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u9401066

asset-aware-mcp

by u9401066

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      Enables AI agents to extract structured data from PDFs with confidence scores and provenance, and to search, review, and correct documents via MCP tools, resources, and prompts.
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    • A
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      Extracts text and tables from PDFs for AI agents via MCP, enabling structured data retrieval from invoices, reports, and statements.
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    • A
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      Enables AI agents to navigate long PDFs by address—sections, pages, tables, figures, notes, and terms—so they can read selectively and cite the PDF page behind each answer.
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    TDQS

    C2.4/5.0

    Scored across 30 tools

    Disambiguation2/5

    The tool set contains multiple consolidated facades and direct tools that heavily overlap: document, document_asset, fetch_document_asset, section, docx, docx_table, and evidence all cover document/asset territory, while job duplicates get_job_status/list_jobs. Even with detailed descriptions, an agent must read long contracts to pick the right entrypoint. Several tools have unclear boundaries despite some well-written individual descriptions.

    Naming Consistency3/5

    Names are consistently lowercase and snake_case, but they follow no single pattern: action-first names like ingest_documents and get_docx_content coexist with noun-only entrypoints like document, job, section, and evidence, plus the mixed table_manage/table_data versus plan_table style. Most names are readable and descriptive, but the generic single-word facades are vague and the overall convention is uneven.

    Tool Count2/5

    30 tools exceeds the 25-tool threshold and is inflated by redundant consolidated/direct pairs, e.g., document vs document_asset vs docx, and job vs get_job_status/list_jobs. The underlying domain is broad, but many tools could be merged or removed without losing capability, making the surface feel heavy for agents to navigate.

    Completeness4/5

    The server covers the document lifecycle well: PDF/DOCX ingestion, document listing and asset retrieval, table CRUD/drafts/citations, evidence spans/bundles, DOCX write-back, and job tracking. Minor gaps remain, such as the lack of a clearly exposed direct PDF create/update/delete tool outside the monolithic document facade and no OCR path, but core workflows have no dead ends.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues