About
The Pure.md MCP Server transforms any web resource into clean markdown, rendering JavaScript and converting HTML, PDFs, images, etc. It provides AI agents with reliable web access, unblocking and caching for efficient content retrieval.
Capabilities

The pure.md MCP server bridges the gap between AI assistants and the ever‑changing web by turning any URL into clean, markdown‑formatted content that is easy for language models to ingest. In practice this means agents built with Claude, Cursor, or Windsurf can fetch web pages, PDFs, images, and single‑page applications without triggering bot‑blocking measures or dealing with JavaScript rendering headaches. By prefixing a URL with , the server fetches, parses, and caches the result globally—effectively acting as a CDN for markdown. This not only guarantees reliable access but also reduces load on the original host, improving performance for repeated queries.
At its core, puremd‑mcp exposes two intuitive tools. retrieves the markdown representation of a specific web page while bypassing common anti‑scraping defenses, making it ideal for targeted content extraction. performs a web search on behalf of the assistant, aggregates relevant snippets, and returns them as concatenated markdown. These capabilities give developers a simple yet powerful way to add “web‑unblocking” and “search‑as‑you‑type” features to their agents without writing custom crawlers or dealing with API rate limits.
For developers, the server’s value lies in its seamless integration with existing MCP workflows. Once configured, any MCP‑compatible client can invoke the tools through standard tool calls—no additional authentication or complex setup is required beyond an optional API key for higher limits. The server’s caching layer ensures that repeated queries hit the CDN rather than the origin, which is especially beneficial in production scenarios where latency and bandwidth are critical. Moreover, because pure.md accepts a wide range of input types (HTML, PDF, images), agents can handle diverse content sources uniformly.
Real‑world use cases include: building knowledge‑base assistants that pull up-to-date web articles, creating research bots that automatically fetch scholarly PDFs and summarize them, or developing customer support agents that retrieve product pages in plain text for quick reference. In each scenario, the ability to reliably render dynamic SPAs and avoid detection is a game‑changer, allowing agents to operate at scale without being throttled or blocked.
Unique advantages of puremd‑mcp stem from its combination of universal markdown output, global caching, and robust anti‑blocking logic—all delivered through the open MCP standard. This means developers can rapidly prototype web‑enabled agents, trust that content is consistent across requests, and scale confidently as their assistant’s user base grows.
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