A
licenseA
qualityD
maintenanceEnables AI agents to edit video assemblies from A-roll and B-roll, add captions, and publish to social media platforms.
27
68 npm
MIT
levea-mcp-server
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TDQS
C2.9/5.0
Scored across 25 tools
Disambiguation3/5
Three separate entry points (autonomous_edit, autonomous_edit_streaming, queue_edit) perform essentially the same core edit operation, and the job-vs-task distinction between check_job_status, check_task_status, and get_active_task is easy to confuse. Descriptions do clarify intended use cases, but an agent must carefully parse them to pick correctly.
Naming Consistency4/5
Most tools follow a clear verb_noun snake_case convention (list_caption_templates, create_brand_kit, delete_project, transcribe_asset). Minor deviations like asset_upload_url (noun_verb ordering) and editor_health (no verb) keep it from being fully uniform.
Tool Count3/5
At 25 tools the surface is heavy, and several could be merged (e.g., the three edit entry points and separate job/task polling tools). The domain is genuinely broad—editing, captions, brand kits, projects, assets—so most tools earn their place, but the count sits at the borderline.
Completeness3/5
Core video-editing workflows are covered, including async jobs, caption templates, brand kits, projects, and asset handling. However, projects lack an update operation, assets lack a get/update path, and there is no job/task cancellation or history listing, leaving notable gaps.
Maintenance
ActivityActive
ResponsivenessSyncing