"Collaboration Between Multiple AIs via MCP (Master Control Program)" matching MCP servers:

Multi-stack scaffolding engine for generating production-ready module structures (NestJS, Java Spring, Python FastAPI) directly from an MCP-compatible AI client, reducing token usage for boilerplate code.

Generates professional Draw.io compatible diagrams (flowcharts, sequence diagrams, network diagrams, and custom diagrams) from natural language prompts, outputting XML files that can be opened directly in Draw.io.

Generate Control System Architecture (CSA) diagrams using PlantUML via the Model Context Protocol (MCP). Supports ISA-95 Purdue model, industrial symbols, and multiple protocols.

Enables Claude to create, open, and edit persistent tldraw whiteboards in real-time, with live collaboration between human and AI.

Cloud infrastructure provisioning via natural language. Enables deploying production-ready infrastructure on AWS, GCP, Azure, or Oracle with a single prompt.

Generates UML and other diagrams (30+ types) via the Model Context Protocol, supporting multiple output formats and deployment options.

An MCP server that generates diagrams from Mermaid code in multiple formats (PNG, PDF, SVG).

Enables creating, managing, analyzing, and visualizing knowledge graphs with support for multiple graph types (topology, timelines, changelogs, requirements, knowledge bases, ontologies) including node/edge management and resource association.

A comment-based spec-driven development MCP server that facilitates workflows from requirements creation to implementation via AI, using @spec-impl markers.

Enables AI assistants to directly control Autodesk 3ds Max through natural language to create models, set materials, adjust lighting, and automate animations. It bridges the Model Context Protocol with 3ds Max via a TCP socket to execute Python and MAXScript commands.

Enables creation of infrastructure and architecture diagrams as code using the Python diagrams library, supporting 15+ cloud providers, 500+ node types, custom icons, and flowcharts with multiple output formats.

Model Context Protocol server that lets AI agents drive StarUML programmatically — generate UML diagrams, execute commands, and manage elements and projects via HTTP.

Serves graph-native code questions from a TypeScript codebase as an MCP server. It extracts structural graphs via tree-sitter and HydraDB to answer callers, impact, and context queries.

Local MCP server that converts modeling exercise requests into native Astah projects (.asta), supporting multiple UML diagram types with automatic layout and visual validation.

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

Enables local Draw.io diagram creation, editing, and export via MCP tools, using the desktop app.

MCP server for rendering diagrams (Mermaid, Graphviz, PlantUML, D2) via Kroki. Provides tools to render diagrams and list available engines.

Connects Blender to Claude AI, enabling AI-assisted 3D modeling, scene creation, object manipulation, material control, and code execution directly in Blender through natural language prompts.

Generates SVG diagram files from Mermaid syntax with support for multiple themes and customizable backgrounds, using Puppeteer for reliable rendering.

Enables AI agents to programmatically create, modify, and analyze Draw.io diagrams through the Model Context Protocol. Supports generating architectural diagrams, flowcharts, and visualizations with bidirectional communication between AI systems and Draw.io.