T

Tavily Search Yyk

MCP TAVILY SEARCH is a service based on the Model Context Protocol (MCP) that provides search functionality through Tavily. It supports quick installation and configuration, can be run via the command line or Docker, and provides debugging tools. The main functions include news search, supporting parameter configuration such as keywords, time ranges, and quantity limits.
2 points
17

What is MCP Tavily Search?

MCP Tavily Search is a server that integrates with Tavily's search API to provide aggregated services for news, social media, and web content. Users can obtain relevant information through simple text queries.

Main Features

The server supports multiple output formats, including JSON and Markdown, and can be customized and extended according to user needs.

Features

Multi-source AggregationAggregate information from multiple sources (such as news websites and social media platforms).
Diverse FormatsSupport multiple output formats, including JSON and Markdown.
Highly ScalableNew data sources or functional modules can be added according to requirements.

Advantages and Disadvantages

How to Use

Usage Examples

Frequently Asked Questions

How to obtain a Tavily API key?
What are the limitations of the free tier?
How to handle error messages?

Related Resources

Tavily API Documentation
The official documentation for the Tavily API.
Model Context Protocol (MCP)
Learn about the MCP framework.
GitHub Repository
Source code and issue tracking.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "tavily": {
      "command": "mcp-tavily-search",
      "args": [
        "run",
        "tvly-*******************"
      ]
    }
  }
}

{
  "mcpServers": {
    "tavily": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "docker.ijiwei.com/mcp/mcp-tavily-search:latest",
        "run",
        "tvly-*******************"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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