MCP-Tavily-Web-Search-Server
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The Web Search MCP Server is designed to enable AI systems to perform real-time internet searches through the Tavily API. It offers customizable search features, including topic selection and domain filtering, providing up-to-date results during AI conversations.
Web Search MCP Server
A Model Context Protocol (MCP) server that provides a web search tool using the Tavily API. This server enables AI models to search the internet and retrieve up-to-date information.
Features
- Real-time web search capabilities
- Customizable search parameters:
- Search topic (general, news, finance)
- Search depth (basic, advanced)
- Maximum number of results
- Time range filtering (day, week, month, year)
- Domain inclusion/exclusion
Requirements
- Python 3.13+
- Tavily API key
Usage
The server operates using the stdio transport method for MCP communication, making it suitable for integration with various AI systems that support the Model Context Protocol.