/Animatic MCP

Scene Authoring

Eight tools for classifying content, generating structured scenes from briefs, validating choreography, compiling motion timelines, and authoring editorial canvas layouts.

analyze_scene

Classify a scene's content type, visual weight, motion energy, and intent tags. Produces semantic annotations used by downstream planning tools.

  • Name
    scene
    Type
    object
    Description

    The scene object to analyze.

Returns: Content type classification, visual weight score, motion energy rating, intent tags, and semantic annotations.

Try asking your AI:

"Analyze this scene for content type and visual weight"

"Classify the motion energy and intent tags for my hero scene"

generate_scenes

Convert a natural language brief into classified assets and validated scene JSON with auto-annotations. Runs the full brief-to-scenes pipeline in one call.

  • Name
    brief
    Type
    string
    Description

    Natural language description of the animation you want to create.

  • Name
    personality
    Type
    string
    Description

    Optional personality to constrain the generated scenes.

  • Name
    template
    Type
    string
    Description

    Optional brief template name to use as a starting structure.

Returns: An array of structured scene objects with beats, primitives, timing, element targeting, and semantic annotations.

Try asking your AI:

"Generate scenes for a SaaS landing page hero with staggered text and image reveals"

"Create animation scenes for an onboarding flow using the neutral-light personality"

validate_choreography

Validate animation choreography against personality guardrails. Catches violations before you compile.

  • Name
    primitives
    Type
    string[]
    Description

    Array of primitive names to validate.

  • Name
    personality
    Type
    string
    Description

    The personality to validate against.

Returns: Pass/fail result with specific violations listed. Common violations include using 3D primitives in a personality that forbids them, or mixing timing tiers incorrectly.

Always validate before compiling. Personality violations can result in animations that feel inconsistent or break the intended tone of your project.

Try asking your AI:

"Validate these primitives against the editorial personality: blur-reveal, perspective-tilt, fade-in"

compile_motion

Compile scene motion (groups, stagger, camera) into a timeline. Takes a planned sequence and produces production-ready output.

  • Name
    sequence
    Type
    object
    Description

    The planned sequence to compile, as returned by plan_sequence or recommend_choreography.

  • Name
    format
    Type
    string
    Description

    Output format: css (default), tailwind, or styled-components.

Returns: Complete timeline with keyframes, animation declarations, and timing functions.

Try asking your AI:

"Compile this sequence to production CSS"

"Compile the choreography as Tailwind utility classes"

critique_motion

Critique a compiled timeline for quality issues. Checks 13 rules covering timing consistency, easing, performance, and personality compliance.

  • Name
    css
    Type
    string
    Description

    The compiled CSS to critique.

  • Name
    personality
    Type
    string
    Description

    The personality the animation should conform to.

Returns: Quality assessment with per-rule scores, timing consistency analysis, performance impact flags, and personality alignment.

Try asking your AI:

"Critique this compiled animation for performance and editorial personality compliance"

create_editorial_canvas_scene

Create a flat, art-directed editorial canvas scene. Produces a scene optimized for editorial-style compositions with precise spatial layout.

  • Name
    content
    Type
    object
    Description

    Content elements to arrange on the canvas (text blocks, images, shapes).

  • Name
    style
    Type
    string
    Description

    Optional style direction for the canvas layout.

Returns: A scene object with editorial canvas layout, element positions, and art direction metadata.

Try asking your AI:

"Create an editorial canvas scene with a large headline and supporting image"

recommend_editorial_layout

Recommend an editorial layout for given content. Analyzes content types and proportions to suggest optimal spatial arrangements.

  • Name
    content
    Type
    object
    Description

    Content elements to lay out (text, images, video, data).

  • Name
    aspect_ratio
    Type
    string
    Description

    Target aspect ratio (e.g., "16:9", "1:1", "9:16").

Returns: Layout recommendation with element positions, sizing, and visual hierarchy notes.

Try asking your AI:

"Recommend an editorial layout for a hero with headline, subhead, and product screenshot"

recommend_type_treatment

Recommend typography animation treatment for text content. Suggests kinetic type approaches based on content length, hierarchy, and personality.

  • Name
    text
    Type
    string
    Description

    The text content to animate.

  • Name
    role
    Type
    string
    Description

    Text role: headline, subhead, body, caption, or label.

  • Name
    personality
    Type
    string
    Description

    Personality to constrain recommendations.

Returns: Recommended type treatment with animation primitives, timing, and implementation notes.

Try asking your AI:

"Recommend a type treatment for my hero headline using the prestige style"

"What typography animation works best for a short caption in cinematic-dark?"

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