"Information about medical law" matching MCP servers:

Exposes information about Z-Image AI image generation and editing platform, including styles, pricing, and official links, for MCP-compatible AI clients.

Use Claude to control or ask questions about your Altium project.

Use Claude to control or ask questions about your Altium project.

MCP server providing AI assistants with comprehensive documentation about @deay/ui components, including props, examples, best practices, and Figma design specifications.

Manages design tokens (colors, spacing, fonts) in a JSON file and enables agents to read, write, export, and detect drift between tokens and CSS via MCP.

Art-directed website prompts delivered as slash commands in Claude Code, Claude Desktop and Cursor: hero sections, landing pages, SaaS, portfolio, e-commerce and 3D/WebGL scenes. Each build is registered as a real MCP prompt and written natively for the tool you are in (Lovable, Bolt, Cursor or Claude), with a live demo you can scroll before spending a token.

Exposes tools to ingest FigJam boards, retrieve context summaries, and answer free-form questions about the board content.

Enables coding agents to read ground truth about a React design system — components, props, cva variants, tokens and docs — over MCP so they write UI that matches it. It also exposes a check_ui linter agents run on their own output, returning rule ids, locations and concrete fixes before review.

thicken turns photos of a real object into a GLB model at its real size and its metadata as JSON, read off the object by vision models and looked up in public catalogs. What it knows about each kind of object lives in a profile: a few come with thicken, and you can add your own.

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

Enables AI-driven interior, exterior, and landscape design, photoreal rendering, image editing, video generation, and 3D model creation directly inside Claude, Cursor, VS Code, and other MCP clients. It also supports virtual staging, sketching to render, texture and pattern generation, background removal, and architectural consultation through natural language.

Caches Figma file data locally and provides an MCP server for AI agents to search and retrieve design nodes efficiently, minimizing API calls.

Enables controlling a local Blender instance through natural language or code, allowing arbitrary Python/bpy execution and querying scene or object information via MCP.

Enables AI clients to search a library of 2,800+ science illustrations, fetch SVG content and metadata, and download icons locally, with category/license filtering and attribution information.

Enables Codex to inspect a native After Effects project, make scoped edits, and render frames for review through a local macOS bridge. It exposes MCP tools that drive a named After Effects worker without requiring an in-app panel or separate chat client.

MCP server for Blender that connects to the official Blender Lab add-on, exposing 27 tools for scene manipulation, object editing, materials, rendering, and Python execution through the add-on's actual wire protocol.

Enables Claude AI to extract design information from Figma files and create or update designs via a Figma plugin, supporting both readonly and write modes.

Enables users to generate rigged, game-ready gun models in Blender from parameterized presets or platforms, including attachments, animation clips, fact sheets, and reference-photo validation.

Local MCP server for parsing Sketch exported HTML zip archives and extracting design structure information.

Enables game gun models to be given physically based surface finishes across material slots and wear levels, with wear baked once into vertex-colour masks for edges, handling, rubbing parts and dirt. It also validates finishes and wear against physical rules, renders look-dev variant sheets, and exports per-slot engine material parameters.

Enables AI assistants to create, edit, and export IFC5/IFCX building information models through natural language, handling spatial structure, elements, geometry, metadata, validation, and export.

Enables AI clients to track first-person weapon bugs as measurable cases, run a game's own probe to gather metrics and screenshots, and compare candidate fixes against a baseline before a change is approved. It also reads posed weapon parts dumps, rebuilds animation clips in Blender, and validates probe contracts.

Provides AI assistants with access to WordPress Design System component information and design guidance.

Enables AI agents to interact with Storybook by exposing UI component information and development workflows through the Model Context Protocol.

Enables Claude to interact with Adobe XD files, extract design information, and generate React components from designs.

Enables parsing of PSD files and extraction of layer information, design tokens, and assets to assist LLMs in converting designs to code.

It exposes five streamable-HTTP tools that add service and FAQ information, Figma or URL-to-DX component generation, session-based user identity lookup, and diagnostics to an existing DX IQ deployment.

Transforms Figma design data into a compact, LLM-friendly format for code generation, reducing size by 99.5% while preserving UI-critical information.

Enables managing Cacoo diagrams, folders, organizations, and account information through MCP tools over HTTP, with OAuth-based authentication, email allowlisting, and support for multiple Cacoo accounts.

A Model Context Protocol (MCP) server that enhances Figma design integration by adding element position information to API responses, enabling AI assistants to better understand spatial relationships and convert designs to code more accurately.