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

Enables AI agents to generate dimensionally accurate mechanical parts (gears, enclosures, brackets, assemblies) in headless Blender from plain-English specs or JSON parameters, then verify them against manifold, bounding-box and print-production gates and export glTF/STL assets. It also scaffolds interactive Three.js CAD viewer pages with orbit controls, wireframe toggles and exploded-view scrubbing.

Connects MCP-compatible assistants to Blender to read scene and selection context, and optionally execute user-requested Python through Blender's native API when explicitly enabled.

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 assistants to control a Blender instance through MCP tools, supporting scene creation, editing, and asset exchange via HTTP and background CLI processes.

Turns product ideas into rendered UI screen mockups and a buildable component manifest, so downstream agents can develop real screens from the generated designs.

Connects Blender 3D modeling software with Claude AI, enabling natural language control of 3D modeling and scene manipulation tasks.

Connects Blender to Claude AI through the Model Context Protocol, enabling prompt-assisted 3D modeling, scene creation, and manipulation.

Connects Blender to Claude AI via the Model Context Protocol, enabling natural language-driven 3D modeling, scene creation, and manipulation.

Connects Blender to LLMs, enabling prompt-driven 3D modeling, scene creation, and manipulation through natural language.

Enables LLMs to control Blender for 3D scene creation, object manipulation, material assignment, shader configuration, modifier application, keyframing, and rendering via the Model Context Protocol.

Enables MCP-compatible clients to control Blender for modeling, materials, animation, physics, rendering, scene inspection, documentation search, and asset/generation service integration. It exposes a stdio endpoint with many Blender operations for creating and editing 3D content.

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.

Create 3D models in Blender using natural language via an MCP server that lets AI agents directly control Blender, enabling complex 3D scene creation through conversation.

Enables LLMs to drive Blender through socket-based two-way communication, letting them create and modify 3D objects, apply materials, run Blender Python, and fetch or generate assets while visually verifying results. Supports prompt-assisted 3D modeling, scene creation, and manipulation.

Enables AI clients to control a running Blender instance through the Model Context Protocol, allowing scene inspection, object creation and editing, rendering, and execution of Blender Python. It works locally via a WebSocket bridge between the MCP server and a Blender add-on.

MCP server for AI-assisted Blender automation, providing layered tools for perception, declarative and imperative writing, and fallback operations.

A headless-first Model Context Protocol server for safe, deterministic Blender automation, exposing typed tools to inspect scenes and render previews without arbitrary command execution.

Enables to create, iterate, and export 3D models through natural language conversations with an LLM by bundling OpenSCAD via WebAssembly for zero-setup 3D modeling.

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 AI-driven 3D modeling in Blender by providing tools to create primitives, apply modifiers and materials, set up lighting and cameras, capture viewport snapshots, export assets, inspect scenes, and execute Python commands via natural language.

Enables Claude AI to control Blender 2.79 for 3D modeling, scene creation, and manipulation through the Model Context Protocol, with legacy compatibility for older Blender versions.

Connects Blender to Claude AI through the Model Context Protocol for AI-assisted 3D modeling, procedural geometry creation, and persistent multi-turn workflows with shared context and advanced tool chaining.

A Python-based MCP server for integrating Blender and 3D modeling capabilities with OpenClaw AI agents.

Lets agents see and drive a live 3D application session through its addon socket: viewport screenshots, turntable and multi-mode renders, scene and object inspection, arbitrary Python execution, GLB import/export and asset validation, plus rig, pose-deformation and silhouette-likeness checks. This lets an agent visually judge a 3D result instead of guessing.

Enables safe, repeatable preparation of game characters in Blender through high-level MCP tools for validation, import, normalization, action renaming, and GLB export, with dry-run by default and loopback-only security.

A simplified installation fork of the Blender MCP server, enabling control of Blender through natural language via MCP. Provides an automated setup script and easy add-on configuration.

An MCP server that builds and modifies Blender .blend files, supporting both headless generation and live interaction with an open Blender window.

Enables AI to construct 3D building models in Blender from Vietnamese architectural data, including walls, floors, columns, beams, stairs, and roofs, while reading DXF floor plans from AutoCAD and extracting quantities from the model.

Enables AI assistants to control Blender 3D software through natural language, with tools for modeling, materials, animation, rendering, and rigging.

MCP server that controls Blender via HTTP bridge, enabling 3D modeling, animation, and export operations from Cursor agent.