VisionFlow Match
Server Details
Hosted OpenCV for finding a pattern image inside a larger image: template matching, ORB/SIFT...
- Status
- Healthy
- Uptime
- 100.0% over 15 days
- Last Tested
- Transport
- Streamable HTTP
- URL
TDQS
Scored across 3 tools
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 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.
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.
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.
3 tool updates
- First observed
feature-match - First observed
homography - First observed
template-match
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