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export_node_as_image

Convert Figma design elements to image files by specifying node ID, format, and scale for use in documentation or presentations.

Instructions

Export a node as an image from Figma

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeIdYesThe ID of the node to export
formatNoExport format
scaleNoExport scale

Implementation Reference

  • Full registration of the 'export_node_as_image' MCP tool, including name, description, Zod input schema, and inline handler function that forwards the command to the Figma plugin via sendCommandToFigma and returns the resulting image.
      server.tool(
        "export_node_as_image",
        "Export a node as an image from Figma",
        {
          nodeId: z.string().describe("The ID of the node to export"),
          format: z
            .enum(["PNG", "JPG", "SVG", "PDF"])
            .optional()
            .describe("Export format"),
          scale: z.number().positive().optional().describe("Export scale"),
        },
        async ({ nodeId, format, scale }) => {
          try {
            const result = await sendCommandToFigma("export_node_as_image", {
              nodeId,
              format: format || "PNG",
              scale: scale || 1,
            });
            const typedResult = result as { imageData: string; mimeType: string };
    
            return {
              content: [
                {
                  type: "image",
                  data: typedResult.imageData,
                  mimeType: typedResult.mimeType || "image/png",
                },
              ],
            };
          } catch (error) {
            return {
              content: [
                {
                  type: "text",
                  text: `Error exporting node as image: ${error instanceof Error ? error.message : String(error)}`,
                },
              ],
            };
          }
        }
      );
    }
  • The core handler logic for executing the export_node_as_image tool: validates inputs, sends command to Figma WebSocket, handles response as image data or error.
    async ({ nodeId, format, scale }) => {
      try {
        const result = await sendCommandToFigma("export_node_as_image", {
          nodeId,
          format: format || "PNG",
          scale: scale || 1,
        });
        const typedResult = result as { imageData: string; mimeType: string };
    
        return {
          content: [
            {
              type: "image",
              data: typedResult.imageData,
              mimeType: typedResult.mimeType || "image/png",
            },
          ],
        };
      } catch (error) {
        return {
          content: [
            {
              type: "text",
              text: `Error exporting node as image: ${error instanceof Error ? error.message : String(error)}`,
            },
          ],
        };
      }
    }
  • Zod schema for input validation of the export_node_as_image tool: nodeId (string, required), format (enum PNG/JPG/SVG/PDF, optional), scale (positive number, optional).
    {
      nodeId: z.string().describe("The ID of the node to export"),
      format: z
        .enum(["PNG", "JPG", "SVG", "PDF"])
        .optional()
        .describe("Export format"),
      scale: z.number().positive().optional().describe("Export scale"),
    },

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure, but it only states the core action. It does not disclose whether the tool returns binary data, a URL, or a file path, nor does it mention permissions, side effects, or limitations on node types. This is a significant gap for a tool with no annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no unnecessary words. It effectively communicates the core purpose without fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no output schema and no annotations, so the description must explain what the agent should expect after invocation. It does not mention the response format, return value, or any constraints on the export. Given the tool's simplicity in parameters, this lack of contextual detail is a clear gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds no extra meaning beyond the schema; the schema already documents each parameter adequately (nodeId, scale, format). The description does not compensate for any ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Export'), the resource ('a node'), and the result ('as an image from Figma'). It is specific and distinguishes this tool from all sibling tools, which focus on other operations like setting, getting, or creating nodes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, no exclusions, and no context about typical scenarios. It does not mention which node types are exportable, how scale or format affect usage, or when to prefer another tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.