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Health: ActiveRecent health check succeeded.Last checked 10/7/2026, 7:48:12 PM

Motionlint

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animationvisual-testingdeveloper-toolsplaywrightmcp

Audits live-page animations, reviews UX with optional vision models, and exposes MotionLint workflows through MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "bobaba99-motionlint": {
      "command": "npx",
      "args": [
        "-y",
        "motionlint"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Overview

The bobaba99/motionlint MCP server connects AI coding agents to MotionLint's live-page animation audits and UX review workflows. It can measure shipped animations with 13 deterministic checks covering timing, easing, exits, reduced motion, stagger behavior, and touch interactions without an API key. Optional provider-backed reviews use screenshots and animation frame captures across viewports, while commands such as audit, review, flow, and tune support broader workflows. Reach for it when code inspection or visual regression tests are not enough to evaluate how motion behaves in a running web app.

Use cases

β€’Audit a local web app for animation defects before merging
β€’Review scripted user journeys for missing loading and interaction states
β€’Generate SARIF findings for CI code-scanning workflows
β€’Compare preview and production motion behavior
β€’Tune live page animations with interactive controls

Key features

β€’13 deterministic live-page animation checks
β€’Optional multi-viewport vision-LLM UX review
β€’50ms animation frame capture for scripted flows
β€’MCP stdio server for agent workflows
β€’SARIF, HTML, and Markdown reporting
β€’Route, Storybook, color-scheme, and interaction-state review options

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Motionlint.

Extracted Tool Capabilities
13 deterministic live-page animation checks
Optional multi-viewport vision-LLM UX review
50ms animation frame capture for scripted flows
MCP stdio server for agent workflows
SARIF, HTML, and Markdown reporting
Route, Storybook, color-scheme, and interaction-state review options

How Motionlint works

What bobaba99/motionlint does

The bobaba99/motionlint MCP server brings MotionLint's browser-based motion inspection into an MCP workflow for AI coding agents. It evaluates a running web page rather than inferring behavior from JSX, HTML, or CSS alone. The deterministic audit checks 13 animation quality rules, including duration, easing curves, stagger intervals, exit timing, reduced-motion handling, and hover behavior that may be inappropriate for touch devices.

The audit reports measured values and suggested fixes. It does not require an API key and can run against a local development server, staging deployment, or another reachable URL. MotionLint also provides optional design review using a vision-capable model. That review can inspect screenshots at multiple viewports and short frame sequences from real user journeys, then return ranked findings.

How it works

MotionLint uses Playwright and Chromium to load the target page and observe its actual behavior. Install Chromium once with npx playwright install chromium; the project requires Node 18 or newer. Deterministic checks run locally and offline.

For model-assisted review, MotionLint captures page screenshots or 50-millisecond animation frame bursts. The frames can be assembled into contact sheets for analysis. Providers can be selected explicitly, or MotionLint can detect a reachable Ollama service, Anthropic key, OpenAI key, or Google key. With no provider available, the pipeline can use a deterministic mock provider for smoke testing.

The bobaba99/motionlint MCP server is started as a stdio process with npx -y motionlint mcp, allowing an MCP client to invoke the package from an agent session.

Setup and configuration

Install the browser dependency first:

Terminal
npx playwright install chromium

Register the server with an MCP-compatible client using:

Terminal
claude mcp add motionlint -- npx -y motionlint mcp

No API key is needed for the deterministic audit. Vision review can use ANTHROPIC_API_KEY, OPENAI_API_KEY, or GOOGLE_API_KEY, or a local Ollama instance at its automatically detected address. MotionLint loads these values from a .env file in the working directory, while real environment variables take precedence. Provider and model selection are also available through command-line options.

Tools and capabilities

The bobaba99/motionlint MCP server provides access to MotionLint workflows including:

  • Auditing a URL against deterministic animation standards.
  • Reviewing a page across multiple viewports and UX dimensions.
  • Reviewing scripted journeys with captured animation frames.
  • Tuning page animations through an interactive HTML interface.
  • Discovering routes from a sitemap or Next.js app directory.
  • Reviewing Storybook stories through their iframe routes.
  • Checking light, dark, and forced-colors modes.
  • Producing HTML or SARIF reports for sharing and CI code-scanning workflows.
  • Comparing a preview URL with a production baseline.

The command-line package also supports interaction state grids, finding limits, and provider evaluation. These options may be useful when an agent needs focused findings or CI output rather than a full report.

Limitations and notes

The deterministic checks only evaluate behavior that can be observed on the loaded page. The target must be reachable by the browser, and Chromium must be installed locally. Model-assisted review requires a configured provider unless the mock provider is sufficient for a smoke test; provider output is therefore separate from the offline audit.

The README specifically documents use with Claude Code and Cursor. Reports, screenshots, videos, and flow artifacts are written under .motionlint/ paths when using the corresponding MotionLint workflows. The project is released under the MIT license.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

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Last commit
2mo ago
Most recent push to the default branch.
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Frequently Asked Questions about Motionlint

bobaba99/motionlint is an MCP server that connects AI coding agents to MotionLint's live web-page analysis. Its main tools support deterministic animation audits, multi-viewport UX reviews, scripted flow and frame analysis, and interactive motion tuning through the MotionLint command-line package. The deterministic checks require no API key.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 6, 2026
Views1
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 27, 2026
47Quality signal: Fair Β· 47/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Scanned 6d ago via OSV.dev Β· motionlint (npm)

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