mcp.film

mcp.film / Playbooks

Production playbooks

Concrete MCP stacks for common AI filmmaking jobs. The directory tells you what exists; playbooks tell your agent what to connect first. (machine version: /playbooks.md · /api/playbooks.json)

Launch videos, product promos, UGC-style ads, and short brand films where speed matters more than bespoke tooling.

AI Commercial Sprint

A fast path from brief to polished 30-60 second ad with one studio, one model hub, voice, edit, finish, and upload.

Primary stack

Workflow

  1. develop

    Turn the brief into scenes, shot goals, and edit notes.

  2. shoot

    Generate hero shots and alternates with direct video models plus a hub for gaps.

  3. sound

    Record voiceover and temp score without leaving the agent session.

  4. cut

    Assemble, caption, and revise the timeline in an agent-operable editor.

  5. finish

    Upscale stills or plates and QC the final master.

  6. ship

    Upload the final cut and retain metadata control.

Watch-outs

  • Use hosted tools where possible.
  • Keep one human review gate before publish.
  • Download generated assets before vendor URLs expire.

Fallbacks Pika MCP · Higgsfield MCP · json2video MCP · Vimeo MCP Server

Directors, creative technologists, and agencies comparing Veo, Kling, Seedance, Runway, FLUX and other fast-moving models for a specific film look.

Model Shootout

A controlled way to test the same shot across competing video and image hubs before committing a production budget.

Primary stack

Workflow

  1. develop

    Define the shot brief, constraints, and keeper criteria before touching model credits.

  2. visualize

    Create or refine the shared start frame and style references that every model will receive.

  3. shoot

    Run the same test across broad model hubs and direct endpoints, then capture task IDs and costs.

  4. cut

    Assemble a comparison reel or contact sheet so humans can pick winners quickly.

  5. finish

    Upscale or clean only the winning takes, not every experiment.

Watch-outs

  • Keep prompt, input frame, model, settings, cost and output URL with every take.
  • Cap batch counts before spending credits.
  • Verify provider rights and ToS before commercial use, especially through aggregator routes.

Fallbacks Runway MCP · Pika MCP · Higgsfield MCP · Google GenMedia MCP

Editors who want agent help without sending every source file to a hosted generation or editing service.

Local Edit Bay

A workstation-first stack for agents that need to inspect footage, cut precisely, caption, export, and keep media local.

Primary stack

Workflow

  1. develop

    Index source material and pull searchable notes before cutting.

  2. cut

    Use the right edit surface: Palmier for agent-native timeline work, Resolve for mature finishing, FFmpeg for batch operations.

  3. sound

    Clean and normalize dialogue before final assembly.

  4. finish

    Upscale, enhance, and verify deliverables locally or through focused APIs.

  5. ship

    Send review copies, archive outputs, and publish only after approval.

Watch-outs

  • Requires local apps and media access.
  • Prefer explicit file paths and review every destructive edit.
  • Use hosted generation only for assets that need it.

Fallbacks Adobe Premiere Pro MCP · After Effects MCP · CapCut MCP

Serial social films, AI influencers, explainers, recurring product mascots, and episodic shorts.

Character-Consistent Series

A stack for recurring characters, repeatable looks, and short episodic work where continuity beats raw novelty.

Primary stack

Workflow

  1. develop

    Track characters, locations, and shot state so each session starts grounded.

  2. visualize

    Create locked references, style frames, logos, and art direction boards.

  3. shoot

    Generate scenes with character-aware tools and a full-stack studio for continuity.

  4. sound

    Keep voice and dialogue consistent across episodes.

  5. cut

    Assemble episodes and preserve reusable project structure.

  6. ship

    Publish and read performance signals for the next episode.

Watch-outs

  • Keep reference images and approved takes organized.
  • Record model, prompt, seed, and rights notes per shot.
  • Use one source of truth for character state.

Fallbacks Pika MCP · PixVerse MCP · HeyGen Remote MCP · Hedra MCP Server

Dailies, long interviews, b-roll libraries, event footage, and generated-clip archives that need fast retrieval.

Archive To Trailer

Find the right moments in a footage library, make a trailer or cutdown, and ship reviewable versions.

Primary stack

Workflow

  1. develop

    Collect footage sources and production notes.

  2. cut

    Search semantic video moments, transcripts, and media bins before assembling.

  3. finish

    Create clean review exports and delivery variants.

  4. ship

    Host the cut, collect review feedback, and update metadata.

Watch-outs

  • Index only footage you are allowed to process.
  • Keep human review before publishing public cuts.
  • Avoid re-transcribing media already indexed.

Fallbacks Adobe Premiere Pro MCP · DaVinci Resolve MCP · YouTube MCP Server (data)

R&D, local GPU shops, labs, students, open-source film experiments, and teams that need maximum control.

Open Lab

A mostly local, hackable pipeline for technical filmmakers who want workflows they can inspect and modify.

Primary stack

Workflow

  1. visualize

    Generate stills, boards, and model tests locally or through inspectable workflows.

  2. shoot

    Build scenes, props, previz, and open video-model experiments.

  3. sound

    Draft SFX locally and fill gaps with licensed library search.

  4. cut

    Transcode, caption, QC, and assemble media with guardrailed local tools.

  5. ship

    Publish when ready, with analytics available for iteration.

Watch-outs

  • Expect setup friction.
  • Pin model versions and node packs.
  • Budget time for render failures and dependency drift.

Fallbacks Replicate MCP Server · fal MCP Server · Tripo MCP · Meshy MCP Server