"Markdown" matching MCP servers:

Fetch web pages into clean, RAG-ready Markdown with a verifiable provenance record — source URL, UTC fetch time, SHA-256 of the response body, redirect chain, and an extraction-fidelity metric. Writes WARC archives and honours robots.txt/ai.txt, so every document an agent reads can be re-verified and cited.

Extracts clean markdown content from web pages using Playwright, automatically filtering out navigation, headers, and ads while preserving formatting. Handles JavaScript-heavy sites and dynamic content, making web content easily readable and processable.

Fetches web pages and converts them to clean, readable markdown format by extracting main content while removing navigation, ads, and other non-essential elements to minimize token usage.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

Enables AI agents to fetch one or many web pages concurrently and receive clean, LLM-ready Markdown with navigation, ads and boilerplate stripped away, plus extracted metadata such as title, description, author, Open Graph tags and canonical URL. It runs locally over stdio with no API key or account, requiring only a single command.

Converts any webpage URL to clean, well-formed Markdown with title and H1 preservation, URL validation, and graceful fallbacks. One of 16 single-purpose servers in an open-source monorepo with full CI/CD to PyPI.

MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.

Enables AI agents to convert HTML content into clean Markdown, stripping scripts and styles while preserving headings, links, lists, and images, with pay-per-call x402 micropayments and no API keys.

Enables converting any webpage to clean LLM-ready markdown, with extraction, article, and news modes, using a real browser with anti-bot handling.

Extracts the content from any URL and returns it in clean, optimized Markdown for LLMs. Supports standalone monetization via Dodo Payments (HTTP 402).

Fetches website content and converts it to Markdown format with AI-powered content cleanup, ad removal, and full OpenAPI/Swagger specification support for easy processing by AI assistants.

Converts raw HTML to clean Markdown, optimized for LLM token efficiency and deterministic processing.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.

Converts documents, web pages, media, and more to Markdown via an MCP server with tools for conversion, inspection, vault capture, and format listing, all running locally with privacy-first design.

An MCP server that wraps Percollate to convert web pages into PDF, EPUB, HTML, or Markdown, and also read a page as Markdown directly in conversation.

Enables AI agents to send emails, perform IP lookups, and convert files to Markdown.

Enables clean, LLM-ready markdown extraction from any URL with automatic anti-bot bypass.

Helps AI agents search the public web and fetch content with anti-bot measures, returning clean markdown outputs suitable for citation.

Enables scraping web pages through ScrapingAnt, returning raw HTML, LLM-ready Markdown, or structured JSON extracted from page content.