"Tools for creating architectural and technical diagrams" matching MCP servers:

Enables generating cloud architecture diagrams, flowcharts, sequence diagrams, and more using three rendering engines: mingrammer/diagrams, Mermaid, and PlantUML.

Enables automatic generation of UML class diagrams and entity-relationship diagrams from natural language descriptions or structured JSON data. It integrates with MCP agents to create visual representations of code structures and system designs without manual Mermaid coding.

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.

The Diagrams.so MCP server enables generating, editing, and managing cloud architecture diagrams from any MCP client, wrapping the public Diagrams.so API.

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.

Enables LLMs to search and retrieve official Cisco network diagram icons as RGB PNG images, with metadata and category listing tools for building topology diagrams.

MCP server for rendering Mermaid diagrams and generating source-code diagrams, with tools to render text/files and produce dependency/class diagrams.

Enables AI assistants to manage architectural decisions through CRUD operations integrated with a GraphQL backend and SAP/LeanIX fact sheets. It provides tools for creating, reading, updating, and deleting ADL entries to maintain a structured history of technical choices.

Architecture-index MCP tools for kernelee apps that combine static analysis and runtime wiring into a JSON index, enabling coding agents to query control flow and dependencies via the Model Context Protocol.

Provides tools for AI-powered graph analysis, including relationship extraction, adjacency matrix creation, and network centrality calculations. It enables users to perform complex structural analysis and generate interactive D3.js visualizations from structured data.

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

An MCP server that generates professional infrastructure diagrams using the Python diagrams DSL, with first-class Azure support and GitHub Copilot integration for natural language diagram generation.

Translates natural language commands into structured geometric operations for a simulated CAD engine using LLMs. It enables users to create shapes, modify dimensions, and perform 3D operations like extrusion through the Model Context Protocol.

Enables AI assistants to perform Electronic Design Automation (EDA) tasks including Verilog synthesis, simulation, ASIC design flows, and waveform analysis through a unified interface.

MCP server for creating and editing diagrams using draw.io. Allows generating diagrams from Mermaid or XML, searching shapes, and opening them in draw.io for export.

Enables AI coding agents to discover, convert, and synchronize Draw.io C4 and UML diagrams into Mermaid Markdown, providing architectural context and guardrails during chat sessions.

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.

Enables creating diagrams or generating code from diagrams in StarUML via prompts.

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

Enables AI assistants to create, validate, and visualize ArchiMate 3.2 enterprise architecture diagrams through natural language. Supports all 55+ element types across 7 architectural layers with Mermaid diagram generation and XML export capabilities.