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docling-mcp

by mk20mm
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Python
Hybrid

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    Deploy Server
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    TDQS

    A4.2/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: plain text conversion, markdown conversion, table extraction, and RAG chunking. No two tools overlap in function, and the descriptions clarify the differences even between the two conversion tools.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (convert_to_text, convert_to_markdown, extract_tables, chunk_for_rag). The naming is uniform and predictable.

    Tool Count5/5

    With 4 tools, the server is well-scoped for document processing. Each tool covers a distinct need without redundancy, and the number is within the ideal range.

    Completeness4/5

    The server covers the primary conversion and extraction needs (text, markdown, tables) plus chunking for RAG. Minor gaps exist, such as direct document structure extraction or image extraction, but agents can work around these using the provided tools.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources