Tavily MCP Server

Introduction

The Tavily MCP server provides AI-optimized web access capabilities through a comprehensive suite of tools designed specifically for agents and LLMs. Tavily is a leading provider of web search and content extraction APIs, trusted by over 700,000 developers worldwide and backed by partnerships with major AI platforms like LangChain, Cohere, and MongoDB.

This MCP server offers four core functionalities that work together to give AI agents powerful web research capabilities. The tools are optimized for Retrieval Augmented Generation (RAG) workflows and designed to reduce hallucinations by providing accurate, real-time information from the web.

The server focuses on delivering fast, reliable access to web content through simple, agent-first APIs that handle everything from targeted searches to comprehensive website exploration.

Use Cases

Real-time Information Research

Search for current events, breaking news, or up-to-date information on any topic with customizable search parameters and source filtering.

Sample prompt: Find the latest news about Tesla's stock price and recent quarterly earnings from the past 7 days

Domain-specific Content Analysis

Extract and analyze content from specific websites or limit searches to particular domains for focused research.

Sample prompt: Search for information about machine learning trends but only include results from arxiv.org, towards data science, and academic papers

Financial Market Research

Access real-time financial information and market data using specialized financial search capabilities.

Sample prompt: Get the latest information about Apple's financial performance and analyst ratings from financial news sources in the past month

Content Extraction from Multiple Sources

Extract clean, structured content from a list of specific URLs for detailed analysis or processing.

Sample prompt: Extract the full text content from these three research paper URLs: https://arxiv.org/abs/2023.12345, https://papers.nips.cc/paper/2023/hash/abc123, https://openreview.net/forum?id=xyz789

Website Structure Discovery

Map and understand the organization of a website to identify all available pages and content sections.

Sample prompt: Map out the entire structure of the OpenAI documentation website to see all available API endpoints and guides

Comprehensive Website Content Analysis

Crawl multiple pages across a website to gather comprehensive information while respecting depth and breadth limits.

Sample prompt: Crawl the entire TensorFlow documentation website up to 3 levels deep to gather information about neural network implementation tutorials

Time-bound Research

Search for information within specific date ranges or time periods for historical analysis or trend identification.

Sample prompt: Find all articles about climate change policy published between January 2024 and March 2024 from government and academic sources

Multi-source Fact Verification

Cross-reference information across multiple sources to verify facts and reduce the risk of misinformation.

Sample prompt: Search for information about the recent Mars rover discovery and cross-check it across NASA, scientific journals, and reputable news sources

Competitive Intelligence Gathering

Research competitors, industry trends, and market positioning by crawling specific company websites and industry publications.

Sample prompt: Crawl the careers and product pages of Anthropic, OpenAI, and Google DeepMind to understand their current hiring priorities and product offerings

Academic Research Support

Gather scholarly articles, research papers, and academic content with advanced extraction capabilities for in-depth analysis.

Sample prompt: Search for peer-reviewed research papers about transformer architecture improvements published in 2024, and extract the full content from the top 5 results

Details

MCP Server URL:

https://mcp.tavily.com/mcp/?tavilyApiKey=YOUR_API_KEY

Type:

HTTP Stream

Authentication:

API key in URL parameter

How to connect this MCP server

Tools

tavily_search

Search the web for real-time information about any topic. Use this tool when you need up-to-date information that might not be available in your training data, or when you need to verify current facts. The search results will include relevant snippets and URLs from web pages. This is particularly useful for questions about current events, technology updates, or any topic that requires recent information.

tavily_extract

Extract and process content from specific web pages. Use this tool when you have URLs and need to get the full text content from those pages. Returns clean, structured content in markdown or text format. Useful for reading articles, documentation, or any web page content that you need to analyze or reference.

tavily_crawl

Crawl multiple pages from a website starting from a base URL. Use this tool when you need to gather information from multiple related pages across a website or explore a site's structure. It follows internal links and extracts content from multiple pages, but truncates content to 500 characters per page. For full content extraction, use tavily_map to discover URLs first, then tavily_extract to get complete content from specific pages. Useful for comprehensive research on documentation sites, blogs, or when you need to understand the full scope of information available on a website.

tavily_map

Map and discover the structure of a website by finding all its URLs and pages. Use this tool when you need to understand a website's organization, find specific pages, or get an overview of all available content without extracting the actual text. Returns a structured list of URLs and their relationships. Useful for site exploration, finding documentation pages, or understanding how a website is organized.