"A guide to creating 3D models in Blender" matching MCP servers:

Enables comprehensive control of Blender 3D from Claude Desktop, offering 26 tools for object manipulation, scene management, and material editing. It supports asset integration from platforms like Poly Haven and allows for direct execution of custom Python scripts within the Blender environment.

Enables remote control of Blender via the Model Context Protocol, allowing users to execute Python scripts, query scene data, and generate 3D models from images. It provides a bridge for AI clients to interact directly with Blender's internal environment and automate 3D content creation.

A server that integrates Blender with local AI models via the Model Context Protocol, allowing users to control Blender using natural language prompts for 3D modeling tasks.

BlenderMCP connects Blender to AI agents via the Model Context Protocol, enabling direct 3D object manipulation, material application, asset downloads, and Python code execution with secure token-authenticated local communication.

Enables AI-assisted 3D modeling workflows by connecting Blender with LLMs and CSM.ai, allowing text-based editing, asset retrieval from CSM.ai sessions, and humanoid animation using Mixamo files.

Connects AI assistants to Blender for controlling 3D modeling operations through natural language, enabling creation of objects, applying textures and materials, scene management, and transformations with optimized token efficiency.

A Model Context Protocol server that allows management and execution of Blender Python scripts, enabling users to create, edit and run scripts in a headless Blender environment through natural language interfaces.

Enables AI agents to drive Blender 5.1+ for modeling, sculpting, mesh editing, scene management, and rendering through live Python execution.

Turn natural language into 3D models in Fusion 360. 64 CAD tools including sketches, extrudes, fillets,and JIS standard parts.

Enables interaction with 3D printer management systems through an MCP server, supporting STL file manipulation, slicing, and control of printers like OctoPrint, Klipper, Duet, and more.

Enables LLMs such as Claude to drive Blender through high-level tools for real-world-scale modeling, PBR texturing, lighting, rendering, rigging/animation, and UE5 game-asset baking and export. It also provides asset-library search, reference comparison, quality inspection, and import/export of common 3D file formats.

Enables local, versioned Blender character and shot production through fixed immutable stage transitions — reference import, blockout, mesh, retopology, look development, groom, rigging, animation, and rendering — with review gates, approvals, packaging, and resumable job control. It exposes these production operations over MCP instead of executing arbitrary Blender Python, keeping every write deterministic and caller-specified by exact source version.

Enables AI agents to control Blender through 150+ tools across 24 modules, including modeling, materials, lighting, animation, rendering, mesh quality analysis, and visual feedback, plus expert prompts and goal-first workflow management.

Enables Claude Code to control Firefox through tools for tabs, navigation, clicks, typing, scrolling, screenshots, page reading, forms, JavaScript, and console/network logs.

Connects an AI agent to Blender 5.2 LTS over stdio, letting it read the scene hierarchy, create and transform primitive meshes, assign Principled BSDF materials, delete objects, save .blend files, and run raw bpy scripts through 12 tools. A two-process socket bridge keeps bpy calls on Blender's main thread, so no pip packages or admin rights are needed inside Blender.

Transforms Blender into an MCP server with 50+ tools for AI-driven 3D workflows, enabling complete control over objects, materials, animations, physics simulations, and rendering through natural language commands.

Unreal-Blender MCP is a unified server for controlling both Blender and Unreal Engine via AI agents using the MCP (Machine Control Protocol) approach.

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 control a live Blender session, including scene and object operations, rendering, and PolyHaven asset workflows. Supports provider-agnostic LLM backends that can be switched at runtime through MCP tools.

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.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

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 control a live Blender session through MCP tools for scene inspection, object creation and editing, rendering, and PolyHaven asset management, while supporting provider-agnostic 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 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.

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 AI agents to control a live Blender session over the Model Context Protocol, exposing tools for scene and object manipulation, rendering, code execution, and PolyHaven asset downloading. It also routes prompts to a provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, or Azure) that can be switched at runtime.

Enables AI agents to control a live Blender session through MCP, including scene and object manipulation, rendering, PolyHaven asset integration, and runtime-switchable LLM backends.

Enables AI agents to drive a live Blender session over MCP — inspecting and creating scene objects, applying materials, rendering, executing code, and fetching PolyHaven assets. It also exposes prompt, provider, and model tools backed by a provider-agnostic LLM layer (Ollama, LM Studio, llama.cpp, OpenAI-compatible, Azure) that can be switched at runtime.