defuddle-fetch-mcp-server
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The Defuddle Fetch MCP Server is a Model Context Protocol server that enhances web content fetching capabilities using the Defuddle library, providing improved content extraction and conversion to markdown.
The Defuddle Fetch MCP Server is designed to provide advanced web content fetching capabilities for LLMs by utilizing the Defuddle library. This server acts as a drop-in replacement for the default fetch MCP server, which uses Readability.js, offering superior results for modern web pages. By leveraging Defuddle, the server can effectively clean up HTML content and convert it into clean, readable markdown, making it easier for AI models to process and understand. The server supports flexible output options, including markdown and raw HTML, and offers features like chunked reading and rich metadata extraction. This makes it an ideal solution for applications requiring precise and efficient web content retrieval.
Features
- Better Content Extraction: Utilizes Defuddle to remove webpage clutter and extract main content while preserving key metadata.
- Flexible Output: Supports both markdown and raw HTML output for versatile content handling.
- Chunked Reading: Allows pagination with start_index and max_length parameters for efficient content retrieval.
- Rich Metadata: Extracts comprehensive metadata including title, author, publication date, and word count.
- Easy Integration: Simple configuration for use with the Claude Desktop app and other platforms.
Tools
fetch
Fetches a URL from the internet and extracts its contents as clean, markdown text using Defuddle.