MCP Web Extractor

Overview

The MCP Web Extractor is a lightweight server that brings the power of Readability.js into Model Context Protocol workflows. By exposing a single capability, it turns any public web page into a clean, structured data object that AI assistants can ingest directly. This eliminates the noise of ads, navigation bars, and other non‑essential elements, delivering a distilled article that is ready for summarization, citation, or note creation.

Developers working with AI assistants often need to pull content from the web in a format that is both human‑readable and machine‑friendly. Traditional scraping tools return raw HTML, which requires additional parsing steps. The Web Extractor abstracts this complexity: you supply a URL, and the server returns an object containing , (HTML), (plain text), , and . This uniform structure allows downstream services—such as knowledge‑base builders or content recommendation engines—to consume the data without custom parsing logic.

Key capabilities include:

• Ad‑free extraction – The underlying Readability algorithm removes sidebars, pop‑ups, and other distractions, ensuring that the returned text focuses on the author’s intent.
• Metadata enrichment – In addition to raw content, the server supplies contextual metadata like the article title and site name, which is invaluable for indexing or linking.
• Seamless Obsidian integration – A ready‑made integration script demonstrates how to hook the server into an Obsidian plugin, enabling users to turn a URL into a polished note with a single click.
• MCP‑ready – The server follows MCP conventions, exposing the capability at a standard endpoint (). This makes it trivial to chain the extraction step into larger AI workflows, such as summarization or question‑answering pipelines.

Typical use cases include:

• Knowledge‑base construction – Automatically pull clean articles into a note system or database for later retrieval by an AI assistant.
• Content summarization – Feed extracted text into a summarizer model to generate concise overviews that the assistant can present to users.
• Web‑to‑PDF or Markdown conversion – Use the plain text and metadata to generate formatted documents for archiving or sharing.
• Research assistance – Quickly pull research papers or news articles into an AI‑augmented workspace, removing the need to manually copy and paste.

By providing a consistent, noise‑free content source, the MCP Web Extractor empowers developers to build richer, more reliable AI experiences that interact with the web without wrestling with HTML intricacies.