A
licenseA
qualityD
maintenanceA Model Context Protocol server that gives AI assistants OCR with first-class accuracy handling and evaluation. It wraps three engines behind one interface and can score and compare them.
6
1
MIT
ddddocr Smithery MCP Server
by ymeng98
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TDQS
B3.1/5.0
Scored across 4 tools
Disambiguation2/5
ocr_recognize and text_detection are fairly distinguishable, but slide_match and slide_comparison both target sliding captcha solving with descriptions that seem to describe the same task. The boundary between matching pieces and comparing images for a sliding distance is unclear.
Naming Consistency3/5
All names use snake_case and have recognizable prefixes, but verb/noun forms are inconsistent: ocr_recognize uses a verb while text_detection and slide_comparison use nouns. slide_match and slide_comparison follow a common slide_ pattern, yet the overall set is not uniformly structured.
Tool Count4/5
Four tools is a reasonable size for an OCR and captcha-focused server. However, slide_match and slide_comparison appear redundant, so the count is acceptable but not perfectly lean.
Completeness4/5
The core OCR recognition, text detection, and sliding captcha workflows are covered. Minor gaps include lack of a dedicated captcha classification tool or preprocessing utilities, but they are likely workarounds given the stated scope.
Maintenance
ActivityInactive
ResponsivenessNo issues