"Amazon RDS" matching MCP servers:

An MCP server that supercharges AEM Edge Delivery Services development in IDEs by providing tools for scaffolding blocks, validating code, and generating configurations directly through natural language.

Exposes SigmaUI Design System components to AI assistants, providing tools for component documentation, search, usage examples, and design tokens to accelerate Vue 3 and Nuxt 3 UI development.

MCP server for the Lando Labs Design System, enabling AI agents to introspect and generate code for React components, hooks, icons, design tokens, and theme presets via 15 tools.

Read-only MCP server that exposes a design system's tokens, components, conventions, and deprecations as queryable tools, enabling agents to look up canonical values, assess change impact, and detect hardcoded value drift.

Exposes Levit design system (GDS) metadata to AI coding tools, enabling queries about color tokens and component usage via natural language.

MCP server that exposes the @bunge/ds-components design system catalog, allowing AI assistants to list, search, and retrieve component details including inputs, outputs, usage examples, and import instructions.

Provides UI architecture analysis for converting Figma designs or web pages into reusable UI code blocks with effort estimation in CSV format.

An MCP server that brings the Phenom Angular Design System into Claude Code and Cursor, enabling AI-assisted development with real-time access to component metadata, APIs, and documentation.

Syncs design tokens and components from Figma to a Design System codebase, enabling automated generation of React components and Storybook stories.

Enables AI agents to access design system tokens and component contracts through MCP, reducing token usage and ensuring consistency.

Enables AI IDEs to query Figma design tokens, component specs, and audit issues via MCP tools, without cloud subscriptions.

A read-only MCP server that provides AI coding agents with a queryable contract for design system tokens, components, patterns, and anti-patterns.

MCP server that exposes your design system components and tokens to AI agents, preventing duplicate component creation and hardcoded token values.

Standalone backend for a self-hosted Excalidraw fork with per-board access control, providing an MCP remote endpoint that lets AI agents draw on real collaboration boards as specific users.

Enables AI assistants to search, understand, and generate code for design system components by syncing and indexing a component library.