-omnisearch package, which combines multiple MCP tools into one unified package. The server supports various response formats and is built on the Model Context Protocol, ensuring structured result formatting optimized for LLMs.
Features
- Advanced web search capabilities through Tavily API
- AI-generated summaries of search results
- Domain filtering for higher quality results
- Configurable search depth and parameters
- Context generation for RAG applications
Tools
tavily_search
Use the Tavily Search API to optimize high-quality, factual results
tavily_get_search_context
Generate context for RAG applications
tavily_qna_search
Use Tavily Search to answer questions directly
