Skip the install. Get this working in under 2 minutes.
Start a free trial on cloud.anythingmcp.com, add the SAP Business One in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.
Summary
Drive SAP Business One ERP (popular Mittelstand SMB target in DACH) from any AI agent: business partners, items, sales orders, A/R invoices, quotations, deliveries. Service Layer OData v4. Session-cookie auth via /Login.
Frag einfach
Beispiel-Prompts für SAP Business One
Klick auf einen Prompt, um ihn zu kopieren. In Claude, ChatGPT, Cursor, Gemini, Copilot oder OpenClaw einfügen — und gegen diesen Konnektor laufen lassen.
Claude ist KI und kann Fehler machen. Bitte Antworten gegenprüfen.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → SAP Business One klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
SAP Business One + Gemini
Drive SAP Business One ERP (popular Mittelstand SMB target in DACH) from any AI agent: business partners, items, sales orders, A/R invoices, quotations, deliveries. Service Layer OData v4. Session-cookie auth via /Login.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
SAP_B1_HOST, SAP_B1_PORT, SAP_B1_COMPANY_DB, SAP_B1_USERNAME, SAP_B1_PASSWORD
Schritt 1 — Zugangsdaten holen
Setup:
- Identify your Service Layer host (typically the same machine that runs HANA + SAP B1). Default HTTPS port is
50000. - Create or pick a B1 user that has API access for the company database you want to expose.
- Find the
CompanyDBname in Choose Company dialog of the B1 client (looks likeSBODEMOGB). - Set the five env vars below. The adapter logs in once per session (~25 min TTL) and re-uses the
B1SESSIONcookie.
OData: this adapter targets the v2 / OData v4 Service Layer endpoint at /b1s/v2/. Older /b1s/v1/ (OData v3) deployments are not covered — upgrade to FP 2405+ first.
…(continued in the in-app connector instructions)
Schritt 2 — Adapter installieren
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Schritt 3 — Connector in Gemini hinzufügen
Gemini CLI liest MCP-Server aus ~/.gemini/settings.json (oder %APPDATA%\gemini\settings.json unter Windows). Hinzufügen:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Hole deinen MCP API Key aus AnythingMCP → Profil → MCP API Keys → Neuer Key.
- Speichern und
geminineu starten. /mcpin Gemini CLI ausführen —SAP Business Onesollte als verfügbar gelistet sein.- Vertex AI Studio:
https://cloud.anythingmcp.com/mcpimtools-Array der Anfrage mit demselben Bearer-Header übergeben.
Verfügbare Tools
| Tool | What it does |
|---|---|
b1_list_business_partners | List business partners (customers, suppliers, leads) |
b1_get_business_partner | Get one business partner by CardCode |
b1_list_items | List inventory items (articles) |
b1_get_item | Get one item by ItemCode |
b1_list_orders | List sales orders |
b1_get_order | Get one sales order by DocEntry (integer primary key) |
b1_create_order | Create a new sales order |
b1_list_invoices | List A/R invoices |
b1_get_invoice | Get one A/R invoice by DocEntry |
b1_list_quotations | List sales quotations |
b1_list_delivery_notes | List delivery notes (outgoing goods movements) |
b1_get_company_info | Sanity check: returns company metadata (admin info) |
FAQ
Unterstützen Gemini 1.5 Pro oder 2.x MCP? Ja — Gemini CLI ≥ 0.4 und die Vertex AI Tools API akzeptieren MCP httpUrl-Connectors mit Bearer-Header.
Nächste Schritte
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