feat: single-image transform, NAS/FTP in delivery, backup-all any target, metadata sidecar, prompt view, preset manager, API token + MCP server

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XNQ8ghPfzAfsyVYd6HgFb6
2026-07-23 21:29:43 +00:00
parent 5cfafb456c
commit 295f0ce91e
19 changed files with 479 additions and 69 deletions
@@ -0,0 +1,98 @@
+#!/usr/bin/env node
+// Klarbild MCP-Server — erlaubt einem KI-Assistenten (z. B. Claude), lokale Bilder
+// oder anderweitig beschaffte Bilder (iMessage, Ordner XY …) an Klarbild zu übergeben
+// und dort zu verarbeiten. Der Assistent besorgt die Bilddateien; dieser Server lädt
+// sie hoch und legt einen Auftrag an.
+//
+// Setup:
+//   npm i @modelcontextprotocol/sdk
+//   KLARBILD_URL=https://klarbild.heidrich-digital.de \
+//   KLARBILD_TOKEN=klb_xxx node mcp/klarbild-mcp.mjs
+// Den Token erzeugt man in Klarbild unter Admin → „Automatisierung / MCP-Zugriff".
+
+import { Server } from '@modelcontextprotocol/sdk/server/index.js';
+import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
+import { readFile } from 'node:fs/promises';
+import { basename } from 'node:path';
+
+const BASE = (process.env.KLARBILD_URL || '').replace(/\/$/, '');
+const TOKEN = process.env.KLARBILD_TOKEN || '';
+if (!BASE || !TOKEN) { console.error('KLARBILD_URL und KLARBILD_TOKEN müssen gesetzt sein.'); process.exit(1); }
+
+const authHeaders = { Authorization: `Bearer ${TOKEN}` };
+const api = (path) => `${BASE}${path}`;
+
+async function uploadFile(pathOrBase64, name) {
+  let buf, filename = name;
+  if (pathOrBase64.startsWith('data:')) {
+    buf = Buffer.from(pathOrBase64.split(',')[1], 'base64');
+    filename = name || 'bild.png';
+  } else {
+    buf = await readFile(pathOrBase64);
+    filename = name || basename(pathOrBase64);
+  }
+  const fd = new FormData();
+  fd.append('files', new Blob([buf]), filename);
+  const r = await fetch(api('/api/uploads'), { method: 'POST', headers: authHeaders, body: fd });
+  const j = await r.json();
+  const info = (j.files || [])[0];
+  if (!info?.source_path) throw new Error(info?.error || 'Upload fehlgeschlagen');
+  return { source_path: info.source_path, filename };
+}
+
+const server = new Server({ name: 'klarbild', version: '1.0.0' }, { capabilities: { tools: {} } });
+
+const TOOLS = [
+  { name: 'list_recipes', description: 'Verfügbare Presets/Rezepte in Klarbild auflisten.',
+    inputSchema: { type: 'object', properties: {} } },
+  { name: 'process_images',
+    description: 'Bilder an Klarbild übergeben und verarbeiten. Dateien als lokale Pfade ODER data:-URLs. Entweder recipeId ODER mode+Optionen angeben.',
+    inputSchema: { type: 'object', properties: {
+      files: { type: 'array', items: { type: 'string' }, description: 'Lokale Pfade oder data:-URLs' },
+      recipeId: { type: 'string', description: 'Optional: Preset-ID (aus list_recipes)' },
+      mode: { type: 'string', enum: ['each', 'compose', 'generate'], description: 'Falls kein recipeId' },
+      prompt_text: { type: 'string', description: 'Beschreibung für compose/generate' },
+      output_format: { type: 'string', description: 'z. B. 30x40, theframe, keep' },
+      delivery: { type: 'string', enum: ['library', 'picdrop', 'both'] },
+    }, required: ['files'] } },
+  { name: 'job_status', description: 'Status eines Auftrags abfragen.',
+    inputSchema: { type: 'object', properties: { jobId: { type: 'string' } }, required: ['jobId'] } },
+];
+
+server.setRequestHandler({ method: 'tools/list' }, async () => ({ tools: TOOLS }));
+
+server.setRequestHandler({ method: 'tools/call' }, async (req) => {
+  const { name, arguments: a = {} } = req.params;
+  try {
+    if (name === 'list_recipes') {
+      const j = await (await fetch(api('/api/recipes'), { headers: authHeaders })).json();
+      const list = (j.recipes || []).map((r) => `${r.id} — ${r.name} (${r.mode || 'each'})`).join('\n');
+      return { content: [{ type: 'text', text: list || 'Keine Presets.' }] };
+    }
+    if (name === 'process_images') {
+      const files = a.files || [];
+      const mode = a.mode || 'each';
+      const sources = (mode === 'generate') ? [] : await Promise.all(files.map((f) => uploadFile(f)));
+      const body = a.recipeId
+        ? { recipeId: a.recipeId, mode, sources, prompt_text: a.prompt_text }
+        : { mode, prompt_text: a.prompt_text, sources,
+            recipe: { tasks: a.output_format && a.output_format !== 'keep' ? ['format'] : [],
+              output_format: a.output_format || 'keep', delivery: a.delivery || 'library' },
+            delivery: a.delivery || 'library' };
+      const j = await (await fetch(api('/api/jobs'), { method: 'POST', headers: { ...authHeaders, 'Content-Type': 'application/json' }, body: JSON.stringify(body) })).json();
+      if (!j.jobId) throw new Error(j.error || 'Auftrag fehlgeschlagen');
+      return { content: [{ type: 'text', text: `Auftrag angelegt: ${j.jobId}` }] };
+    }
+    if (name === 'job_status') {
+      const j = await (await fetch(api(`/api/jobs/${a.jobId}`), { headers: authHeaders })).json();
+      const job = j.job || j;
+      return { content: [{ type: 'text', text: `Status: ${job.status} — ${job.done_count}/${job.total} fertig${job.failed_count ? `, ${job.failed_count} fehlgeschlagen` : ''}` }] };
+    }
+    return { content: [{ type: 'text', text: `Unbekanntes Tool: ${name}` }], isError: true };
+  } catch (e) {
+    return { content: [{ type: 'text', text: `Fehler: ${e?.message || e}` }], isError: true };
+  }
+});
+
+await server.connect(new StdioServerTransport());
+console.error('[klarbild-mcp] bereit');