# kshern/mcp-tavily [Health: Active]

**Category:** 🔎 Search & Data Extraction  
**Repository:** https://github.com/kshern/mcp-tavily.git  
**GitHub Stars:** 12  
**npm Downloads (last month):** 30651  
**Views:** 1  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/kshern-mcp-tavily

## Description
mcp server of tavily

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "mcp-tavily": {
    "command": "npx",
    "args": ["-y","@smithery/cli"],
    "env": {
      "TAVILY_API_KEY": ""
    }
  }
}
```

**Requires environment variables:** `TAVILY_API_KEY` — the values above are empty placeholders; fill in real credentials before running (see the repository for what each one is for).

## Documentation
This MCP server integrates the Tavily API to provide multiple search tools including basic, context-aware, and Q&A focused searches, along with content extraction from URLs. It supports extensive configuration for search depth, filtering, and content inclusion, making it suitable for applications needing rich search results and detailed content extraction. Use it when you require structured search responses or content scraping through MCP-compatible AI agents.

**Use cases:**
- Perform basic keyword searches with customizable parameters
- Execute context-aware searches for improved relevance
- Run question-and-answer focused searches
- Extract detailed content from specified URLs
- Filter search results by topic, time range, and domains

**Key features:**
- Basic, context, and Q&A search tools
- Content extraction from multiple URLs
- Configurable search depth and filtering options
- Supports inclusion of images and image descriptions
- Returns structured content with titles, URLs, and text
- Error handling with descriptive messages

_Summarized from the repository README — see the link above for the full text._