Docling-rs MCP
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- AlicenseAqualityAmaintenanceA Model Context Protocol server that converts over 29 file formats, including PDFs, Office documents, and audio, into structured Markdown using Microsoft's MarkItDown library. It enables AI assistants to process diverse document types through single file conversion and batch directory processing.380 PyPI40MIT

Docling MCPofficial
AlicenseAqualityAmaintenanceProvides tools for document conversion, processing, and generation, enabling PDF to structured JSON conversion, document creation, and caching for improved performance.204,937 PyPI772MIT
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- AlicenseNot gradedqualityAmaintenanceConverts documents (PDF, DOCX, XLSX, EPUB, etc.) to clean, structured Markdown, and retrieves document info, for use with AI agents.MIT
- FlicenseNot gradedqualityDmaintenanceConverts documents (PDF, DOCX, images, etc.) to Markdown using Microsoft's Markitdown library, with no local setup required. Integrates with AI agents via MCP for seamless document conversion.1-
- AlicenseAqualityBmaintenanceEnables AI agents and MCP-capable platforms to convert documents such as docx, pptx, xlsx, pdf, odt, rtf, epub, and csv into clean GitHub-Flavored Markdown through a single tool call. Runs fully locally with no API key, no network access, and no OCR, returning structured errors for scanned, encrypted, or unsupported files.110 npmMIT
- AlicenseNot gradedqualityCmaintenanceConverts PDFs, Office files, spreadsheets, emails, audio, and more to Markdown locally, enabling AI assistants to read and process them without cloud upload.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to inspect and convert PDF, PowerPoint, Excel, and many other file formats into clean, structured Markdown, with chunking support for long documents.Apache 2.0
- AlicenseNot gradedqualityCmaintenanceConverts documents, webpages, and media files into markdown for AI assistants using Microsoft's MarkItDown and Crawl4AI. It enables tools to read PDFs, Office files, and JavaScript-rendered websites with support for OCR and image extraction.3MIT
TDQS
Scored across 3 tools
convert_to_markdown is essentially a subset of convert, which already lists Markdown among its output formats. An agent must guess whether to use the general tool or the specialized one, and the descriptions don't clarify when to prefer each.
Names mix conventions: list_input_formats follows verb_noun, convert is a bare verb, and convert_to_markdown uses verb_to_target. They are readable but do not form a predictable pattern.
Three tools is reasonable for a focused document-conversion server, covering format discovery and conversion without bloat. It is on the lean side but each tool has a plausible role.
Input format discovery plus flexible conversion covers the core domain well. Minor gaps exist (no output-format enumeration or batch/validation helpers), but agents can work around them.