A
licenseNot graded
qualityD
maintenanceAn MCP server that gives AI agents programmatic control over a live tldraw canvas, enabling diagram creation through natural language.
1
MIT
tldraw-mcp
by dpunj
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TDQS
A3.6/5.0
Scored across 9 tools
Disambiguation5/5
Every tool has a clearly distinct purpose with no ambiguity. For example, create_shape makes individual shapes, create_frame groups them, create_flowchart auto-arranges nodes, and connect_shapes specifically adds arrows between shapes. The actions (clear, create, delete, get, update, zoom) are well-separated by target objects.
Naming Consistency5/5
All tools follow a consistent verb_noun pattern using snake_case throughout. Verbs like create, delete, update, get, clear, connect, and zoom are applied predictably to nouns like canvas, shapes, flowchart, frame, snapshot, ensuring readability and predictability across the set.
Tool Count5/5
With 9 tools, this is well-scoped for a diagramming/canvas server. Each tool earns its place by covering distinct operations like creation, modification, deletion, viewing, and canvas management, without being overly sparse or bloated for the domain.
Completeness5/5
The tool surface provides complete CRUD/lifecycle coverage for canvas shapes and diagrams. It includes creation (create_shape, create_frame, create_flowchart), reading (get_snapshot), updating (update_shape, connect_shapes), deletion (delete_shapes, clear_canvas), and utility (zoom_to_fit), with no obvious gaps for the stated purpose.
Maintenance
ActivityInactive
ResponsivenessNo issues