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timaliev

mcp_ocr

by timaliev
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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

    A4/5.0

    Scored across 14 tools

    Disambiguation5/5

    Each tool is uniquely identified by a combination of task (text, layout, table, batch, formula, chart) and backend (vision, paddle, paddleocr_vl). The backend distinctions are clearly described, preventing confusion between same-task tools. The two extra tasks (formula, chart) are only available for the paddleocr_vl backend, adding no ambiguity.

    Naming Consistency5/5

    All tools follow a strict `ocr_<task>_<backend>` snake_case pattern. Every task and backend uses consistent vocabulary, making the naming scheme highly predictable and easy to navigate.

    Tool Count5/5

    14 tools is well within the ideal range for a multi-backend OCR server. The count reflects three backends with shared core tasks plus two backend-specific extras, each earning its place without bloat.

    Completeness5/5

    The tool surface covers the primary OCR workflows: text extraction, layout analysis, table extraction, and batch processing across backends. The paddleocr_vl backend adds specialized formula and chart extraction, filling the expected niches. No obvious dead ends or missing critical operations.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources