tavily-mcp-python

tavily-mcp-python

Tavily MCP Server implementation that uses fastmcp and supports both sse and stdio transports. It also supports more up to date functionalities of Tavily.

Category
访问服务器

Tools

tavily-search

A powerful web search tool that provides comprehensive, real-time results using Tavily's AI search engine. Returns relevant web content with customizable parameters for result count, content type, and domain filtering. Ideal for gathering current information, news, and detailed web content analysis.

tavily-extract

A powerful web content extraction tool that retrieves and processes raw content from specified URLs, ideal for data collection, content analysis, and research tasks.

tavily-crawl

A powerful web crawler that initiates a structured web crawl starting from a specified base URL. The crawler expands from that point like a tree, following internal links across pages. You can control how deep and wide it goes, and guide it to focus on specific sections of the site.

tavily-map

A powerful web mapping tool that creates a structured map of website URLs, allowing you to discover and analyze site structure, content organization, and navigation paths. Perfect for site audits, content discovery, and understanding website architecture.

README

Tavily MCP Server

Tavily MCP Server implementation that uses fastmcp and supports both sse and stdio transports. To use this server, you need a Tavily account and a Tavily API key, which must be loaded into the TAVILY_API_KEY environment variable.

The Tavily MCP server provides:

  • search, extract, map, crawl tools
  • Real-time web search capabilities through the tavily-search tool
  • Intelligent data extraction from web pages via the tavily-extract tool
  • Powerful web mapping tool that creates a structured map of website
  • Web crawler that systematically explores websites

Prerequisites

  • git installed. (To clone the repo)
  • uv installed.
  • docker installed (Optional: If you are planning to use the SSE server inside a docker container).

To install uv in Linux and MacOS type this in your terminal:

curl -LsSf https://astral.sh/uv/install.sh | sh

Environment Variables

Copy the .env.example file and rename that to .env. Then paste your TAVILY_API_KEY inside there

TAVILY_API_KEY=<YOUR-API-KEY>

Optional: You can also configure the port if you are planning to use SSE.

TAVILY_MCP_PORT=<PORT>

Running the SSE server

While inside the repo run:

uv run --env-file .env tavily-mcp-sse

Running on STDIO

{
  "mcpServers": {
    "tavily-mcp-server": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "<LOCATION-TO-THE-REPO>",
        "tavily-mcp-stdio"
      ],
      "env": {
        "TAVILY_API_KEY": "<YOUR-API-KEY>"
      }
    }
  }
}

Docker SSE Server

First you need to build the image using the Dockerfile inside this repository. Run this to build the image:

docker build -t tavily-mcp .

Then you can run the container using the environment variables inside the env file

docker run --name tavily-mcp \
  -p 127.0.0.1:8000:8000 \
  --env-file .env \
  tavily-mcp

Or you can specify the environment variables yourself.

docker run --name tavily-mcp \
  -p 127.0.0.1:8000:8000 \
  -e TAVILY_API_KEY=<YOUR-API-KEY>
  tavily-mcp

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选