What is Mcp Tavily Proxy

mcp-tavily-proxy is a Model Context Protocol server that enhances AI-powered web search capabilities using Tavily’s search API, with support for HTTP/HTTPS proxy configurations.

Use cases

Use cases include performing comprehensive web searches, generating direct answers with supporting evidence, and searching for recent news articles with AI-extracted relevant content.

How to use

To use mcp-tavily-proxy, install it via pip or build from source. Configure the server with your API key and set up any necessary proxy settings through environment variables.

Key features

Key features include original Tavily MCP Server functionalities, HTTP/HTTPS proxy support, enhanced logging for proxy configurations, and robust error handling for proxy-related issues.

Where to use

mcp-tavily-proxy can be used in various fields such as AI research, web scraping, news aggregation, and any application requiring sophisticated web search capabilities.

Tavily MCP Server with Proxy Support

A Model Context Protocol server that provides AI-powered web search capabilities using Tavily’s search API, with added support for HTTP/HTTPS proxy configurations. This server enables LLMs to perform sophisticated web searches through proxy servers, get direct answers to questions, and search recent news articles with AI-extracted relevant content.

Features

• All original Tavily MCP Server features
• HTTP/HTTPS proxy support through environment variables
• Enhanced logging for proxy configurations
• Robust error handling for proxy-related issues

Available Tools

• tavily_web_search - Performs comprehensive web searches with AI-powered content extraction.

  • query (string, required): Search query
  • max_results (integer, optional): Maximum number of results to return (default: 5, max: 20)
  • search_depth (string, optional): Either “basic” or “advanced” search depth (default: “basic”)

• tavily_answer_search - Performs web searches and generates direct answers with supporting evidence.

  • query (string, required): Search query
  • max_results (integer, optional): Maximum number of results to return (default: 5, max: 20)
  • search_depth (string, optional): Either “basic” or “advanced” search depth (default: “advanced”)

• tavily_news_search - Searches recent news articles with publication dates.

  • query (string, required): Search query
  • max_results (integer, optional): Maximum number of results to return (default: 5, max: 20)
  • days (integer, optional): Number of days back to search (default: 3)

Installation

Use pip

pip install mcp-tavily-proxy

or if you have uv installed:

uv pip install mcp-tavily-proxy

Build from Source

Clone this repository and build and install the program:

git clone https://github.com/tulong66/mcp-tavily-proxy.git
cd mcp-tavily-proxy
uv build
uv pip install .

Configuration

API Key and Proxy Settings

The server requires a Tavily API key and supports proxy configuration through environment variables:

1. Set required environment variables:

# Tavily API Key
export TAVILY_API_KEY=your_api_key_here

# Proxy Settings (if needed)
export HTTP_PROXY=http://your-proxy:port
export HTTPS_PROXY=http://your-proxy:port

2. Or provide API key as a command-line argument:

python -m mcp_server_tavily --api-key=your_api_key_here

Configure for Claude.app

Add to your Claude settings:

{
  "mcpServers": {
    "tavily": {
      "command": "python",
      "args": [
        "-m",
        "mcp_server_tavily"
      ]
    },
    "env": {
      "TAVILY_API_KEY": "your_api_key_here",
      "HTTP_PROXY": "http://your-proxy:port",
      "HTTPS_PROXY": "http://your-proxy:port"
    }
  }
}

Examples

For a regular search:

Tell me about Anthropic's newly released MCP protocol

To generate a report with explicit exclusions:

Tell me about redwood trees. Please use MLA format in markdown syntax and include the URLs in the citations. Exclude Wikipedia sources.

For news search:

Give me the top 10 AI-related news in the last 5 days

Debugging

Enable debug logging to see detailed proxy configuration information:

export TAVILY_LOG_LEVEL=DEBUG
python -m mcp_server_tavily

You can also use the MCP inspector:

npx @modelcontextprotocol/inspector python -m mcp_server_tavily

Contributing

Contributions are welcome! Please feel free to submit pull requests to help improve the proxy support or add new features.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

This project is based on the original mcp-tavily with added proxy support functionality.