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DocImprint Document Intelligence

DocImprint Document Intelligence

Official
by sawftware-apps
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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    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 22 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose, with specific resource-action pairs (bundle, document, collection, url, receipt, job, account). Overlapping tools like document.extract_text and url.extract are explicitly differentiated by input type (base64 vs URL), and cross-references guide selection. No two tools appear to do the same thing.

    Naming Consistency5/5

    All tools follow a consistent `resource.action` pattern with lowercase and dots, and multi-word actions use snake_case (e.g., `extract_text`, `add_document`). The naming is uniform and predictable across all resources, making it easy to infer the function of an unfamiliar tool.

    Tool Count4/5

    With 22 tools, the set is slightly above the typical 3-15 range, but each tool earns its place given the multi-faceted domain (document extraction, URL analysis, bundle management, collections, receipts, jobs, account). No redundant tools exist; the count feels justified rather than bloated.

    Completeness4/5

    The tool surface covers core document intelligence workflows (extract, parse, summarize, check claims, structured extraction), URL operations, bundle verification and notarization, collection management with RAG Q&A, receipt audit, async job monitoring, and account quota. Minor gaps include lack of explicit bundle creation/deletion and collection deletion, but these are likely handled outside this server or are intentionally omitted.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

    Resources