About MCP Tavily Search
MCP Tavily Search is an MCP server that gives clients access to internet search. It requires a `TAVILY_API_KEY` configured in an `.env` file.
Key features
- 01Search the internet through Tavily
- 02Connect through MCP configuration
- 03Configure access with `TAVILY_API_KEY`
Use cases
- 01Search the web from an MCP client
- 02Provide internet search for an MCP-connected workflow
MCP support
The server exposes internet search to MCP clients. It is configured in the MCP configuration file and requires `TAVILY_API_KEY` in `.env`.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEmcp-tavily-search
MCP server to give client the ability to search on the internet
Usage
For this MCP server to work, add the following configuration to your MCP config file:
{
"mcpServers": {
"tavily_search": {
"command": "uv",
"args": [
"--directory",
"%USERPROFILE%/Documents/GitHub/mcp-tavily-search",
"run",
"python",
"main.py"
]
}
}
}
Also provide TAVILY_API_KEY in .env
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.