tldraw

Draw and visually collaborate with your agents on tldraw's canvas.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
87%
Qualität der Benennung
80%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (2)

  • LOWTool '_exec_callback' doesn't follow camelCase/snake_casein _exec_callback
  • LOWTool '_get_canvas_state' doesn't follow camelCase/snake_casein _get_canvas_state

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,304Tokens (Tool-Definitionen)
~808 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.02% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "tldraw": {
      "url": "https://tldraw-mcp-app.tldraw.workers.dev/mcp"
    }
  }
}

Remote-Endpunkte

https://tldraw-mcp-app.tldraw.workers.dev/mcpstreamable-http
https://tldraw-mcp-app.tldraw.workers.dev/ssesse

Was es kann

Tool-Inventar

Tools (6)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟢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")

Eingabe-Schema

{
  "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' })

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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#"
}

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