"Guide to Creating 3D Models in Blender" matching MCP servers:

Enables searching, comparing, and inspecting AI models by pricing, context window, and capabilities via the models.dev catalog.

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.

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

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.

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

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 agents to manage multiple 3D printers via MCP, including monitoring temperatures and progress, uploading and slicing models, controlling prints, and viewing cameras.

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.

MCP server that parses source code into a graph of symbols and relationships, enabling code structure visualization and blast radius analysis via interactive 3D force-graph.

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

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

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.

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-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.

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

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.

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

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