"Information about Tavily" matching MCP servers:

tavily-mcp

tavily-mcp

Tavily AI search API

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Enables AI coding agents to run Tavily-powered web searches and asynchronous, cited research through MCP, with tools for focused search, task creation, and status retrieval.

Enables AI assistants to search, compare, and get detailed information about MCP servers from the mcpcatalogs.com directory.

Search and retrieve detailed information about Swiss companies from the official Zefix register, including company profiles, corporate structures, and SHAB publications.

Enables AI assistants to search and retrieve transcripts from the Entra.Chat podcast about Microsoft Entra ID, with timestamped YouTube links and guest information.

MCP server for web page fetching (converting to Markdown/text with automatic fallback between Tavily and Firecrawl) and web search via Tavily.

A proxy MCP server that connects to Tavily's official Streamable HTTP MCP, managing multiple API keys and automatically switching to the next one when the current key's quota is exhausted.

A Model Context Protocol server for web scraping and searching, with automatic fallback from Tavily to Firecrawl for fetching web content.

Provides access to geographical and tourism information about Colombia, including regions, departments, cities, and tourist attractions through the API Colombia service.

Enables AI agents to perform real-time web searches and extract clean, LLM-readable content from URLs using the Tavily API.

Provides curated, meaningful information about Voi ecosystem protocols, applications, assets, and names, enabling identification and search through natural language.

An MCP server that provides access to NS (Dutch Railways) travel information.

Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.

Enables MCP clients to perform Tavily-compatible search and extract operations against a self-hosted TrailSearch/open-tavily API by using a custom base URL instead of the default Tavily endpoint.

This server enables AI systems to integrate with Tavily's search and data extraction tools, providing real-time web information access and domain-specific searches.

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.

Enables access to the Semantic Scholar Academic Graph API for searching and retrieving detailed information about academic papers, authors, citations, and references.