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read-icc

Extract ICC metadata from images by specifying a path, URL, base64, or buffer. Supports analysis of metadata segments using the exif-mcp server for enhanced image processing.

Instructions

Read ICC metadata from an image

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
imageYes

Implementation Reference

  • Handler implementation for the 'read-icc' tool. Dynamically generated for ICC segment: loads image to buffer, builds exifr options for ICC, parses metadata, extracts 'icc' field, returns formatted response or error.
    const segmentTools = [ { name: 'read-icc', segment: 'ICC' }, { name: 'read-iptc', segment: 'IPTC' }, { name: 'read-jfif', segment: 'JFIF' }, { name: 'read-ihdr', segment: 'IHDR' } ] as const; segmentTools.forEach(({ name, segment }) => { const segmentTool = server.tool(name, `Read ${segment} metadata from an image`, { image: ImageSourceSchema }, async (args, extra) => { try { const { image } = args; const buf = await loadImage(image); const opts = buildSegmentOptions(segment); const meta = await exifr.parse(buf, opts); const segmentKey = segment.toLowerCase(); if (!meta || !meta[segmentKey]) { return createErrorResponse(`No ${segment} metadata found in image`); } return createSuccessResponse(meta); } catch (error) { return createErrorResponse(`Error reading ${segment} data: ${error instanceof Error ? error.message : String(error)}`); } } ); tools[name] = segmentTool; });
  • Zod input schema for the 'image' parameter used by the read-icc handler.
    const ImageSourceSchema = z.object({ kind: z.enum(['path', 'url', 'base64', 'buffer']), path: z.string().optional(), url: z.string().optional(), data: z.string().optional(), buffer: z.string().optional() });
  • Registration of the 'read-icc' tool via server.tool call within dynamic loop for segment 'ICC'.
    segmentTools.forEach(({ name, segment }) => { const segmentTool = server.tool(name, `Read ${segment} metadata from an image`, { image: ImageSourceSchema }, async (args, extra) => { try { const { image } = args; const buf = await loadImage(image); const opts = buildSegmentOptions(segment); const meta = await exifr.parse(buf, opts); const segmentKey = segment.toLowerCase(); if (!meta || !meta[segmentKey]) { return createErrorResponse(`No ${segment} metadata found in image`); } return createSuccessResponse(meta); } catch (error) { return createErrorResponse(`Error reading ${segment} data: ${error instanceof Error ? error.message : String(error)}`); } } ); tools[name] = segmentTool; });
  • Helper function buildSegmentOptions that configures exifr to parse only the ICC segment (sets options.icc = true) for the read-icc tool.
    export function buildSegmentOptions(segment: 'ICC' | 'IPTC' | 'JFIF' | 'IHDR'): ExifrOptions { const options: ExifrOptions = { tiff: false, xmp: false, icc: false, iptc: false, jfif: false, ihdr: false, }; const key = segment.toLowerCase() as 'icc' | 'iptc' | 'jfif' | 'ihdr'; options[key] = true; return options; }
  • Helper function loadImage that converts various image source kinds to a Buffer/Uint8Array required for exifr.parse in the read-icc handler.
    export async function loadImage(src: ImageSourceType): Promise<Buffer | Uint8Array> { try { switch (src.kind) { case 'path': if (!src.path) { throw new Error('Path is required for kind="path"'); } return await fs.promises.readFile(src.path); case 'url': if (!src.url) { throw new Error('URL is required for kind="url"'); } if (src.url.startsWith('file://')) { // Handle file:// URLs by converting to filesystem path const filePath = fileURLToPath(src.url); return await fs.promises.readFile(filePath); } else { // Handle HTTP/HTTPS URLs const response = await fetch(src.url); if (!response.ok) { throw new Error(`Failed to fetch URL: ${response.status} ${response.statusText}`); } return new Uint8Array(await response.arrayBuffer()); } case 'base64': if (!src.data) { throw new Error('Data is required for kind="base64"'); } // Check for potential oversized base64 string (>30MB) if (src.data.length > 40000000) { // ~30MB in base64 throw new Error('PayloadTooLarge: Base64 data exceeds 30MB limit'); } // Handle data URIs or raw base64 if (src.data.startsWith('data:')) { const base64Data = src.data.split(',')[1]; return Buffer.from(base64Data, 'base64'); } else { return Buffer.from(src.data, 'base64'); } case 'buffer': if (!src.buffer) { throw new Error('Buffer is required for kind="buffer"'); } return Buffer.from(src.buffer, 'base64'); default: // This should never happen due to type constraints, but TypeScript needs it throw new Error(`Unsupported image source kind: ${(src as any).kind}`); } } catch (error) { if (error instanceof Error) { throw new Error(`Failed to load image: ${error.message}`); } throw error; } }

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