A Model Context Protocol (MCP) compliant server designed for comprehensive web research. It uses Tavily's Search and Crawl APIs to gather detailed information on a given topic, then structures this data in a format perfect for LLMs to create high-quality markdown documents.
A simple Tavily Search MCP Server implementation
A Model Context Protocol (MCP) server that provides a web search tool using the Tavily API. This server enables AI models to search the internet and retrieve up-to-date information.
Basic remote SSE MCP server for Tavily Search.
A Rust implementation of the Model Control Protocol (MCP) server that integrates Tavily's powerful search and web content extraction capabilities. This server enables AI agents and LLM systems to perform real-time web searches and extract content from URLs via a standardized JSON-RPC interface, making it ideal for building AI tools.
MCP Tavily server implementation
🚀 OneSearch MCP Server: Web Search & Scraper & Extract, Support Firecrawl, SearXNG, Tavily, DuckDuckGo, Bing, etc.
🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.
MCP server to give client the ability to extract a web page
MCP server to give client the ability to search on the internet
一个MCP服务器，让你的Claude Cline以及Langchain实现网络搜索功能。An MCP server that allows your Claude Cline and Langchain to implement network search functions.
Mirror of
An MCP server implementation that integrates the Tavily Search API, providing optimized search capabilities for LLMs.
An MCP server for Tavily's search API