scan_text_nodes
Extract all text content from a selected Figma design element to analyze or process text data programmatically.
Instructions
Scan all text nodes in the selected Figma node
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| nodeId | Yes | ID of the node to scan |
Implementation Reference
- MCP tool handler for 'scan_text_nodes'. Sends command to Figma plugin to scan text nodes in a given nodeId, supports chunking for large designs, formats and returns the list of text nodes found."scan_text_nodes", "Scan all text nodes in the selected Figma node", { nodeId: z.string().describe("ID of the node to scan"), }, async ({ nodeId }) => { try { // Initial response to indicate we're starting the process const initialStatus = { type: "text" as const, text: "Starting text node scanning. This may take a moment for large designs...", }; // Use the plugin's scan_text_nodes function with chunking flag const result = await sendCommandToFigma("scan_text_nodes", { nodeId, useChunking: true, // Enable chunking on the plugin side chunkSize: 10 // Process 10 nodes at a time }); // If the result indicates chunking was used, format the response accordingly if (result && typeof result === 'object' && 'chunks' in result) { const typedResult = result as { success: boolean, totalNodes: number, processedNodes: number, chunks: number, textNodes: Array<any> }; const summaryText = ` Scan completed: - Found ${typedResult.totalNodes} text nodes - Processed in ${typedResult.chunks} chunks `; return { content: [ initialStatus, { type: "text" as const, text: summaryText }, { type: "text" as const, text: JSON.stringify(typedResult.textNodes, null, 2) } ], }; } // If chunking wasn't used or wasn't reported in the result format, return the result as is return { content: [ initialStatus, { type: "text", text: JSON.stringify(result, null, 2), }, ], }; } catch (error) { return { content: [ { type: "text", text: `Error scanning text nodes: ${error instanceof Error ? error.message : String(error) }`, }, ], }; } } );
- Input schema for the 'scan_text_nodes' tool using Zod validation: requires nodeId string.{ nodeId: z.string().describe("ID of the node to scan"), },
- src/talk_to_figma_mcp/server.ts:1487-1561 (registration)Registration of the 'scan_text_nodes' tool in the MCP server using server.tool() with name, description, input schema, and handler function.server.tool( "scan_text_nodes", "Scan all text nodes in the selected Figma node", { nodeId: z.string().describe("ID of the node to scan"), }, async ({ nodeId }) => { try { // Initial response to indicate we're starting the process const initialStatus = { type: "text" as const, text: "Starting text node scanning. This may take a moment for large designs...", }; // Use the plugin's scan_text_nodes function with chunking flag const result = await sendCommandToFigma("scan_text_nodes", { nodeId, useChunking: true, // Enable chunking on the plugin side chunkSize: 10 // Process 10 nodes at a time }); // If the result indicates chunking was used, format the response accordingly if (result && typeof result === 'object' && 'chunks' in result) { const typedResult = result as { success: boolean, totalNodes: number, processedNodes: number, chunks: number, textNodes: Array<any> }; const summaryText = ` Scan completed: - Found ${typedResult.totalNodes} text nodes - Processed in ${typedResult.chunks} chunks `; return { content: [ initialStatus, { type: "text" as const, text: summaryText }, { type: "text" as const, text: JSON.stringify(typedResult.textNodes, null, 2) } ], }; } // If chunking wasn't used or wasn't reported in the result format, return the result as is return { content: [ initialStatus, { type: "text", text: JSON.stringify(result, null, 2), }, ], }; } catch (error) { return { content: [ { type: "text", text: `Error scanning text nodes: ${error instanceof Error ? error.message : String(error) }`, }, ], }; } } );