"How to Create a 3D Model Using Blender" matching MCP servers:

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

Enables coding agents to visually inspect and diagnose 3D files (meshes and Gaussian splats) for defects like flipped normals or floaters, without GPU dependencies.

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.

MCP server for generating images using Gemini, supporting multiple aspect ratios and both AI Studio and Vertex AI backends.

An MCP server that generates and edits images using OpenAI's GPT Image model, allowing users to create images from text descriptions and edit existing images through natural language.

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 AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through 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.

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.

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

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

Enables AI agents to drive a live Blender session for modeling, shading, lighting, rendering, and scene manipulation, returning rendered images for visual feedback.

MCP server that enables AI to control Blender 3D, providing 175 typed tools for objects, materials, animation, compositing, and more via the Model Context Protocol.

Enables AI-driven 3D model generation and manipulation using OpenSCAD through natural language commands. Users can create primitives, apply transformations, perform boolean operations, and export models to various formats like STL and OBJ.

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.

Enables AI assistants to analyze Blender 3D models for topology issues like n-gons and provide real-time improvement suggestions directly within Blender through an integrated add-on.

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.

MCP server for generating print-ready 3D models from text descriptions via a multi-agent pipeline, enabling AI assistants to create and optimize STL files.

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.