F
licenseA
qualityB
maintenanceEnables AI agents to connect to the NeuralForgeAI cluster for inspecting and controlling YOLO training jobs, including launching, monitoring, canceling studies, and verifying dataset paths.
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ultralytics-mcp
by amanharshx
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TDQS
A3.5/5.0
Scored across 44 tools
Disambiguation5/5
Every tool targets a distinct resource/action pair, and even close pairs like model_predict vs deployment_predict or training_monitor vs model_metrics are clearly separated by purpose. No two tools plausibly do the same thing.
Naming Consistency3/5
Most names follow a resource_verb shape (datasets_list, projects_create, deployment_stop), but the set mixes in verb_resource names (exports_list, export_create, explore_projects) and noun-phrase exceptions (gpu_availability, auto_annotate_status). The result is readable but not a single predictable convention.
Tool Count2/5
44 tools is well above the 25+ threshold and creates a heavy selection surface for an agent. The breadth of domains partially justifies the count, but many near-duplicate upload variants and per-resource CRUD tools inflate the surface.
Completeness3/5
Projects, datasets, models, training, and exports have solid lifecycle coverage, and auto-annotation is unusually complete. However, deployment support has a notable dead end: deployment_stop exists but there is no deployment_create or start to reverse it, and update/restore operations for projects and datasets are missing.
Maintenance
ActivityMaintained
ResponsivenessWithin a week