AIbase
EN
Explore
MCP Tavily Search
M

MCP Tavily Search

An MCP server that provides internet search capabilities for clients. Requires configuration of TAVILY_API_KEY for use.
Search toolsResearch and data#Search Service#MCP Plugin#Network Tool.Python
2 points
9

What is Tavily Search?

The Tavily Search MCP server enables users to find information on the internet using natural language queries. It leverages Tavily's advanced search capabilities to provide relevant results.

How does Tavily Search work?

To use Tavily Search, simply send a query from your MCP client, and the server will fetch results from the internet based on the request.

Ideal Use Cases

This server is suitable for users who need quick access to online information, such as researchers, students, or professionals who conduct research tasks on a daily basis.

Features

Natural Language QueriesSupports searching using plain Chinese without complex syntax.
Intelligent Result SortingAutomatically sorts search results based on relevance and context.
Multilingual SupportIn addition to Chinese, it also supports search queries in multiple other languages.

Advantages and Disadvantages

How to Use

Install the Server
Download the source code from GitHub and follow the instructions to install it.
Configure Settings
Edit the configuration file to specify the API key and other parameters.
Start the Service
Run the server program and test the basic search functionality.

Usage Examples

Frequently Asked Questions

How to configure the Tavily Search server?
Why is a Tavily API key required?
Can users without a technical background use this server?

Related Resources

Tavily Search Documentation
Official Tavily Search documentation.
GitHub Repository
Source code repository for the MCP server.
Tavily API Key Setup Guide
Instructions for obtaining and setting up the Tavily API key.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "tavily_search": {
      "command": "uv",
      "args": [
        "--directory",
        "%USERPROFILE%/Documents/GitHub/mcp-tavily-search",
        "run",
        "python",
        "main.py"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
S
Search1api
The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.
TypeScript
343
4 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
248
4 points
B
Bing Search MCP
An MCP server for integrating Microsoft Bing Search API, supporting web page, news, and image search functions, providing network search capabilities for AI assistants.
Python
229
4 points
M
Modelcontextprotocol
Certified
This project is an implementation of an MCP server integrated with the Sonar API, providing real-time web search capabilities for Claude. It includes guides on system architecture, tool configuration, Docker deployment, and multi-platform integration.
TypeScript
1.1K
5 points
B
Bilibili MCP Js
Certified
A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.
TypeScript
245
4.2 points
F
Firecrawl MCP Server
The Firecrawl MCP Server is a Model Context Protocol server integrating Firecrawl's web - scraping capabilities, providing rich web - scraping, searching, and content - extraction functions.
TypeScript
3.9K
5 points
R
Rednote MCP
RedNote MCP is a tool that provides services for accessing Xiaohongshu content. It supports functions such as authentication management, keyword - based note search, and command - line initialization, and can access note content via URL.
TypeScript
450
4.5 points
Featured MCP Services
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
86
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
565
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
282
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2025AIbase