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Hosted OpenCV for finding a pattern image inside a larger image: template matching, ORB/SIFT...

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Status
Healthy
Uptime
100.0% over 15 days
Last Tested
Transport
Streamable HTTP
URL

TDQS

A4/5.0

Scored across 3 tools

Disambiguation4/5

Each tool targets a distinct matching approach: template-match for same-scale pixel matching, homography for scale/rotation/perspective, and feature-match for raw keypoint correspondence. The descriptions explicitly cross-reference each other to guide selection, though feature-match and homography share the same ORB/SIFT+matcher mechanism and could occasionally be confused.

Naming Consistency3/5

Naming is consistent in kebab-case, but the pattern is mixed: feature-match and template-match use noun-match, while homography is a bare concept noun with no verb or action. Readable but not a predictable convention throughout.

Tool Count4/5

Three tools is slightly thin but well-scoped for a focused image-matching service, and each tool earns its place by covering a genuinely different matching strategy. It sits at the low end of the comfortable range without feeling padded or truncated.

Completeness4/5

The surface covers the main pattern-localization strategies (exact template, geometric homography, raw feature correspondence), which is the core domain. Minor gaps exist around batch processing or keypoint/visualization output, but agents can work around these.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 3 tool updates
    • First observedfeature-match
    • First observedhomography
    • First observedtemplate-match

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