"Using Cursor, Claude, and Windsurf MCP with Godot Engine" matching MCP servers:

Enables AI assistants to fully access and manipulate Godot editor projects, including scenes, scripts, nodes, and settings, with an interactive visualizer.

Enables Claude Desktop to control and interact with the Godot Engine editor through the Model Context Protocol. It supports dynamic scene generation and direct asset importation via Meshy API integration.

Connects Claude directly to Godot 4 projects to read and manipulate scenes, nodes, scripts, and assets within the editor. It enables real-time scene tree management, script editing, and resource configuration through a local Node.js bridge and GDScript plugin.

Analyzes Godot game projects to enforce ECS architecture patterns, automatically detecting when scene scripts contain game logic that should be in the ECS layer and validating separation between presentation and logic code.

Enables complete natural language control of Godot Engine 4.5+ with 76 tools for managing scripts, scenes, nodes, animations, physics, tilemaps, audio, shaders, navigation, particles, UI, lighting, assets, and exports. Integrates with Claude Desktop, VS Code, and Ollama for AI-assisted game development.

A lightweight sketch canvas that lets users draw ideas and sync them in real-time to AI via MCP, enabling visual communication without exports.

Generates tailored system architecture recommendations based on business parameters like QPS, concurrent users, database type, and AI model size, providing resource allocation plans, middleware suggestions, and exportable architecture diagrams.

Enables analysis of any GitHub repository to get architecture, file roles, execution flows, system design Q\&A, and structured agent context. Works with MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

Generates draw.io diagrams and architecture designs from natural language prompts using DrawX API, integrating with Claude, Cursor, and VS Code.

AI-powered codebase health analysis — detects dead code, circular dependencies, coupling issues, and architectural drift. 6 MCP tools for Claude Desktop, Cursor, Windsurf, and Slack.

A design orchestrator that brings Superdesign capabilities to Claude Code as native tools, enabling AI-powered UI design, wireframing, component creation, and logo/icon generation without requiring Anthropic API keys.

BlenderMCP enables Claude AI to directly interact with and control Blender for prompt-assisted 3D modeling, scene creation, and manipulation. It supports object and material control, scene inspection, and execution of Python code through natural language commands.

Enables interaction with IcePanel for architectural diagram management via MCP clients, such as Claude Desktop, Cursor, and Windsurf. Deprecated in favor of a remote MCP server.

Enables querying event-driven architecture documentation including domains, services, messages, and schemas through MCP clients like Claude and Cursor.

GOLEM-3DMCP implements the Model Context Protocol to give AI agents direct, programmatic control of Rhino 8 — create geometry, run booleans, drive Grasshopper, capture viewports, and execute arbitrary Python scripts, all through natural language. Works with Claude Code, Cursor, Windsurf, and any MCP-compatible host.

Enables AI IDEs to chat with, search, explain, refactor, and audit a local codebase without uploading source code, returning answers backed by file-and-line source citations, confidence scores, and severity labels, plus audit and board-ready strategic reports. Runs locally and standalone as an MCP server compatible with Claude, Cursor, Windsurf, and DeepSeek Harness.

This project integrates tldraw with Claude AI using the Model Context Protocol (MCP). It allows Claude to create and manipulate diagrams based on natural language instructions.

Generates GCP architecture diagrams, sequence diagrams, flow charts, and class diagrams using Python diagrams DSL via MCP.

Enables AI coding agents to list, read, create, update, delete, and render PlantUML and Mermaid diagrams, and check them against the actual codebase to detect architecture drift.

Offline MCP server for SAP ABAP static analysis, ABAP Cloud readiness scoring, and RAP scaffolding. It enables AI agents to lint ABAP source, compare reworks, check released APIs, and generate RAP business objects without needing an SAP system.