Tavily Web Search 扩展

🎥Plug & Play

Watch the demo

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本教程介绍如何把 Tavily Web Search MCP 服务器 添加为 goose 扩展，以启用 AI 驱动的网页搜索。

快速安装

goose Desktop

启动安装程序

goose CLI

命令

npx -y tavily-mcp

环境变量

TAVILY_API_KEY: <YOUR_API_KEY>

配置

信息

运行此命令需要系统已安装 uv，因为会用到 uvx。

goose Desktop

1. Launch the installer
2. Click Yes to confirm the installation
3. Get your Tavily API Key and paste it in
4. Click Add Extension
5. Click the button in the top-left to open the sidebar
6. Navigate to the chat

goose CLI

1. Run the configure command:

goose configure

2. Choose to add a Command-line Extension.

┌   goose-configure
│
◇  What would you like to configure?
│  Add Extension
│
◆  What type of extension would you like to add?
│  ○ Built-in Extension
│  ● Command-line Extension (Run a local command or script)
│  ○ Remote Extension (Streamable HTTP)
└

3. Give your extension a name.

┌   goose-configure 
│
◇  What would you like to configure?
│  Add Extension
│
◇  What type of extension would you like to add?
│  Command-line Extension
│
◆  What would you like to call this extension?
│  Tavily Web Search
└

4. Enter the command to run when this extension is used.

┌   goose-configure 
│
◇  What would you like to configure?
│  Add Extension
│
◇  What type of extension would you like to add?
│  Command-line Extension 
│
◇  What would you like to call this extension?
│  Tavily Web Search
│
◆  What command should be run?
│  npx -y tavily-mcp
└

5. Enter the number of seconds goose should wait for actions to complete before timing out. Default is 300 seconds.

┌   goose-configure 
│
◇  What would you like to configure?
│  Add Extension
│
◇  What type of extension would you like to add?
│  Command-line Extension
│
◇  What would you like to call this extension?
│  Tavily Web Search
│
◇  What command should be run?
│  npx -y tavily-mcp
│
◆  Please set the timeout for this tool (in secs):
│  300
└

6. Enter a description for this extension.

┌   goose-configure 
│
◇  What would you like to configure?
│  Add Extension
│
◇  What type of extension would you like to add?
│  Command-line Extension
│
◇  What would you like to call this extension?
│  Tavily Web Search
│
◇  What command should be run?
│  npx -y tavily-mcp
│
◇  Please set the timeout for this tool (in secs):
│  300
│
◆  Enter a description for this extension:
│  Search the web with Tavily MCP
└

7. Add an environment variable for this extension.

信息

Obtain your Tavily API Key and paste it in. You can get your API key by signing up at tavily.com and navigating to your account settings.

┌   goose-configure 
│
◇  What would you like to configure?
│  Add Extension
│
◇  What type of extension would you like to add?
│  Command-line Extension
│
◇  What would you like to call this extension?
│  Tavily Web Search
│
◇  What command should be run?
│  npx -y tavily-mcp
│
◇  Please set the timeout for this tool (in secs):
│  300
│
◇  Enter a description for this extension:
│  Search the web with Tavily MCP
│
◆  Would you like to add environment variables?
│  Yes
│
◇  Environment variable name:
│  TAVILY_API_KEY
│
◇  Environment variable value:
│  ▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪
│
◇  Add another environment variable?
│  No
│
└  Added Tavily Web Search extension

使用示例

Tavily MCP 服务器让 goose 的交互具备 AI 驱动的网页搜索。拿到 API 密钥后，可以使用 Tavily 的高级搜索能力，包括：

1. 实时网页搜索
2. 结构化数据提取
3. 内容分析
4. 按主题搜索

goose 提示词

搜索人工智能在医学领域突破的近期新闻，并总结关键发现。

goose 输出

我用 Tavily 新闻搜索工具查找人工智能在医学领域突破的近期新闻。

─── tavily_news_search | tavily ──────────────────────────
max_results: 5
query: ...



根据近期新闻，人工智能在医学领域的关键发现如下：

1. 个性化的 AI 驱动医疗：
- 开发充当「个人医生」的 AI 系统，与人类临床医生协作，而不是取代他们
- 重点是增强临床能力，同时保留人工监督

2. 医学影像的突破：
- Nature 报道了 CT 扫描分析的一项重要进展
- 开发了「统一全身 CT 图像」（Uni-CT）算法，它能够：
  - 自动生成单套全身 CT 图像序列
  - 用器官特定的窗位设置拼接多个分段器官图像
  - 在不牺牲准确度的情况下把诊断时间缩短 35%
  - 提高创伤病例的效率

3. 未来趋势：
- 医疗 AI 走向普及，可能缩小大型和小型医疗机构之间的差距
- 由 AI 驱动的超个性化医疗体验
- 集成能在医疗场景中进行类人推理的 AI 系统

最具体的突破出现在医学影像。Uni-CT 算法在提高创伤诊断的速度和准确度上都有不错的结果。这是 AI 的一项实际应用，可能立刻惠及急诊医学。

需要我针对其中某项进展再搜更具体的信息，或看看医学领域 AI 的其他方向吗？

提示

你可以针对不同类型的查询和信息深度调整搜索参数。该扩展同时支持快速搜索和全面调研。