"OpenAI Gym" matching MCP servers:

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

Enables dynamic UI template generation through natural language using Model Context Protocol, supporting multiple AI model providers like Bedrock, OpenAI, and Google.

Enables AI agents to drive a live Blender session through MCP tools for scene and object control, rendering, and PolyHaven asset download. It is provider-agnostic, letting users send prompts to and switch between Ollama, LM Studio, llama.cpp, OpenAI, and other OpenAI-compatible backends at runtime.

Enables MCP hosts to render OpenUI artifacts (inline or sidecar) for agent-generated UI components such as cards, dashboards, forms, and charts, with validation, versioning, and security controls.

A read-only MCP server that extracts actual Figma prototype flows, transitions, and per-screen interactions so agents can see navigational behavior rather than infer it. It reports explicit source and destination IDs with warnings for unresolved or ambiguous destinations, without guessing or writing back to Figma.

Enables converting layered PSD or PhotoshopToSpine exports into validated Spine 2D rigs, animations, atlases, previews, runtime JSON, and optionally editable .spine projects. It provides MCP tools and an OpenAI/Codex workflow for rigging, animation generation, validation, preview auditing, and batch processing.

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 OpenAI Codex to inspect and modify Adobe InDesign documents through a local, authenticated MCP bridge and UXP panel. It provides typed, allowlisted operations with workspace confinement, approvals, and one-step Undo.

Enables AI coding agents to build professional websites using a curated component registry, WCAG-verified design systems and tokens, a human-in-the-loop visual editor, and real-browser Chromium QA that verifies rendered pages and iterates on fixes. It exposes deterministic design decisions, screenshots and evidence-backed quality scores as MCP tools over stdio or Streamable HTTP.

Enables agents to generate, refine, save, validate, and read sanitized SVG assets from text prompts through a local OpenAI-compatible model, with tools for listing and managing SVG files.

MCP server and web dashboard for controlling AutoCAD Electrical 2027 via natural language, supporting MCC configurator and multiple AI backends like Claude, Ollama, or OpenAI-compatible models.

Enables AI agents to control a live Blender session through MCP tools for scene, object, material, render, and PolyHaven asset operations. It also exposes prompt and provider tools that connect to any OpenAI-compatible, Ollama, LM Studio, llama.cpp, or Azure LLM backend, switchable at runtime.

Enables AI agents to control a live Blender session through MCP tools for scene and object manipulation, rendering, and PolyHaven asset downloads. It works with any OpenAI-compatible, Ollama, LM Studio, llama.cpp, or Azure LLM backend, which can be switched at runtime without restarting.

Lets AI agents drive a live Blender session — reading scene and object data, creating, modifying and deleting objects, setting materials, rendering images, executing code, and downloading PolyHaven assets. Prompts flow through a swappable, provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, Azure) that can be reconfigured at runtime without restarting.

Enables AI agents to control a live Blender session for scene and object management, material and render operations, and PolyHaven asset access. It also supports runtime switching between provider-agnostic LLM backends such as Ollama, LM Studio, llama.cpp, and OpenAI-compatible endpoints.

Enables AI agents to control a live Blender session over the Model Context Protocol, creating, modifying, and inspecting scene objects, applying materials, rendering images, and pulling PolyHaven assets. Prompts can be routed through a provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, or Azure) that is configurable at startup or swappable at runtime.

Enables AI agents to control a live Blender session over MCP, creating and modifying objects, applying materials, rendering images, and downloading PolyHaven assets. It also routes prompts to a provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, Azure) that can be listed and switched at runtime.

Enables AI agents to drive a live Blender session over MCP — inspecting scenes, creating and modifying objects, applying materials, rendering, and pulling PolyHaven assets — while routing natural-language prompts through a provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible endpoints, or Azure) that can be switched at runtime.

Enables AI agents to control a live Blender session through MCP tools for scene and object manipulation, rendering, PolyHaven asset search/download/texturing, and guided scene workflows, while allowing runtime switching between local or OpenAI-compatible LLM providers.

Enables AI agents to drive a live Blender session over MCP by inspecting scenes, creating and modifying objects, assigning materials, rendering images, and fetching PolyHaven assets. It also exposes prompt-based scene building and review workflows backed by a provider-agnostic LLM layer (Ollama, LM Studio, llama.cpp, OpenAI-compatible endpoints, Azure) that can be switched at runtime.

Enables AI agents to control a live Blender session through MCP tools for scene and object operations, rendering, PolyHaven asset handling, and LLM prompting. Supports multiple configurable and runtime-switchable provider backends, including Ollama, LM Studio, llama.cpp, OpenAI-compatible endpoints, and Azure.

Enables AI agents to control a live Blender session, manage scene objects and materials, render images, fetch PolyHaven assets, and send prompts to configurable local or OpenAI-compatible LLM providers with runtime switching.

Enables AI agents to control a live Blender session through the Model Context Protocol, exposing tools for scene and object management, materials, rendering, and PolyHaven asset downloads. It also lets agents send prompts to a swappable LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, or Azure) and switch providers at runtime.

Enables AI agents to inspect and modify live Blender scenes, manage objects and materials, render images, retrieve PolyHaven assets, and send prompts to configurable local or OpenAI-compatible LLM backends.

Enables AI agents to control a live Blender session, inspect and modify scenes, manage PolyHaven assets, render images, and route prompts through configurable local or OpenAI-compatible LLM backends.

Enables AI agents to control a live Blender session for scene inspection, object creation/modification, rendering, PolyHaven asset handling, and LLM-assisted prompts. It supports provider-agnostic backends such as Ollama, LM Studio, llama.cpp, OpenAI-compatible endpoints, and Azure, with runtime switching via MCP tools.

Enables AI agents to control a live Blender session through the Model Context Protocol, including scene and object operations, rendering, PolyHaven asset integration, and prompt-driven workflows. It supports multiple local or OpenAI-compatible LLM backends that can be switched at runtime.

Enables AI agents to control a live Blender session through tools for scene and object manipulation, rendering, PolyHaven asset access, and guided prompts. It supports switching between provider-agnostic LLM backends such as Ollama, LM Studio, llama.cpp, and OpenAI-compatible endpoints.

Enables AI agents to inspect and control a live Blender session through MCP tools that create, modify, and delete objects, apply materials, render images, execute Python, and pull PolyHaven assets over a local TCP add-on. It also exposes a provider-agnostic LLM layer that can be pointed at Ollama, LM Studio, llama.cpp, OpenAI-compatible, or Azure endpoints and switched at runtime.

Enables AI agents to control a live Blender session by creating, modifying, rendering, and managing scene objects, textures, and PolyHaven assets through MCP tools. It also routes prompts across configurable local or OpenAI-compatible LLM backends that can be switched at runtime.