"How to check differences between files" matching MCP servers:

Enables reading and patching VRoid Studio 2.x .vroid files by inspecting textures and parameters, exporting layer PNGs, and writing verified new files with replaced layers, item colors, or saved settings.

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.

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.

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

MCP server that parses .sketch design files into CSS-aligned, LLM-friendly JSON, enabling AI coding agents to generate high-fidelity HTML, Vue, or React code.

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.

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 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.

Enables Cursor AI to read and modify Figma designs programmatically via the Model Context Protocol.

An MCP server that integrates AI agents with Figma, enabling reading and programmatic modification of designs.

Enables AI agents to directly control Figma Desktop via MCP, supporting UI creation, editing, prototyping, and variable management with over 60 tools.

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

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.

Enables AI agents to read, analyze, and modify Figma designs, including bulk style updates, accessibility audits, comment triage, and code generation from designs.

Enables Cursor AI to read and modify Figma designs via the Model Context Protocol, allowing programmatic control over documents, components, styles, and more.

Enables safe, AI-driven CATIA V5 modeling through 36 guarded tools for creating and inspecting parametric CATParts, including sketch, part design, GSD/surface, and transaction operations, while preventing mutation of existing documents.

MCP server that enables AI agents to read, analyze, and modify Figma designs, including comment management via Figma's REST API. Works with any Figma account and supports parallel execution.

Converts Figma to Markdown. Strips out visual noise to drastically reduce LLM token consumption.

Enables AI agents to read and modify Figma designs programmatically through WebSocket communication, supporting document manipulation, styling, text replacement, and component management.

Enables AI assistants to write and execute C# code directly inside Autodesk Civil 3D, providing full API access through code generation and execution.

The pixel-diff verifier for Figma-to-code: converts a frame to HTML, React, Next.js or Tailwind with design tokens, then renders it and pixel-diffs it against Figma until it converges. Also verifies your own running app.

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 AI agents to read Figma designs and modify them programmatically, including creating and styling elements, editing text, managing layout and components, exporting images, and working with annotations and prototype connections.

Enables AI agents to extract design systems, analyze components, and maintain design-code consistency from Figma files, providing intelligent component analysis and accessibility compliance.

Enriches Claude with tools to generate brand-consistent images using OpenAI's gpt-image-2 and upload them directly to Notion pages.

Enables an MCP-capable AI client to drive a locally installed, licensed Autodesk Inventor through its COM API for local modeling tasks. It supports creating and updating a rectangular plate and a parametric quickchanger concept assembly, opening and inspecting parts and assemblies, and returning viewport previews.

Enables Codex to inspect and import files from Claude Design projects by bridging Claude Code's authenticated MCP access over stdio.

Enables reading .xd artboards, layers, text, styles, images, components, and prototype links, plus rendering artboards/layers and exporting full-height HTML with selectable text, assets, transitions, and interactions.

Enables agents to turn paper TeX sources into editable native Figma research posters by reading the active Figma page, validating scene data, building poster frames, and rendering actual Figma exports for review.

Enables AI agents to automate drafting end to end — drawing mechanical parts, P&IDs, and architectural plans, then verifying measurements against source requirements, critiquing quality, and delivering DWG/DXF files. Runs live through COM on Windows or headless anywhere via ezdxf, exposed as typed tool packs so clients only load the capabilities they need.

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.

Enables MCP clients to read design structure, take screenshots, create nodes, and edit UI directly on Figma canvas via a bridge between MCP and Figma Desktop.

Lets AI agents browse, inspect and install Bladewell's Blade + Tailwind CSS v4 UI widgets in a Laravel app: list components, read their props and examples, check which installed files are out of date or edited, and add widgets (dry run by default). Runs inside the app with php artisan bladewell:mcp.

Enables converting natural-language descriptions into CGA rule source and ready-to-render 3D city building models, returning glTF/glb files with verified downloads. Also lets clients browse showcase demos and check API key quota through read-only compute calls.

Enables MCP clients to drive native CAD and 3D applications—Autodesk Fusion, Blender, and Unreal Engine—by planning work, executing trusted Python, inspecting real geometry, revising editable source files, and handing assets between applications. Each job keeps durable state, revision checks, and artifact hashes, with role-based handoffs for planning, modeling, geometry QA, interchange, and review.

Lets AI clients drive a headless FreeCAD instance to build and inspect parts, check mass and interference, run finite element analyses, and produce drawings, bills of materials and export files. Every call returns numeric results and rendered PNG views so the model can verify its own work.

Enables AI assistants to read and modify Figma designs programmatically through the Model Context Protocol.

Enables trusted local AI agents to create, inspect, edit, save, reopen, and export isolated headless KiCad 9 PCB board files, including native design-rule-check reports, through typed MCP tools. Operations are bounded to native pcbnew and kicad-cli calls within a single explicit trusted workspace, with no arbitrary script execution, live PCB Editor control, or IPC access.