MCP server for AI Diagram Maker — generate software engineering diagrams from natural language, code, ASCII diagram, images, or Mermaid. Inline diagram rendering using MCP apps UI and diagram URL in responses. Works with Cursor, Claude Desktop, Claude Code, and any MCP-compatible AI.
Connects AI coding agents to Circuitry's visual workflow platform, enabling them to create and sync code nodes from project files, understand user-drawn flowcharts and diagrams, generate visual flowcharts, and create data visualizations like spreadsheets and charts.
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 read-only access to Sparx Systems Enterprise Architect repositories stored in various database systems via ODBC, allowing AI assistants to browse and query model data without requiring Windows or a running EA instance.
Enables creating and editing draw.io diagrams from structured descriptions, rendering them as interactive inline SVGs, and providing access to the full draw.io editor for further modification and export.
Enables creating, manipulating, and managing Mermaid diagrams with automatic saving and multi-format conversion from JSON, CSV, Python, Markdown, and plain text.
A remotely-hosted MCP server that generates Azure architecture diagrams from agent-generated topology descriptions, with safe execution and consistent styling.
An MCP server that generates, edits, and manages BPMN 2.0 diagrams from natural language descriptions, with an interactive viewer and persistent storage.
An MCP server for AsyncAPI that enables parsing, validation, linting, conversion, model generation, and template generation from any MCP client using stdio.
Generates sequence diagram images from Mermaid syntax or natural language descriptions, supporting multiple output formats (SVG, PNG) with customizable themes and dimensions.
This enterprise MCP server template provides a production-ready, architecture-first foundation for building MCP servers in Python, with capability registry, dependency injection, and Docker support.
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.