mcp-tavily
SearchContentExtractionApiNlpInformationRetrievalTavilyMcpPythonJavascriptGoRubyR
Server Information
š Overview:
ā Key Points:
šÆ Conclusion:
The "mcp-tavily" repository hosts an MCP server enabling integration with the Tavily API, equipped with versatile search and content extraction capabilities. The provided documentation facilitates easy installation, usage, and contribution.
The webpage is a GitHub repository for a Model Context Protocol (MCP) server called "mcp-tavily," developed by kshern. It provides an interface for the Tavily API, offering advanced search and content extraction capabilities. The repository includes installation instructions, API references, contribution guidelines, and license information.
ā Key Points:
- The repository contains an MCP server for the Tavily API.
- The server offers search and content extraction tools.
- Installation can be done manually or via Smithery.
- Contributions are welcomed.
- The project uses the MIT License.
- MCP Inspector is recommended for debugging.
- The project is a server implementation that integrates the Tavily API into the Model Context Protocol.
- It provides multiple search tools and content extraction functionalities.
- The README offers detailed instructions for installation, usage, API references, and guidelines for contribution.
- The server exposes three search tools: basic search, context search, and Q&A search, each with configurable options.
- The extract tool allows extracting content from URLs with adjustable extraction depth and image inclusion options.
- API usage examples and data structures are included in the documentation.
- Installation prerequisites: Node.js 16+, npm/yarn, and Tavily API key.
- A breakdown of files in the repository
š Main Findings:
š Details:
šÆ Conclusion:
The "mcp-tavily" repository hosts an MCP server enabling integration with the Tavily API, equipped with versatile search and content extraction capabilities. The provided documentation facilitates easy installation, usage, and contribution.
Server Features
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
Provider Information
Kshern
cloud Provider
Quick Actions
MCP Configuration
Available Tools
searchsearchContextsearchQNAextract