tldraw
Draw and visually collaborate with your agents on tldraw's canvas.
¿Debería usar esto?
Calidad y seguridad
Hallazgos (2)
- LOWen _exec_callback
- LOWen _get_canvas_state
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"tldraw": {
"url": "https://tldraw-mcp-app.tldraw.workers.dev/mcp"
}
}
}Puntos de conexión remotos
https://tldraw-mcp-app.tldraw.workers.dev/mcpstreamable-httphttps://tldraw-mcp-app.tldraw.workers.dev/ssesseQué puede hacer
Inventario de herramientas
Herramientas (6)
🟢search(code)
Search the tldraw Editor API spec by writing JavaScript that receives a `spec` object and returns a result. The spec contains: spec.members (all Editor methods/properties with name, kind, signature, description, category), spec.categories (category names), spec.types.shapes (focused shape type definitions with props), spec.types.shapeTypes (list of all shape type strings), spec.helpers (exec helper functions with descriptions, params, examples). Examples: - Find shape methods: return spec.members.filter(m => m.category === "shapes").map(m => ({ name: m.name, signature: m.signature })) - Get arrow shape props: return spec.types.shapes.find(s => s.shapeType === "arrow") - List all categories: return spec.categories - Find a helper: return spec.helpers.find(h => h.name === "createArrowBetweenShapes")
Esquema de entrada
{
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "JavaScript code that receives `spec` and returns a result. Must use `return` to produce output."
}
},
"required": [
"code"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟡exec(code, canvasId)
Execute JavaScript code on a tldraw canvas. The code runs in the widget with access to the live `editor` instance, helper functions, and normal js. Use the `search` tool first to discover available Editor methods and shape types. Each canvas has a unique `canvasId`. Omit `canvasId` to create a new blank canvas. To edit an existing canvas, pass the `canvasId` that was returned by a previous exec call. Shapes and text grow depending on the amount of text they have. Use clever scripting to ensure there are no unintended overlaps. Examples: - Create a rectangle: editor.createShape({ _type: 'rectangle', shapeId: 'box1', x: 200, y: 120, w: 320, h: 180, text: 'Hello' }) - Connect shapes with an arrow: editor.createShape({ _type: 'arrow', shapeId: 'a1', fromId: 'box1', toId: 'box2', x1: 0, y1: 0, x2: 100, y2: 0 }) - Select and zoom: editor.select('box1'); editor.zoomToSelection() - Read shapes: return editor.getCurrentPageShapes() - Distribute evenly: editor.distributeShapes(editor.getSelectedShapeIds(), 'horizontal') - Box around shapes: boxShapes(['box1', 'box2'], { text: 'Group label', color: 'blue' }) - Stack shapes dynamically: editor.createShape({ _type: 'rectangle', shapeId: 'a', x: 0, y: 0, w: 300, h: 200, text: 'First box\nwith wrapping text' }); const bounds = editor.getShapePageBounds('a'); editor.createShape({ _type: 'rectangle', shapeId: 'b', x: 0, y: bounds.maxY + 20, w: 300, h: 200, text: 'Below first' })
Esquema de entrada
{
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "JavaScript code to execute. Has access to `editor` (tldraw Editor instance) and helper functions."
},
"canvasId": {
"description": "Canvas ID to edit. Omit to create a new blank canvas. Pass a canvasId from a previous exec result to continue editing that canvas.",
"type": "string"
}
},
"required": [
"code"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪_exec_callback(channel, execKey, result, error)
App-only: widget calls this to resolve a pending exec request.
Esquema de entrada
{
"type": "object",
"properties": {
"channel": {
"type": "string"
},
"execKey": {
"type": "string"
},
"result": {
"type": "object",
"properties": {
"success": {
"type": "boolean"
},
"result": {},
"error": {
"type": "string"
},
"canvasId": {
"type": "string"
}
},
"required": [
"success"
]
},
"error": {
"type": "string"
}
},
"required": [
"channel"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢_get_canvas_state(canvasId)
App-only: get the latest checkpoint for a canvas by its canvasId.
Esquema de entrada
{
"type": "object",
"properties": {
"canvasId": {
"type": "string",
"minLength": 1
}
},
"required": [
"canvasId"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢read_checkpoint(checkpointId)
App-only: read shapes from a checkpoint by ID.
Esquema de entrada
{
"type": "object",
"properties": {
"checkpointId": {
"type": "string",
"minLength": 1
}
},
"required": [
"checkpointId"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟡save_checkpoint(checkpointId, shapesJson, assetsJson, bindingsJson, canvasId)
App-only: save shapes to a checkpoint (from user edits). shapesJson and assetsJson must be JSON array strings.
Esquema de entrada
{
"type": "object",
"properties": {
"checkpointId": {
"type": "string",
"minLength": 1
},
"shapesJson": {
"type": "string"
},
"assetsJson": {
"type": "string"
},
"bindingsJson": {
"type": "string"
},
"canvasId": {
"type": "string"
}
},
"required": [
"checkpointId",
"shapesJson"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Comunidad
Evidencia