tldraw-canvas — tldraw MCP Resource

tldraw-canvas is one of 1 resource on the tldraw MCP server. Connect the server and your client can attach it as context.

by client

How to attach tldraw-canvas from your client

• Claude Code tldraw Resource/tldraw-canvas run in your project directory
• Claude Desktop tldraw Resource/tldraw-canvas ~/Library/Application Support/Claude/claude_desktop_config.json
• Cursor tldraw Resource/tldraw-canvas ~/.cursor/mcp.json
• VS Code tldraw Resource/tldraw-canvas .vscode/mcp.json
• Zed tldraw Resource/tldraw-canvas ~/.config/zed/settings.json
• Windsurf tldraw Resource/tldraw-canvas ~/.codeium/windsurf/mcp_config.json
• Cline tldraw Resource/tldraw-canvas ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
• Gemini CLI tldraw Resource/tldraw-canvas ~/.gemini/settings.json
• Grok tldraw Resource/tldraw-canvas .mcp.json (in your project root)
• ChatGPT tldraw Resource/tldraw-canvas Settings → Connectors → Advanced → Developer mode
• Claude.ai tldraw Resource/tldraw-canvas Settings → Connectors → Add custom connector
• LangChain tldraw Resource/tldraw-canvas pip install langchain-mcp-adapters

Read from the server itself, by connecting to it and calling resources/list on 24 September 2026. A listing does not declare its resources, so asking is the only way to know them, and this is what the server actually offers rather than what its listing claims. Names only are stored; connect the server for each resource's type and contents.