Motion Previs
БесплатноНе проверенEnables AI agents to import video footage, trim ranges, run motion analysis (camera, actor, object, or full scene), export depth passes and pose data, and send
Описание
Enables AI agents to import video footage, trim ranges, run motion analysis (camera, actor, object, or full scene), export depth passes and pose data, and send layers to the Blockout previs app via Motion Previs Studio.
README
MCP (Model Context Protocol) stdio bridge for Motion Previs Studio — the open-source desktop app that turns real reference footage into AI-generator control packs. With this server connected, an AI agent can import a shot (local file or URL), trim the range, pick what to preserve (camera move, actor performance, object motion, or the full scene), run the analysis pipeline, watch its progress, export the bundle (depth passes, OpenPose skeleton video + keypoints, camera path, prompts), and send layers straight to the Blockout previs app.
Zero dependencies. Node ≥ 18. One file.
Requirements
- Motion Previs Studio v4.1+ must be running. Get it from the app repo (build from source or use a release DMG).
- On launch, the app starts a localhost-only control server on a random port and writes a discovery file to
~/.config/motion-previs/control.json(random bearer token, mode 0600, removed on quit). This bridge reads that file automatically — nothing to configure, no credentials to enter.
Connect
Hermes
Add to ~/.hermes/config.yaml (or install from the Hermes MCP catalog once listed):
mcp_servers:
motion-previs:
command: "node"
args: ["/absolute/path/to/motion-previs-mcp/motion-previs-mcp.mjs"]
Claude Code
claude mcp add motion-previs -- node /absolute/path/to/motion-previs-mcp/motion-previs-mcp.mjs
Any MCP client (generic stdio config)
{ "mcpServers": { "motion-previs": { "command": "node", "args": ["/absolute/path/to/motion-previs-mcp/motion-previs-mcp.mjs"] } } }
Tools (11)
get_state · import_file · import_url · set_range · set_mode · set_settings · run_analysis · export_pack · list_bundle · send_to_blockout · screenshot
The agent workflow: import_file/import_url → set_range + set_mode (camera_only | actor_motion | object_motion | full_scene) → run_analysis → poll get_state until analysis.status is done → export_pack → optionally send_to_blockout (reference / depth / ai_depth / pose / openpose).
Security
The app's control server binds to 127.0.0.1 only, uses a per-launch random bearer token, and validates every action against a whitelist. Nothing is exposed off-machine.
License & credit
Apache-2.0 — see LICENSE. Per the NOTICE file, use, forks, and redistribution must credit Sam Wasserman (wassermanproductions.com).
Установка Motion Previs
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/wassermanproductions/motion-previs-mcpFAQ
Motion Previs MCP бесплатный?
Да, Motion Previs MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Motion Previs?
Нет, Motion Previs работает без API-ключей и переменных окружения.
Motion Previs — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Motion Previs в Claude Desktop, Claude Code или Cursor?
Открой Motion Previs на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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