Salta l'installazione. Attivo in meno di 2 minuti.
Avvia una prova gratuita su cloud.anythingmcp.com, aggiungi Paperless-ngx con un clic, poi punta il tuo client AI (Claude, ChatGPT, Copilot o Cursor) all'endpoint MCP generato. Niente Docker, niente git clone, nessuna esperienza di sviluppo richiesta.
Summary
Paperless-ngx document management: full-text search over scanned documents, correspondents, document types, tags, storage paths and the OCR'd content of any document. REST API on your own instance, token auth.
Prova a chiedere
Prompt di esempio per Paperless-ngx
Clicca su un prompt per copiarlo. Incollalo in Claude, ChatGPT, Cursor, Gemini, Copilot o OpenClaw per eseguirlo contro questo connettore.
Claude è un'AI e può sbagliare. Verifica sempre le risposte.
💡 Niente installazione? Vai direttamente su cloud.anythingmcp.com. Accedi, clicca Connectors → Paperless-ngx, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
Paperless-ngx + ChatGPT
Paperless-ngx document management: full-text search over scanned documents, correspondents, document types, tags, storage paths and the OCR'd content of any document. REST API on your own instance, token auth.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
PAPERLESS_URL, PAPERLESS_API_TOKEN
Step 1 — Ottieni le credenziali
Getting a token
- Sign in to Paperless-ngx, open the user menu → My Profile, and copy the API Auth Token (create one if the field is empty).
- Put it in
PAPERLESS_API_TOKENand your instance's base URL inPAPERLESS_URL— no trailing slash and no/api, e.g.https://paperless.example.com.
The Authorization header is Token …, Django REST Framework's scheme — not Bearer. The adapter sends it correctly.
…(continued in the in-app connector instructions)
Step 2 — Installa l'adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Aggiungi il connettore in ChatGPT
ChatGPT supporta server MCP tramite la funzione Connectors (piani Plus / Pro / Team / Enterprise). Il piano gratuito non supporta connettori personalizzati.
- Apri ChatGPT → Impostazioni → Connectors (o clicca l'icona 🔧 nel composer → Manage connectors).
- Clicca "Add custom connector".
- Compila:
- Name:
Paperless-ngx - MCP server URL:
https://cloud.anythingmcp.com/mcp - Authentication: Bearer token → incolla la tua MCP API key (da AnythingMCP → Profile → MCP API Keys → New Key)
- Name:
- Clicca Connect per autorizzare.
Tool disponibili
| Tool | What it does |
|---|---|
paperless_ngx_search_documents | Full-text search across the OCR'd content of every document |
paperless_ngx_list_documents | List documents filtered by correspondent, document type, tag or creation date — the structured alternative to full-text search when you alre |
paperless_ngx_get_document | Read one document's metadata: title, correspondent, type, tags, created and added dates, archive serial number and the full OCR'd content |
paperless_ngx_get_document_metadata | Read the technical metadata of one document: original filename, media type, checksum, page count and any embedded PDF metadata |
paperless_ngx_list_correspondents | List correspondents — the senders documents are filed under — with their document count and matching rules |
paperless_ngx_list_document_types | List the document types configured in the instance (invoice, contract, payslip …) with their document counts |
paperless_ngx_list_tags | List tags with their colour, inbox flag and document count |
paperless_ngx_list_storage_paths | List the storage paths documents are filed into, with their path template and document count |
paperless_ngx_get_statistics | Read instance-wide statistics: total documents, documents in the inbox, character count and the breakdown by file type |
FAQ
Il piano free di ChatGPT funziona con i Connectors MCP custom? No — servono Plus, Pro, Team o Enterprise.
Prossimi passi
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