defuddle-mcp
Extracts main content from web pages and raw HTML, converting it into cleaned Markdown while stripping away ads, navigation, and sidebars to provide structured text and metadata.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@defuddle-mcpextract the main content from https://example.com/blog-post"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
defuddle-mcp
MCP server that extracts the main content from web pages using defuddle. Returns cleaned Markdown or HTML with metadata (title, author, description, etc.), stripping away ads, navigation, sidebars, and other clutter.
No authentication required — defuddle runs locally as a CLI tool.
Tools
Tool | Description |
| Fetch a URL and extract its main content |
| Extract main content from raw HTML |
Both tools return a structured result with: title, author, description, domain, content, word_count, and other metadata fields. Set markdown=false to get HTML instead of Markdown.
Related MCP server: crawl-mcp-server
Setup
Requires Python >= 3.10 and Node.js >= 18.
uv syncThe defuddle npm package is installed automatically on first server start.
Run
uv run python -m src.mainThe server starts on http://127.0.0.1:8080/mcp.
Test
uv run python -m src.clientTool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
No tool schema history has been recorded yet.
This server cannot be installed
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
Hosted MCP server: convert PDFs to clean, LLM-ready Markdown with tables, formulas and OCR.
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MCP server (stdio): fetch web pages as clean readable markdown via the AgentForge API
Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.
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