Rizel Scarlett
124 lines
4.8 KiB
Markdown
124 lines
4.8 KiB
Markdown
---
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title: Tavily Web Search Extension
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description: Add Tavily MCP Server as a goose Extension
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---
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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import YouTubeShortEmbed from '@site/src/components/YouTubeShortEmbed';
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import GooseDesktopInstaller from '@site/src/components/GooseDesktopInstaller';
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import CLIExtensionInstructions from '@site/src/components/CLIExtensionInstructions';
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<YouTubeShortEmbed videoUrl="https://youtube.com/embed/mxS2G9afGxE" />
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This tutorial covers how to add the [Tavily Web Search MCP Server](https://github.com/tavily-ai/tavily-mcp) as a goose extension to enable AI-powered web search functionality.
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:::tip Quick Install
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<Tabs groupId="interface">
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<TabItem value="ui" label="goose Desktop" default>
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[Launch the installer](goose://extension?cmd=npx&arg=-y&arg=tavily-mcp&id=tavily&name=Tavily%20Web%20Search&description=Search%20the%20web%20with%20Tavily%20MCP&env=TAVILY_API_KEY%3DTavily%20API%20Key)
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</TabItem>
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<TabItem value="cli" label="goose CLI">
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**Command**
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```sh
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npx -y tavily-mcp
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```
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</TabItem>
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</Tabs>
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**Environment Variable**
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```
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TAVILY_API_KEY: <YOUR_API_KEY>
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```
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:::
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## Configuration
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:::info
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Note that you'll need [uv](https://docs.astral.sh/uv/#installation) installed on your system to run this command, as it uses `uvx`.
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:::
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<Tabs groupId="interface">
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<TabItem value="ui" label="goose Desktop" default>
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<GooseDesktopInstaller
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extensionId="tavily"
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extensionName="Tavily Web Search"
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description="Search the web with Tavily MCP"
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command="npx"
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args={["-y", "tavily-mcp"]}
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envVars={[
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{ name: "TAVILY_API_KEY", label: "Tavily API Key" }
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]}
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apiKeyLink="https://tavily.com/"
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apiKeyLinkText="Tavily API Key"
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/>
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</TabItem>
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<TabItem value="cli" label="goose CLI">
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<CLIExtensionInstructions
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name="Tavily Web Search"
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description="Search the web with Tavily MCP"
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command="npx -y tavily-mcp"
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envVars={[
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{ key: "TAVILY_API_KEY", value: "▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪" }
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]}
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infoNote={
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<>
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Obtain your <a href="https://tavily.com/" target="_blank" rel="noopener noreferrer">Tavily API Key</a> and paste it in. You can get your API key by signing up at <a href="https://app.tavily.com/" target="_blank" rel="noopener noreferrer">tavily.com</a> and navigating to your account settings.
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</>
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}
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/>
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</TabItem>
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</Tabs>
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## Example Usage
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The Tavily MCP server enables AI-powered web search functionality in your goose interactions. When you obtain your API key, you'll have access to Tavily's advanced search capabilities including:
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1. Real-time web search
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2. Structured data extraction
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3. Content analysis
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4. Topic-specific search
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### goose Prompt
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```
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Search for recent news about artificial intelligence breakthroughs in medicine and summarize the key findings.
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```
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### goose Output
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```
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I'll use the Tavily news search tool to find recent news about AI breakthroughs in medicine.
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─── tavily_news_search | tavily ──────────────────────────
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max_results: 5
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query: ...
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Let me summarize the key findings from the recent news about AI in medicine:
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1. Personalized AI-Driven Healthcare:
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- Development of AI systems that act as "personal doctors" that work alongside human clinicians rather than replacing them
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- Focus on augmenting clinical capabilities while maintaining human oversight
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2. Breakthrough in Medical Imaging:
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- A significant advancement in CT scan analysis has been reported in Nature
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- Development of a "Unified total-body CT image" (Uni-CT) algorithm that:
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- Automatically generates single series of total-body CT images
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- Concatenates multiple images of segmented organs using organ-specific window settings
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- Reduces diagnosis time by 35% without compromising accuracy
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- Improves efficiency in trauma cases
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3. Future Trends:
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- Movement toward democratized AI in healthcare, potentially reducing the gap between large and small healthcare providers
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- Development of hyper-personalized medical experiences powered by AI
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- Integration of AI systems that can perform human-like reasoning in medical contexts
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The most concrete breakthrough appears to be in medical imaging, with the Uni-CT algorithm showing promising results in improving both the speed and accuracy of trauma diagnosis. This represents a practical application of AI that could have immediate benefits in emergency medicine.
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Would you like me to search for more specific information about any of these developments or explore other areas of AI in medicine?
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```
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:::tip
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You can adjust the [search parameters](https://github.com/tavily-ai/tavily-mcp#tavily-search-examples) for different types of queries and depths of information. The extension supports both quick searches and comprehensive research.
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::: |