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

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

A universal Model Context Protocol implementation that serves as a semantic layer between LLMs and 3D creative software, providing a standardized interface for interacting with various Digital Content Creation tools through a unified API.

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

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.

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.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.

MCP server that lists available GitHub Models and compares responses from multiple models for the same prompt.

Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.

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 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.

Exposes 50+ Blender tools (object manipulation, materials, animation, etc.) via MCP for AI-driven 3D workflows and automation.

Enables to perform mathematical calculations, retrieve weather information, and manage files through a standardized MCP interface, showcasing best practices for building MCP servers.

Enables programmatic control of Blender via OpenCode, supporting 3D model creation, material application, and export through a Model Context Protocol server.

An MCP server that helps interact with and compare different GitHub Models, enabling listing, filtering, and comparing model responses.

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.

Enables AI agents to control Blender 3D through 27 tools for scene manipulation, materials, modifiers, animation, and rendering, with native Python integration built in Rust.

Enables safe, structured control of Blender on Windows via a standalone STDIO MCP server, providing seven tools to inspect scenes, list and edit materials, transform objects, add modifiers, set smooth shading, and export assets without arbitrary code execution.