Skip to main content
Glama

Related Servers

Alternatives to OpenDocKit

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Converts PDFs, Office files, spreadsheets, emails, audio, and more to Markdown locally, enabling AI assistants to read and process them without cloud upload.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables 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
    • A
      license
      A
      quality
      A
      maintenance
      Local 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.
      5
      318 PyPI
      35
      MIT
    • A
      license
      A
      quality
      C
      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.
      1
      13 npm
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables 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

    A4.4/5.0

    Scored across 2 tools

    Disambiguation5/5

    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.

    Naming Consistency4/5

    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.

    Tool Count3/5

    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.

    Completeness4/5

    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.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues