"Troubleshooting JavaScript Code" matching MCP servers:

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

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.

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.

It bridges Codex to a running EasyEDA Pro (JLCEDA) instance over the official Run API Gateway, so the agent can check bridge status, list and select connected EDA windows, and execute JavaScript against the live editor runtime. This enables scripted inspection and modification of schematics, PCBs, and libraries (e.g. creating, reading back, and deleting primitives) directly from an AI assistant.

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.

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

Provides tools and resources for interacting with xTool laser machines, enabling material settings recommendations, design generation, troubleshooting, and machine knowledge through natural language.

Enables MCP-compatible AI clients to read and modify the user's currently open Figma file by executing JavaScript in Figma's sandbox, all through a local bridge with status monitoring, node jumping, and automatic rollback on errors.

HyperWeave gives agents a visual output surface: structured data in, branded SVG out. No JavaScript, no runtime. Works anywhere an image can be embedded. Badges, cards, charts, dashboards, diagrams, and more.

Enables MCP clients to control Cavalry motion graphics projects through its local JavaScript API, supporting scene and layer inspection, creation, editing, keyframing, expressions, saving, and rendering with validated structured results.

Transform Figma designs into pixel-perfect React + Tailwind components using the Model Context Protocol.

Enables LLM clients to work with Vantage to inspect and modify scene state, open/save files, probe object properties, and run VScript payloads.

Orchestrates Rive animations by enabling discovery, integration, and composition across frameworks like React and Vue, with code generation and multi-backend storage.

Enables bots to send JavaScript scripts to Adobe Illustrator and view the results, using AppleScript on MacOS.

Design contract layer for AI agents. Scans Figma, code, Storybook, and token files, reconciles conflicts, and serves a single machine-readable source of truth so every agent gets the same authoritative design rules before it builds. Local-first.

Enables MCP-capable LLMs to generate and render ephemeral Prefab UI interfaces at runtime, with tools for generating UI code and searching Prefab components.

AI-native design engineering platform that converts Figma or live websites into a semantic design graph for code generation, and generates Figma designs from prompts with a self-improving director loop.

Custom MCP server that lets AI control Autodesk Maya 2022+ directly, using code execution and self-discovery rather than hundreds of predefined tools. Includes structured tools for Unreal Engine asset preparation, validation, and FBX export.

Connects MCP clients to a local Blender + Bonsai (BlenderBIM) session for scene inspection, IFC project querying, viewport screenshots, and executing Python code in Blender.