"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.

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.

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.

This project integrates tldraw with Claude AI using the Model Context Protocol (MCP). It allows Claude to create and manipulate diagrams based on natural language instructions.

Provides a standalone MCP server for tldraw diagrams, enabling clients to create, edit, and persist multiple canvases over Streamable HTTP with semantic protocol v2.

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