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    Provides real-time access to Material-UI component documentation, enabling users to search, browse, and generate MUI React components with up-to-date props and examples directly from official documentation.
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    Visual CVE audit dashboard for npm, Python, Go, and Rust projects. Scans your project manifests (package-lock.json, requirements.txt, go.sum, Cargo.lock) against OSV.dev live data, opens a browser dashboard for human review, then applies fixes only after explicit confirmation. Supports multi-service monorepos in one command.
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    12
    4
    MIT
  • A
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    Provides coding agents live access to shadcn-style component registries, enabling them to search, compare, and fetch real component source code for UI composition.
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    MIT
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    Enables communication between Claude Code sessions in iTerm2 panes, primarily for notifying other sessions when a PR is merged to main so they can pull latest changes.
    6
    MIT
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    An MCP server that lets AI agents see, act on, and verify the rendered Neovim UI, like a Playwright for Neovim. It provides tools to launch/attach to Neovim, observe the screen, send input, and wait for conditions.
    8
    MIT
  • A
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    Bidirectional MCP bridge enabling AI assistants to draw UI on Figma canvas and read designs back as structured data or code tokens via localhost, requiring Figma Desktop.
    5
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    MIT
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    Enables AI assistants to generate production-ready, professional UI design systems and components from simple descriptions, with real images, animated components, and automated quality checks.
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    🎨 AI-powered UI/UX design intelligence - 1519+ curated design resources through MCP | React, Vue, Next.js, Flutter & more
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    MIT
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    Enables MCP clients to read design structure, take screenshots, create nodes, and edit UI directly on Figma canvas via a bridge between MCP and Figma Desktop.
    10
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    MIT
  • A
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    MCP server for the coss ui design system, enabling AI agents to fetch components, props, and design tokens on demand for accurate, low-cost code generation.
    6
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    MIT
  • A
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    Enables AI agents to render interactive user interfaces such as forms, dashboards, charts, tables, and wizards directly in MCP-compatible clients. Supports structured data collection and richer interactions beyond text responses.
    6
    MIT
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    Enables AI assistants to present interactive choices to users via browser popups, supporting single and multiple selections with optional custom input.
    2
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    MIT