Sponsored by Deepsite.site

Tavily Search MCP Server

Created By
apappascsa year ago
An MCP server implementation that integrates the Tavily Search API, providing optimized search capabilities for LLMs.
Overview

What is Tavily Search MCP Server?

Tavily Search MCP Server is an implementation that integrates the Tavily Search API, providing optimized search capabilities specifically designed for Large Language Models (LLMs).

How to use Tavily Search MCP Server?

To use the Tavily Search MCP Server, you need to clone the repository, install the necessary dependencies, and configure it with your Tavily API key. You can run the server using Node.js or Docker.

Key features of Tavily Search MCP Server?

  • Web Search: Perform optimized web searches for LLMs with customizable parameters.
  • Content Extraction: Extracts relevant content from search results for better quality and size.
  • Optional Features: Include images, descriptions, and LLM-generated answers in the results.
  • Domain Filtering: Control which domains to include or exclude in search results.

Use cases of Tavily Search MCP Server?

  1. Enhancing search capabilities for AI-driven applications.
  2. Providing tailored search results for specific topics or domains.
  3. Integrating with other LLMs to improve information retrieval.

FAQ from Tavily Search MCP Server?

  • Can I use Tavily Search MCP Server without an API key?

No, you need a Tavily API key to access the search functionalities.

  • Is there a free tier available for the Tavily API?

Yes, Tavily offers a free tier for users to get started.

  • How do I run the server using Docker?

You can build and run the Docker container using the provided commands in the setup guide.

Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
Playwright McpPlaywright MCP server
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
Amap Maps高德地图官方 MCP Server
ChatWiseThe second fastest AI chatbot™
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
CursorThe AI Code Editor
Y GuiA web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.
DeepChatYour AI Partner on Desktop
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Tavily Mcp
Serper MCP ServerA Serper MCP Server
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
WindsurfThe new purpose-built IDE to harness magic
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.