Related Servers

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Related Servers

• anydoc-mcp

  fclwtt

  A

  license

  A

  quality

  B

  maintenance

  Enables 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.

  Updated a month ago (2026-09-11 04:35 UTC)

  1

  11 npm

  MIT

• ConvertAgent

  vid-factory

  A

  license

  -Not graded

  quality

  C

  maintenance

  File conversion built for AI agents. CLI, REST API, and MCP server — all sharing one engine.

  Updated 2 months ago (2026-08-14 15:30 UTC)

  3 npm

  1

  MIT

• anydoc-serve

  bon5co

  A

  license

  -Not graded

  quality

  C

  maintenance

  Enables AI agents to convert Word, PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV, PDF and image files into Markdown through a single MCP tool that accepts a URL or base64 content. Scanned and image-only pages are OCR'd locally for English, Japanese and Thai, so nothing leaves the container.

  Updated 25 days ago (2026-09-28 07:25 UTC)

  MIT

• mcp-server-anydoc

  ofershap

  A

  license

  A

  quality

  B

  maintenance

  Local MCP server that converts PDF, Word, PowerPoint, Excel and more to Markdown on your machine, enabling coding agents like Claude Code and Cursor to read office files in the repo.

  Updated 7 days ago (2026-10-16 20:44 UTC)

  3

  44 npm

  MIT

• md-converter-mcp

  riyengar19

  A

  license

  A

  quality

  D

  maintenance

  Converts files (PDF, DOCX, PPTX, XLSX, images via OCR) and URLs to Markdown, enabling AI clients to read them via a single MCP tool.

  Updated 4 months ago (2026-06-28 19:17 UTC)

  1

  GPL 3.0

• MinerU MCP

  GermaniU

  A

  license

  -Not graded

  quality

  A

  maintenance

  Enables AI agents and MCP clients to convert PDFs, DOCX, PPTX, XLSX and images into structured Markdown with HTML tables and LaTeX formulas, either synchronously or as asynchronous tasks with page ranges. Runs entirely against a self-hosted parsing API over HTTP/SSE, so clients install no heavy dependencies and documents never leave the local network.

  Updated 4 days ago (2026-10-19 08:06 UTC)

  MIT