A
licenseNot graded
qualityC
maintenanceEnables AI assistants to control DaVinci Resolve Studio through the official Scripting API, covering editing, media pool, render, grading, Fusion, Fairlight, and project lifecycle tasks.
10,157 npm
MIT
CineFlow Studio
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- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to control DaVinci Resolve Studio through the official Scripting API, covering editing, media pool management, rendering, grading, Fusion, Fairlight, and project lifecycle tasks.10,157 npmMIT
- FlicenseAqualityBmaintenanceEnables AI-powered video editing in IDEs through a pipeline-driven workflow, including proxy ingestion, motion graphics generation, and high-fidelity rendering.4-
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to control DaVinci Resolve Studio through its scripting API, handling editing cuts and trims, color grading, Fusion node builds, transcription, subtitles, audio, and one-call rendering. It also returns timeline frame previews and contact sheets so the assistant can visually verify its own work.MIT
- AlicenseNot gradedqualityDmaintenanceConnects AI coding assistants (Cursor, Claude Desktop) to DaVinci Resolve, enabling control of video editing workflows through natural language commands for project management, timeline operations, and media pool tasks.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to control DaVinci Resolve Studio through the official scripting API for editing, media-pool organization, render setup, review markers, grading, Fusion, Fairlight, project lifecycle tasks, and source-safe media analysis.10,157 npmMIT
TDQS
C2.8/5.0
Scored across 43 tools
Disambiguation2/5
Several pairs have unclear boundaries: cineflow_project_create vs cineflow_project_init, cineflow_quick_tts vs cineflow_dialogue_tts, cineflow_nodes_catalog vs cineflow_install_node, cineflow_models_catalog vs cineflow_download_model, and cineflow_workflows_catalog vs cineflow_workflow_get vs cineflow_comfy_workflow_execute. Status probing is especially fragmented across cineflow_status, cineflow_billing_status, cineflow_internal_llm_status, cineflow_deepseek_status, and cineflow_hardware_profile, where an agent could easily pick the wrong probe.
Naming Consistency3/5
All tools use a cineflow_ prefix and snake_case, but conventions mix: verb_noun (cineflow_install_node, cineflow_download_model), noun_verb (cineflow_comfy_config_get, cineflow_workflow_get), and noun-only (cineflow_status, cineflow_auth). Ad-hoc prefixes like quick_ (quick_reel, quick_tts, quick_photo_animate) create a third naming family that doesn't map cleanly onto the rest of the lifecycle verbs.
Tool Count2/5
43 tools is far above a comfortable surface for one server and several are redundant (multiple status probes, duplicate catalog/download/config get-set families). The scope spans production pipeline, infrastructure install, dependency management, and billing/auth, which is too broad to navigate reliably as one toolset.
Completeness3/5
The creative lifecycle is broadly covered: project state, scenes, scene graph, materials, frames, video render, TTS, export, plus infra and install tooling. However there are notable gaps in teardown/cleanup of projects, scenes, or materials (no delete/remove operations), leaving the CRUD surface one-sided.
Maintenance
ActivityMaintained
ResponsivenessNo recent community issues