Official description7 sourcesMCP servers8d ago
kshern/mcp-tavily
โ๏ธ ๐ - Search via the Tavily AI search API
View on GitHub โDirect link ยท no redirect page
Config template (adjust for your client)
claude mcp add mcp-tavily -- npx -y mcp-tavily
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
- Star count
- 12 โ ยท kshern/mcp-tavily ยท read from the GitHub search API ยท (checked 2026-10-16 20:00:20)
- Source
- collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
- Harvest history
- first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร ยท listed by 7 sources
- Score
- score 703 ยท 12 โ ยท 7 sources ยท mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP ๆๅก. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
kshern/mcp-tavily๏ผfirst catalogued 2026-10-09๏ผlast seen 2026-10-16ใThere is no official certification or quality rating here โ we record sources and dates only.Third-party quality signals
MCP Tavily
ไปฅไธๆๅฝ่ช่ฏฅไปๅบ็ README๏ผ็ๆฎต๏ผ ยท ๅจ GitHub ่ฏปๅฎๆด README โ
ไธญๆๆๆกฃ
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')
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')
- Source
- awesome ยท https://github.com/kshern/mcp-tavily.git
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