Salta l'installazione. Attivo in meno di 2 minuti.
Avvia una prova gratuita su cloud.anythingmcp.com, aggiungi ERPNext 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
ERPNext / Frappe: read and write any DocType — customers, sales orders, invoices, items, stock and leads — with Frappe's filter syntax, plus a generic resource escape hatch. Token auth against your own instance.
Prova a chiedere
Prompt di esempio per ERPNext
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 → ERPNext, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
ERPNext + Gemini
ERPNext / Frappe: read and write any DocType — customers, sales orders, invoices, items, stock and leads — with Frappe's filter syntax, plus a generic resource escape hatch. Token auth against your own instance.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
ERPNEXT_URL, ERPNEXT_API_KEY, ERPNEXT_API_SECRET
Step 1 — Ottieni le credenziali
Getting a key
- In ERPNext open the user you want the agent to act as → Settings → API Access → Generate Keys. You receive an API key and an API secret; the secret is shown once.
- Set
ERPNEXT_URLto your instance root (no trailing slash),ERPNEXT_API_KEYandERPNEXT_API_SECRET.
The Authorization header is token key:secret — lower-case token, the two values joined by a colon. Not Bearer, not Basic. This is the single most common reason a correct ERPNext key 401s.
…(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 Gemini
Gemini CLI legge i server MCP da ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json su Windows). Aggiungi:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Ottieni la tua MCP API key da AnythingMCP → Profilo → MCP API Keys → Nuova Key.
- Salva il file e riavvia
gemini. - Esegui
/mcpnella Gemini CLI —ERPNextdovrebbe essere elencato come disponibile. - Vertex AI Studio: passa
https://cloud.anythingmcp.com/mcpnell'arraytoolsdella richiesta con lo stesso header Bearer.
Tool disponibili
| Tool | What it does |
|---|---|
erpnext_get_logged_user | Read which user the API key belongs to |
erpnext_list_documents | List documents of any DocType with Frappe filters |
erpnext_get_document | Read one document of any DocType in full by its name (ERPNext's primary key), including its child tables |
erpnext_count_documents | Count the documents of a DocType matching a filter, without transferring them |
erpnext_get_doctype_meta | Describe a DocType: every field with its type, label, options and whether it is required |
erpnext_list_customers | List customers with their name, group, territory, currency and default payment terms |
erpnext_list_sales_orders | List sales orders with their customer, date, delivery date, status and grand total |
erpnext_list_sales_invoices | List sales invoices with their customer, posting date, due date, status and outstanding amount — the answer to 'what is still unpaid' |
erpnext_list_items | List items from the catalogue with their code, name, group, stock UOM and default rate |
erpnext_list_stock_balance | Read per-warehouse stock: actual, reserved and projected quantity per item |
erpnext_create_document | Create a document of any DocType |
FAQ
Gemini 1.5 Pro o 2.x supportano MCP? Sì — Gemini CLI ≥ 0.4 e la Vertex AI tools API accettano connettori MCP httpUrl con header Bearer.
Prossimi passi
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