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Tomatio13_mcp-server-tavily

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Tomatio13_mcp-server-tavily is an MCP server that integrates the Tavily API to perform intelligent searches based on user-specified queries. It returns search results in a structured text format, including AI-generated responses, URIs, and titles, facilitating efficient and context-rich information retrieval. The server supports a search tool with customizable depth options (basic or advanced), making it adaptable for various search needs. Installation involves cloning the repository and configuring it within the Claude Desktop environment, enabling seamless integration with LLMs for enhanced search capabilities.

Use This MCP server To

Perform AI-enhanced web searches with query inputs Retrieve structured search results including titles and URIs Integrate advanced search depth options for detailed queries Enhance LLM workflows with real-time search data Provide contextual search responses for AI agents

README

tavily-search MCP server

A MCP server project

tavily-search MCP server

Components

This server uses the Tavily API to perform searches based on specified queries.

  • Search results are returned in text format.
  • Search results include AI responses, URIs, and titles of the search results.

Tools

This server implements the following tools:

  • search: Performs searches based on specified queries
    • Required argument: "query"
    • Optional argument: "search_depth" (basic or advanced)

Install

  1. Download the repository.
git clone https://github.com/Tomatio13/mcp-server-tavily.git
  1. Open the Claude Desktop configuration file.
On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`
On Windows: `C:\Users\[username]\AppData\Roaming\Claude\claude_desktop_config.json`
  1. Edit the configuration file as follows:
"mcpServers": {
  "tavily-search": {
    "command": "uv",
    "args": [
      "--directory",
      "C:\\your_path\\mcp-server-tavily",
      "run",
      "tavily-search"
    ],
    "env": {
      "TAVILY_API_KEY": "YOUR_TAVILY_API_KEY",
      "PYTHONIOENCODING": "utf-8"
    }
  }
}
  1. Restart Claude Desktop.

Tomatio13_mcp-server-tavily FAQ

How do I install Tomatio13_mcp-server-tavily?
Clone the repository from GitHub and configure it in the Claude Desktop config file on your OS.
What arguments does the search tool require?
The search tool requires a 'query' argument and optionally accepts 'search_depth' for basic or advanced searches.
What kind of results does this MCP server return?
It returns search results in text format including AI responses, URIs, and titles of the results.
Can I customize the search depth?
Yes, you can specify 'basic' or 'advanced' search depth to control the detail level of search results.
Is this server compatible with other LLMs besides Claude?
While designed for Claude Desktop, it can be adapted for use with other LLMs like OpenAI's GPT-4 and Anthropic's Claude.
Where can I find the source code?
The source code is available on GitHub at https://github.com/Tomatio13/mcp-server-tavily.
Does this server support real-time search queries?
Yes, it performs searches in real-time based on the queries provided by the client.
How does this server enhance AI workflows?
By providing structured, context-rich search results, it enables AI models to access up-to-date information during interactions.