"Discover" matching MCP servers:

An MCP server that enables AI assistants to search, discover, and install Aceternity UI components programmatically.

Enables AI assistants to discover and route commands to running Autodesk desktop applications through a dynamic local registry, avoiding port conflicts and static reconfiguration.

Enables AI assistants to discover, connect to, and control LightWave3D Modeler and Layout programmatically via the Command Port.

Search and discover Lottie animations through MCP tools, deployed on Cloudflare Workers.

Enables AI coding assistants to search, discover, and retrieve UI HUB components, source code, dependencies, templates, and animations via MCP.

MCP server for appCN - discover, search, install, and correctly use copy-paste React Native / Expo UI components (including an AI-native collection) from the live registry

Enables assistants to discover, search, and extract real design systems — palettes, type scales, spacing, surfaces, and do/don't guidance — from the public style pages of styles.refero.design. It reports index coverage with every search and renders matched styles as structured design.md sections or parsed JSON tokens.

MCP server for Aceternity UI components, enabling AI assistants to discover, search, install, and generate page layouts with 106 components.

Enables AI coding agents to discover, compare, select, and enforce design systems and component libraries, with installation guidance, component APIs, and strict adherence directives to prevent default substitutions.

Maps design components, tokens, and patterns to their code implementations, providing AI coding agents with exact-match resolution across any design tool and framework. Enables agents to reliably discover and reuse existing components across React, Vue, Flutter, SwiftUI, and more.

A Model Context Protocol server that exposes an airline design system as a queryable knowledge base, enabling AI to discover components, find components for use cases, and scaffold prototypes.

MCP server for UI research that helps agents discover visual patterns, generate original HTML/CSS components, and track deliverables without copying third-party code.

MCP server for Shadcn Dashboard that enables AI to discover, search, and install UI blocks directly into projects without copy-paste.

Automated MCP server for the Insider Design System. Enables AI assistants to discover, understand, and generate code for over 60 Design System components with automated extraction from source code.

Enables an AI agent to discover Material Maker nodes, validate and build procedural material graphs through an undoable batch, and compare real 3D previews and labeled PBR maps returned as images. It also runs bounded parameter sweeps that restore the source state, and exports maps with manifests listing filenames, channels, sizes, hashes and changed-file state.

Enables AI agents and clients to discover and use 75 V5 design-automation tools for templates, images, animations, media jobs, workflows, assets, publications, webhooks, and Instant URLs, with explicit mutation approval, local previews, and isolated private workspace profiles.

Enables agents to discover cinematic website templates, generate executable scroll and WebGL code, create design systems, inspect HTML, validate assets and dependencies, and plan source-delivery and launch QA through 40 validated tools, resources, and prompts.

Enables AI agents to discover and invoke native ArtCraft application capabilities over stdio MCP, creating and editing documents, saving editable projects, and exporting deliverables across supported apps.

Enables coding agents to discover templates and exact output sizes, render App Store, Google Play, iPhone Duo and Creative Assets from real app screenshots with multilingual captions, create editable project files, and inspect exported dimensions and PNG alpha against presets.

Enables AI agents to discover, inspect, compare, and resolve local fonts and typography through bounded search, paging, family inspection, exact assets, contextual compositions, and preview images, while keeping fonts and model inference local.