"A tutorial or tools for building 3D models in CAD software" matching MCP servers:

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 AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding 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 controlling CAD software (AutoCAD, GstarCAD, ZWCAD) through natural language instructions, allowing users to create and modify drawings without manually operating the CAD interface.

A demonstration server showing MCP implementation in Python with resource handling, tool operations, and reusable prompts for a simple user/post system with local database.

Enables users to control CAD software like AutoCAD, GstarCAD, and ZWCAD through natural language instructions via the Model Context Protocol. It supports automated drawing of shapes, layer management, and saving designs to DWG files without manual interface interaction.

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.

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

An MCP server that facilitates interactive software development planning by breaking down projects into manageable tasks, tracking progress, and saving implementation plans.

Facilitates software development planning through interactive sessions that break down projects into manageable tasks with complexity scoring, code examples, and implementation plan management.

Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans through the Model Context Protocol.

Agent-facing garment CAD control plane providing local stdio MCP servers, a shared Python SDK, preview/commit transactions, and GarmentCode-compatible serialization for designing garments programmatically.

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

MCP server for AI-driven CAD operations, enabling parametric modeling, build, inspection, measurement, rendering, and diff comparison with STEP, DXF, and GLB export.

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 Claude to function as a full-stack software engineer with comprehensive development capabilities including project creation, database management, frontend/backend development, testing, deployment, and DevOps operations across multiple frameworks and technologies.

MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution

Provides software development planning tools to help users create implementation plans and manage todo items.