"CodeQL for Code Auditing" matching MCP servers:

Injects the Code-Me brand identity, tone, and visual guidelines into LLMs with zero latency using built-in context files.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Connects MCP-aware AI clients to a live SketchUp session so users can create and modify 3D models, apply materials, perform booleans and joinery, and export scenes through natural-language prompts.

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.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

Provides Figma integration, accessibility auditing, and React code generation tools.

Provides deterministic UI/UX intelligence and systems performance auditing tools for AI coding agents, enabling generation of accessible, well-designed React/Tailwind interfaces and elimination of backend anti-patterns like N+1 queries and sequential waterfalls.

Enables Claude Desktop to control FreeCAD for 3D CAD modeling, including creating, editing, and deleting objects, executing Python code, and running FEM analyses.

Enables AI coding agents to enforce UI/UX best practices and backend performance auditing, providing design guidelines, compliance checks, component search, and performance optimizations to eliminate generic or sloppy code.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Provides 8 MCP tools for frontend design: load design system, generate components, scaffold pages, review consistency, extract tokens, check WCAG 2.2 AA, test responsiveness, and export to Figma.

Provides design capabilities including requirement analysis, visual token extraction, design generation, and visual auditing.

Enables OpenAI Codex to drive real Onshape parametric CAD via 69 tools for documents, sketches, features, assemblies, parametric updates, FeatureScript, vision, and export.

Enables brand-guided design generation by creating social media graphics, quote posts, and one-page layouts from a fictional sample identity, with asset validation and auditing.

Enables AI assistants to inspect and organize Adobe Premiere Pro projects, edit timelines with frame-accurate cuts and trims, animate motion and opacity keyframes, and trigger exports through natural language.

Enables controlling CLO3D from any MCP client to inspect projects, create and edit patterns, manage fabrics and colorways, run simulations, and export models through chat.

An MCP server for elite Arabic and bilingual RTL/LTR UI/UX design, providing tools for design pipelines, anti-AI-slop auditing, RTL layout conversion, Arabic typography optimization, and accessibility checks.

Enables AI clients to inspect, visualize, modify, launch, and manage Autodesk BIM models, views, families, and documents through a local authenticated bridge, including direct code execution.

Enables Codex to interact with and control FreeCAD 1.1.x locally through typed MCP tools, including health checks and an optional Python execution escape hatch for direct document manipulation.

Enables local creation and verification of Rhino .3dm architectural models from JSON specs without Rhino or a license, including inspection, two-view PNG rendering, evidence auditing, and optional Blender rendering/import.

Enables AI assistants to programmatically inspect projects, create compositions and layers, apply effects, animate properties, and manage render jobs in Adobe After Effects through natural language.

Gives AI assistants tools to look up craft palette colors by code or name, find the closest match to any hex color ranked by CIEDE2000, and convert a code from one brand into its nearest equivalents in another. It covers 3,689 codes across fuse beads, seed beads, floss, diamond painting, yarn, LEGO and Minecraft so answers come from data rather than memory.

MCP server for ingesting UI screenshots, Figma MCP node JSON, or hybrid Figma-plus-screenshot sources into a cross-platform design-to-code artifact pipeline.

Connects MCP-compatible AI assistants to Azgaar's Fantasy Map Generator so they can view, inspect, edit, and export fantasy maps in a live local browser, including borders, states, terrain, layers, and files. It runs locally and offline after installation, supports collaborative manual editing, undo, autosave, and text-only map output for models that cannot see images.

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

Node.js MCP server enabling AI assistants to interact with Autodesk Revit for model operations, data queries, and sketch-to-building generation via LLM.

Enables deterministic headless operations on AutoCAD 2021 (English) drawings, including inspection, mutation, parametric drawing, topology auditing, preview capture, and validated AutoLISP execution with rollback and security safeguards.

Enables Claude to interact directly with Figma Desktop for creating UI components, managing design tokens, and auditing files through natural language. It establishes a live connection between the AI and the Figma API via a local server and companion plugin.

Enables AI coding agents to read and write a user's Figma file through the Figma Plugin API, offline and privately, without API tokens or rate limits.

A local, offline MCP server that enables AI agents to collaborate with SketchUp for controlled modeling, editing, and review tasks via 41 MCP tools.