"Excalidraw" matching MCP servers:

Provides tools for creating, deleting, and querying nodes and edges in Excalidraw diagrams, enabling diagram editing via LLM interfaces.

Enables LLMs to create, read, modify, and render Excalidraw diagrams through a semantic graph abstraction, handling spatial reasoning automatically.

Enables AI agents to build, edit, organize, and export Excalidraw diagrams (architecture, flowcharts, etc.) entirely headless, producing .excalidraw files, SVG, and PNG renders.

An MCP server that enables exporting Excalidraw .excalidraw files to PNG or SVG format, with support for batch export and metadata retrieval.

Security-hardened MCP server for Excalidraw with API key auth, rate limiting, real-time WebSocket sync, and 14 diagramming tools

An Excalidraw editor for DeepSeek Harness that lets AI models create, edit, and inspect diagrams, including image capture and revision management.

MCP server that streams hand-drawn Excalidraw diagrams with smooth viewport camera control and interactive fullscreen editing.

Enables AI agents to programmatically generate, edit, and view Excalidraw diagrams with real-time browser synchronization. It provides a suite of tools for adding shapes, text, and arrows to diagrams through natural language interactions.

Enables an AI agent to join a live Excalidraw collaboration room as a headless participant, read the drawing in real time, and add or modify elements on the shared canvas.

A Model Context Protocol server that enables LLMs to create, modify, and manipulate Excalidraw diagrams through a structured API.

MCP server enabling AI assistants to create and edit Excalidraw diagrams as Obsidian-native .excalidraw.md files, with style presets, batch element creation, arrow binding, and an Obsidian selection bridge for localized edits.

Enables AI clients to inspect and make targeted, revision-checked edits to Excalidraw class diagrams stored in a local Obsidian vault, including adding, moving, rewiring, resizing, and deleting shapes, text, and arrows. It supports low-level design review by summarizing classes and relationships, and confines access to a configured folder while backing up drawings before each change.

Enables AI agents to create, modify, and share diagrams on a live Excalidraw canvas through MCP tools, supporting shapes, text, arrows, batch operations, and export to shareable links with images.

The diagram-quality layer for AI agents — an opinionated Excalidraw methodology (isomorphism test, evidence artifacts, multi-zoom, container discipline) plus a render-view-fix loop. Accepts skeleton and Mermaid input, 5 publishable themes, dual Node/Python renderer. Proven on a 77-diagram published book.

Standalone backend for a self-hosted Excalidraw fork with per-board access control, providing an MCP remote endpoint that lets AI agents draw on real collaboration boards as specific users.

MCP server that converts Mermaid diagrams to styled Excalidraw files, saving them directly to disk without token overhead.

Enables AI assistants to generate interactive Excalidraw diagrams with viewport camera control and fullscreen editing directly in the chat.

Enables users to create and interact with hand-drawn Excalidraw diagrams featuring smooth viewport camera control and interactive fullscreen editing. It uses the MCP Apps extension to render collaborative virtual whiteboards directly within supported AI chat interfaces.

Streams hand-drawn Excalidraw diagrams with smooth viewport camera control and interactive fullscreen editing, enabling diagram creation via natural language.

Enables users to create and interact with hand-drawn sketches and architecture diagrams directly within chat interfaces using Excalidraw. It leverages the Model Context Protocol to provide interactive HTML visualizations with smooth viewport control and fullscreen editing capabilities.