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    Cloud infrastructure provisioning via natural language. Enables deploying production-ready infrastructure on AWS, GCP, Azure, or Oracle with a single prompt.
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    MIT
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    Renders diagram-as-code to PNG files on your disk, and also provides text-art previews and syntax validation, all locally without a browser or network.
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    MIT
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    Generates Excalidraw architecture diagrams with support for 60+ components including GCP, Kafka, and AI/Agentic shapes. Provides MCP tools for creating, modifying, and converting diagrams from structured input or Mermaid syntax.
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    MIT
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    diagramzu-mcp lets an AI client (Claude, Cursor, ChatGPT, etc.) author Mermaid diagrams in a shared workspace that a team can read, comment on, embed, and present at a clean URL — rather than just generating a one-off diagram. Hosted endpoint https://mcp.diagramzu.ai/mcp or local npx -y @diagramzu/mcp. Also listed in the official MCP registry as ai.diagramzu/mcp.
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    An MCP server that generates standalone SVG architecture diagrams from text descriptions, running entirely on your machine with no dependencies or network access.
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    A comprehensive bridge connecting AI agents to Unreal Engine 5.7 through 39 MCP tools for scene manipulation, asset management, and blueprint control. It enables real-time perception and editor automation using the Remote Control API and file-based protocols.
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    MIT
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    Enables creation, editing, and export of ASCII art diagrams using Monodraw on macOS, with tools for generating boxes, flowcharts, tables, trees, and sequence diagrams.
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    MIT
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    Generates editable .drawio architecture diagrams from descriptions or reference images, with secure asset resolution, validation, and revision-based approvals.
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    A minimal MCP server for AI-driven canvas manipulation and visualization using tldraw. It enables AI clients to programmatically create, update, and manage shapes, flowcharts, and frames on a live interactive canvas.
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    A Windows-based MCP server that exposes NIST's CONTAM simulation tools and ContamX bridge-mode controls to AI agents. It enables automated airflow and contaminant transport modeling, including project inspection, simulation execution, and real-time bridge session management.
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    Generate 25+ types of hand-drawn Excalidraw diagrams - flowcharts, sequence, architecture, mind maps, ER, UML, kanban, bar/line/radar charts - from structured input with Sugiyama auto-layout and CJK support. Reads and modifies .excalidraw files, exports SVG. Python, local, no API keys required.
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    MIT