A
licenseA
qualityA
maintenanceModular OCR MCP server supporting Apple Vision, PaddleOCR, and PaddleOCR-VL backends. Enables text, layout, table, formula, and chart extraction from images via natural language.
14
MIT
paddleocr-mcp
by Nicvank
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TDQS
C2.9/5.0
Scored across 3 tools
Disambiguation2/5
ocr_image and parse_document both accept images, and smart_ocr is a routing wrapper that overlaps both. The descriptions help somewhat, but an agent cannot clearly determine whether to call smart_ocr or the specific pipeline for a given input.
Naming Consistency3/5
ocr_image and parse_document follow a verb_noun pattern, but smart_ocr is an adjective_noun exception. The naming is readable and consistently lowercased with underscores, yet the verb styles are mixed.
Tool Count4/5
Three tools is a reasonable size for an OCR-focused server. The count is not excessive, though smart_ocr makes the set feel slightly redundant since it wraps the other two tools.
Completeness4/5
The set covers basic image OCR, document-level parsing, and PDF handling, which matches the apparent domain. Minor gaps exist around configuration options like language selection or output formatting, but core workflows are supported.
Maintenance
ActivityStale
ResponsivenessNo issues