A web search and extraction MCP server powered by Tavily, providing tools for AI-powered search, content extraction from URLs, and Q\&A with source citations.
MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.
A typed FastMCP server that wraps Tavily's web research API, providing tools for search, extract, map, crawl, and research workflows via MCP with prompts and resources.
Provides AI assistants with real-time web search capabilities, intelligent data extraction from web pages, website mapping, and web crawling through Tavily's API.
Tavily MCP Server implementation that uses fastmcp and supports both sse and stdio transports. It also supports more up to date functionalities of Tavily.
Provides AI assistants with real-time web search, intelligent data extraction from web pages, website mapping, and web crawling capabilities through Tavily's API. Enables comprehensive web research and content analysis through natural language interactions.
Enables web search capabilities through the Tavily API, allowing users to search the internet for information using natural language queries. Serves as a demonstration and educational project for building MCP servers with external API integrations.
Enables web search capabilities through the Tavily API, allowing users to perform web searches and retrieve information from the internet. Includes additional Polygon API integration for enhanced functionality.
Enables web search capabilities through the Tavily API, allowing users to perform web searches and retrieve information from the internet through natural language queries.
Enables web search capabilities through the Tavily API, allowing users to search the web for information using natural language queries. Demonstrates MCP (Model Context Protocol) server implementation with stdio transport mode.