MCP TAVILY SEARCH
by y7ut
A Model Context Protocol (MCP) server that provides search functionality using the Tavily search engine. It allows you to integrate Tavily search capabilities into your MCP-based applications.
Last updated: N/A
What is MCP TAVILY SEARCH?
This is an MCP server that leverages the Tavily search engine to provide search functionalities within the Model Context Protocol ecosystem. It allows users to perform searches and retrieve relevant information from the web.
How to use MCP TAVILY SEARCH?
To use this server, first install it using go install github.com/y7ut/mcp-tavily-search@latest. Then, add the server configuration to your MCP config file, providing the necessary Tavily API key. You can run it directly or use Docker. The search_news tool is available for searching news articles.
Key features of MCP TAVILY SEARCH
Search integration with Tavily
MCP compatible
News search functionality
Configurable search parameters
Docker support
Use cases of MCP TAVILY SEARCH
Integrating news search into AI models
Providing real-time information retrieval for chatbots
Augmenting knowledge bases with up-to-date data
Enabling context-aware search within applications
FAQ from MCP TAVILY SEARCH
What is the purpose of this server?
What is the purpose of this server?
To provide search capabilities using the Tavily search engine within the Model Context Protocol environment.
How do I install this server?
How do I install this server?
Use the command go install github.com/y7ut/mcp-tavily-search@latest.
How do I configure the server?
How do I configure the server?
Add the server configuration to your MCP config file, including the Tavily API key.
What search tools are available?
What search tools are available?
The search_news tool is available for searching news articles.
What parameters can I configure for the search_news tool?
What parameters can I configure for the search_news tool?
You can configure parameters such as keyword, days, limit, search_depth, and topic.