"Convert Unicode to Characters" matching MCP servers:

Convert PDF, DOCX, HTML, and URLs into clean, LLM-ready markdown with tables preserved and boilerplate stripped, through three MCP tools (URL, local file, or raw bytes). Hosted API with no local dependencies; 50 free conversions with a self-serve key, then $0.002 per call.

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.

MCP server for Averra Extract — lets AI agents like Claude, Cursor, and ChatGPT convert any webpage into clean, LLM-ready Markdown.

Web search, crawling and ranking evaluation on your own YaCy peer: no API key, no central service. Results carry author-signature verdicts and declared tags.

Enables AI agents to convert files, render web pages to markdown/PDF/screenshots, search the live web, extract structured data, ingest RAG-ready chunks, and monitor pages for changes through a single API key.

Offline-first MCP server for TwitterAPI.io docs (endpoints, pages, blogs) with fast fuzzy search.

Enables any MCP client to run keyless multi-engine web searches with RRF fusion, fetch pages and documents as Markdown, and full-text search a local SQLite index. It keeps queries and cached content on the user's machine, degrading gracefully across engine tiers when providers are blocked or rate-limited.

Enables converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

Enables LLMs to fetch and process web page contents by providing tools to retrieve raw HTML, extract clean text, and convert web pages to markdown format.

Enables AI agents and compatible MCP clients to fetch, search, and download web content—including .onion services—anonymously through the Tor network, using a fresh circuit per call and retrying when exit nodes are blocked.

Enables AI clients to search and read a local folder of notes, fetch public web pages as markdown with SSRF and robots.txt safeguards, and convert times between IANA timezones. It exposes these read-only capabilities as MCP tools over stdio or streamable HTTP.

MCP server that allows AI agents to fetch and process llms.txt documentation from various sources. Fetch documentation from any HTTPS URL and automatically convert HTML content to readable markdown.

Enables AI agents to extract structured content from URLs, search the web via DuckDuckGo, monitor site availability, and convert HTML to markdown without requiring API keys.

Enables MCP-aware agents to fetch documentation pages, strip navigation noise, convert HTML to clean markdown, and emit or return timestamped .md files ready for LLM contexts.

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.

Enables extraction of content from various web sources including webpages, YouTube transcripts, tweet threads, PDF files, and public Google Docs. It provides specialized tools to convert internet resources into markdown or text for model consumption.

MCP Server for Web2MD — convert webpage URLs to clean Markdown from Claude Desktop, Cursor, or any MCP-compatible agent.

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.

A Model Context Protocol server that allows LLMs to retrieve and convert web content to markdown without robots.txt restrictions.

Enables users to capture high-quality website screenshots, generate PDFs, and convert web content to HTML or markdown via the Urlbox API. It supports advanced features like ad-blocking, cookie banner removal, and metadata extraction directly through natural language prompts.