Tavily
A comprehensive search API for real-time web search, data extraction, and crawling, requiring a Tavily API key.
Tavily MCP Server
Tavily MCP Server implementation that uses fastmcp and supports both sse and stdio transports. To use this server, you need a Tavily account and a Tavily API key, which must be loaded into the TAVILY_API_KEY environment variable.
The Tavily MCP server provides:
- search, extract, map, crawl tools
- Real-time web search capabilities through the tavily-search tool
- Intelligent data extraction from web pages via the tavily-extract tool
- Powerful web mapping tool that creates a structured map of website
- Web crawler that systematically explores websites
Prerequisites
- git installed. (To clone the repo)
- uv installed.
- docker installed (Optional: If you are planning to use the SSE server inside a docker container).
To install uv in Linux and MacOS type this in your terminal:
curl -LsSf https://astral.sh/uv/install.sh | sh
Environment Variables
Copy the .env.example file and rename that to .env. Then paste your TAVILY_API_KEY inside there
TAVILY_API_KEY=<YOUR-API-KEY>
Optional: You can also configure the port if you are planning to use SSE.
TAVILY_MCP_PORT=<PORT>
Running the SSE server
While inside the repo run:
uv run --env-file .env tavily-mcp-sse
Running on STDIO
{
"mcpServers": {
"tavily-mcp-server": {
"command": "uv",
"args": [
"run",
"--directory",
"<LOCATION-TO-THE-REPO>",
"tavily-mcp-stdio"
],
"env": {
"TAVILY_API_KEY": "<YOUR-API-KEY>"
}
}
}
}
Docker SSE Server
First you need to build the image using the Dockerfile inside this repository. Run this to build the image:
docker build -t tavily-mcp .
Then you can run the container using the environment variables inside the env file
docker run --name tavily-mcp \
-p 127.0.0.1:8000:8000 \
--env-file .env \
tavily-mcp
Or you can specify the environment variables yourself.
docker run --name tavily-mcp \
-p 127.0.0.1:8000:8000 \
-e TAVILY_API_KEY=<YOUR-API-KEY>
tavily-mcp
相關伺服器
Unified Search MCP Server
Provides unified search capabilities across Google Scholar, Google Web Search, and YouTube.
WHOIS MCP Server
A WHOIS server for checking domain availability using the Chinaz API.
Ferengi Rules of Acquisition
Provides the Ferengi Rules of Acquisition with powerful search and retrieval capabilities.
Agntic AI for Research Papers
Search and extract information about research papers from arXiv.
Wikimedia Image Search
MCP server that enables AI assistants to search Wikimedia Commons images with metadata and visual thumbnails.
idea-reality-mcp
Pre-build reality check for AI agents. Scans GitHub, HN, npm, PyPI & Product Hunt — returns a 0-100 signal.
Mapbox
Unlock geospatial intelligence through Mapbox APIs like geocoding, POI search, directions, isochrones and more.
DigiKey
Search for electronic components and products using the DigiKey Product Search API.
MCP Domain Availability Checker
Check the availability of domain names across over 50 popular TLDs using DNS and WHOIS verification.
Wikipedia
Retrieves information from Wikipedia to provide context to Large Language Models (LLMs).