"Exploring text-to-image generation techniques" 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.

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.

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.

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

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.

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

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.

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.

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

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.

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.

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 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-powered image generation, icon creation, hero banner design, and UI beautification using Google's Gemini Nano Banana API.

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

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 Code to generate and iteratively refine images through OpenAI's Responses API, branching from any earlier image by its short id and using pasted screenshots, local files, URLs, or library images as references. Results are previewed in a live local gallery and stored in an iCloud-synced library with JSON sidecars for prompts, lineage, and usage.

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 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.