"How to access browser console for debugging and error rectification" matching MCP servers:

Enables AI assistants to access and manipulate Figma designs, including extracting design systems, creating and debugging UI components, and syncing design tokens bidirectionally.

Model Context Protocol server that bridges design and development, giving AI assistants complete access to Figma for extraction, creation, debugging, and bidirectional token sync.

A Model Context Protocol server that bridges design and development by giving AI assistants complete access to Figma for extraction, creation, debugging, and bidirectional token sync.

Bridges AI assistants with Figma for design system extraction, bidirectional token sync, visual debugging, and design creation.

Enables a live two-way bridge between a running web app and Figma, letting users push app screens into Figma as auto-layout frames and sync edits in both directions—Figma changes update the source code, and code changes update the Figma frames.

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

A powerful MCP server for UI designers and developers to extract, analyze, and clone website front-end code (HTML, CSS) with pixel-perfect accuracy using browser automation.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.

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.

Enables an agent to turn a paper's draft into editable Figma frames for publication-ready figures, checking every number against the paper and verifying the exported PDF.

Enables AI agents to read, inspect, and edit Figma files through a Model Context Protocol server with 107 tools, visual snapshots, fidelity tools, and optional REST API access.

MCP server that extracts accessibility tree, design tokens, screenshots, Claude DSL, and Figma JSON from any URL using a persistent Chromium browser with zero LLM cost.

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

Enables AI assistants to read, create, and modify Figma designs, synchronize design tokens bidirectionally, and auto-document component-variant sets via Obra Autodocs integration.

Enables agents to create and edit Figma text using fonts installed locally on the user's computer, without uploading font files, through a local MCP bridge and companion Figma Desktop plugin.

Converts a Figma file into a React project using Ant Design, AG Grid, ApexCharts, and Tailwind CSS, with optional export of mobile screens as a React Native (Expo) app.

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.

Extracts SVG icons from Figma and generates React TSX icon components automatically, enabling AI assistants like GitHub Copilot and Claude to manage icon workflows.

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

Enables MCP clients to inspect FreeCAD documents and export named solids to STL, find and derive OrcaSlicer presets, preview and run slices with recorded manifests, and then read G-code metadata, query a Moonraker printer, upload G-code, and start an uploaded print as a separate confirmed step.