Skip to main content
Glama
Sign In
doc2md

doc2md

by skyzhao1223
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to doc2md

No user-submitted related servers found.

    Related Servers

    • groupdocs-markdown-mcp

      groupdocs-markdown-mcpofficial

      groupdocs-markdown
      A
      license
      Not graded
      quality
      A
      maintenance
      Converts documents (PDF, DOCX, XLSX, EPUB, etc.) to clean, structured Markdown, and retrieves document info, for use with AI agents.
      MIT

    • MarkItDown MCP Server

      courage-zen
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to convert Office files, PDFs, images, archives, and other documents into Markdown over a stateless Streamable HTTP endpoint, accepting server-side paths, inline base64 content, or S3/MinIO object keys. Ships with bearer-token auth, path sandboxing, and a health probe for container and Kubernetes deployments.
      MIT

    • Clearcrawl MCP

      clearcrawl
      A
      license
      A
      quality
      B
      maintenance
      Turns any URL into clean markdown/JSON and converts PDF, XLSX, CSV, DOCX into text and tables. Free tier of 100 calls/day, then pay-per-call credits.
      2
      MIT

    • pdftomarkdown

      HEMANT16
      F
      license
      Not graded
      quality
      B
      maintenance
      Convert PDFs, Word documents, Excel/CSV files, and YouTube videos into clean, structured Markdown for AI agents, LLMs, and knowledge tools.
      1
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.4/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool targets a distinct operation: merging, converting, table extraction, page reading, info retrieval, search, OCR, splitting, and image extraction. Even the two conversion tools are clearly differentiated by scope (PDF-specific vs. universal document conversion).

    Naming Consistency4/5

    Most tools follow a clear verb-first pattern (merge, convert, extract, read, get, search, split). Minor inconsistency exists between 'ocr_document' (acronym as verb) and the inconsistent use of 'pdf' vs 'document' in object names, but the pattern remains predictable.

    Tool Count5/5

    Ten tools is well-scoped for a document conversion server, covering all major workflow stages without redundancy or bloat. Each tool has a clear purpose and none feel superfluous.

    Completeness5/5

    The tool set covers the full document handling lifecycle: inspection, conversion, OCR, search, table/image extraction, splitting, and merging. There are no obvious missing operations for the stated doc2md purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo recent community issues

    Resources