"tldraw" matching MCP servers:

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.

Minimal MCP server for editing tldraw .tldr files via JSON manipulation. Headless, no browser needed.

Enables AI agents to read, write, and search local tldraw (.tldr) files, providing a persistent visual scratchpad for diagramming and note organization. It supports full CRUD operations on canvas shapes and metadata management for local canvas files.

A Codex stdio MCP server that generates simple tldraw product workflow diagrams as .tldr files.

Enables reading, writing, and validating .tldr files for tldraw, a headless implementation without browser dependencies.

A full-featured MCP server that lets AI assistants create and edit tldraw diagrams programmatically with 30 tools across all 14 shape types.

An MCP server that gives AI agents programmatic control over a live tldraw canvas, enabling diagram creation through natural language.

Enables remote agents to control tldraw Desktop's Canvas API, manage documents, scripts, assets, and take screenshots.

Enables MCP clients to inspect and mutate a shared persistent canvas by adding, updating, deleting, and clearing topology nodes and edges through eight tools backed by a local daemon.

Enables an agent to open a tldraw.com board in a controlled Chrome tab and draw on it by executing JavaScript against the page's own editor, so edits sync to the shared board. It also captures PNG exports of the view, page, selection, or specific shapes.

Enables Claude to draw on a live tldraw canvas from prompts, with real-time visualization in a browser. Provides tools for creating, updating, deleting shapes and retrieving canvas state.

Enables bidirectional communication between AI agents and a tldraw canvas, allowing agents to push content as interactive cards and users to select cards for conversation context.

Enables Claude to create, open, and edit persistent tldraw whiteboards in real-time, with live collaboration between human and AI.

Renders LEGO LDraw model files (.ldr, .mpd, .dat) to high-quality images using headless Blender, enabling MCP clients to visually inspect LEGO builds.