OpenDocKit
Related Servers
Alternatives to OpenDocKit
No user-submitted related servers found.
Related Servers
- 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
- FlicenseAqualityBmaintenanceEnables AI assistants to read local documents by converting PDFs, Office files, images, and audio to Markdown on-device, without uploading them.466 npm-
- AlicenseAqualityAmaintenanceLocal MCP server that lets agents read PDF, DOCX, PPT, Excel, HTML, EPUB, email and 40+ other formats as Markdown. Read PDF, Office, HTML, EPUB, email and 40+ formats as Markdown; outline, search and diff documents inside allowlisted folders. Writing documents from Markdown and editing DOCX, PPTX, HTML and Markdown files in place are opt-in. All file access is confined to allowlisted folders.5318 PyPI35MIT
- AlicenseAqualityCmaintenanceEnables 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.113 npmMIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with local documents (PDF, Markdown, TXT) through tools for discovery, reading, extraction, summarization, comparison, keyword extraction, search, and analysis, ensuring privacy and offline capability.-
TDQS
Scored across 2 tools
The two tools have clearly separate purposes: `document_outline` returns metadata and structural information, while `convert_document` returns extracted text. Their descriptions explicitly explain how they work together, leaving no realistic chance of confusion.
Both names use snake_case and are descriptive, but the pattern is not fully uniform: `convert_document` is verb-first while `document_outline` is noun-first. This is a minor deviation and remains readable and predictable.
The server is very tightly scoped with only two tools. Both earn their place, but the surface is thin for a document-handling server and leaves little room for adjacent operations.
The core workflow is covered: inspect a document's structure, then convert selected sections to Markdown. Minor gaps exist, such as discovering supported formats or handling batch operations, but agents can reasonably work around them.