技能潮 SkillTide 提交收录
官方说明7 个来源MCP 服务8 天前
kshern/mcp-tavily

kshern/mcp-tavily

☁️ 📇 - Search via the Tavily AI search API
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add mcp-tavily -- npx -y mcp-tavily
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
12 ★ · kshern/mcp-tavily · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 12 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 kshern/mcp-tavily;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

MCP Tavily

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

中文文档
A Model Context Protocol (MCP) server implementation for Tavily API, providing advanced search and content extraction capabilities.
Features
- **Multiple Search Tools**:
- search: Basic search functionality with customizable options
- searchContext: Context-aware search for better relevance
- searchQNA: Question and answer focused search
- **Content Extraction**: Extract content from URLs with configurable options
- **Rich Configuration Options**: Extensive options for search depth, filtering, and content inclusion
Usage with MCP
Add the Tavily MCP server to your MCP configuration:
> Note: Make sure to replace your-api-key with your actual Tavily API key. You can also set it as an environment variable TAVILY_API_KEY before running the server.
API Reference
Search Tools
The server provides three search tools that can be called through MCP:
1. Basic Search
2. Context Search
3. Q&A Search
Extract Tool
Search Options
All search tools share these options:
Extract Options
Response Format
All tools return responses in the following format:
For search results, each item includes:
- Title
- Content
- URL
For extracted content, each item includes:
- URL
- Raw content
- Failed URLs list (if any)
Error Handling
All tools include proper error handling and will throw descriptive error messages if something goes wrong.
Installation
Installing via Smithery
To install Tavily API Server for Claude Desktop automatically via Smithery:
Manual Installation
Or use it directly with npx:
Prerequisites
- Node.js 16 or higher
- npm or yarn
- Tavily API key (get one from Tavily)
Setup
1. Clone the repository
2. Install dependencies:
3. Set your Tavily API key:
Building
Debugging with MCP Inspector
For development and debugging, we recommend using MCP Inspector, a powerful development tool for MCP servers.
The Inspector provides a user interface for:
- Testing tool calls
- Viewing server responses
- Debugging tool execution
- Monitoring server state
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
来源
awesome · https://github.com/kshern/mcp-tavily.git
按领域浏览
MCP 服务
Traction
12 ★
收录于
昨天

更多MCP 服务

查看MCP 服务全部 5,525 条 →

所属领域与标签

每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。

浏览全部领域 →

← 返回索引