{"repo":"BV-Venky/excalidraw-architect-mcp","free":true,"listed":false,"github":"https://github.com/BV-Venky/excalidraw-architect-mcp","clone":"git clone https://github.com/BV-Venky/excalidraw-architect-mcp.git","description":"Turn your architecture into a living, queryable knowledge graph - and render it as beautiful auto-laid-out Excalidraw diagrams. An MCP server for Cursor, Claude Code & Windsurf. Offline, no API keys.","language":"Python","stars":143,"topics":["ai","antigravity","cursor","excalidraw","llm","mcp","windsurf","skills","developer-tools","productivity"],"license":"MIT","category":"mcp-servers","readme_excerpt":"Excalidraw Architect MCP It's been a constant struggle trying to understand unfamiliar and complex codebases - managing cognitive overload and trying to imagine how everything fits together. The Problem When you're onboarding onto a codebase, designing a new system, or documenting existing architecture, a visual diagram communicates in seconds what pages of text can't. But the options today aren't great. Mermaid diagrams are quick to generate but have limited capabilities - you can't drag a node to reposition it, group components visually. Excalidraw solves these problems, but when LLMs try to generate Excalidraw directly, they hallucinate coordinates - boxes overlap, arrows tangle, and you end up fixing the diagram manually. The Solution excalidraw-architect-mcp separates the what from the where - the AI focuses on structure, the engine handles the pixel math. Your LLM describes the components and connections, and the MCP handles layout, styling, and rendering using a proper graph layout algorithm. 50+ technologies (Kafka, PostgreSQL, Redis, etc.) get auto-styled, you can iteratively edit diagrams with natural language (\"add a cache in front of the DB\"), and it runs fully offline in Cursor/Windsurf - no API keys needed. - Living architecture knowledge graph - persist your system as a version-controlled model your AI can query, lint, and re-render — diagrams become views , not the source of truth (details) - Perfect layouts every time - Sugiyama algorithm with adaptive spacin","default_branch":null,"files":null,"tree":[],"storefront":"/r/BV-Venky","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/BV-Venky/excalidraw-architect-mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}