Connector guide2-minute read12 MCP toolsEnglish · Deutsch · Italiano

SAP Business One mit Gemini verbinden — über MCP

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.

HCBy HelpCode teamUpdated 2 min read Open source on GitHub

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MCP connector

SAP Business One

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.

Tools

12

Region

DE

Category

ERP

Authentication

Login Token (bcrypt + JWT)

Required env vars

SAP_B1_HOSTSAP_B1_PORTSAP_B1_COMPANY_DBSAP_B1_USERNAMESAP_B1_PASSWORD
Install in one click on Cloud

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  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Source-available BSL-1.1
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

No install? Use cloud.anythingmcp.com directly.

Sign in, install the SAP Business One in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.

Open Cloud

TL;DR

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.

💡 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:

  1. Identify your Service Layer host (typically the same machine that runs HANA + SAP B1). Default HTTPS port is 50000.
  2. Create or pick a B1 user that has API access for the company database you want to expose.
  3. Find the CompanyDB name in Choose Company dialog of the B1 client (looks like SBODEMOGB).
  4. Set the five env vars below. The adapter logs in once per session (~25 min TTL) and re-uses the B1SESSION cookie.

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" }
    }
  }
}
  1. Hole deinen MCP API Key aus AnythingMCP → Profil → MCP API Keys → Neuer Key.
  2. Speichern und gemini neu starten.
  3. /mcp in Gemini CLI ausführen — SAP Business One sollte als verfügbar gelistet sein.
  4. Vertex AI Studio: https://cloud.anythingmcp.com/mcp im tools-Array der Anfrage mit demselben Bearer-Header übergeben.

Verfügbare Tools

ToolWhat it does
b1_list_business_partnersList business partners (customers, suppliers, leads)
b1_get_business_partnerGet one business partner by CardCode
b1_list_itemsList inventory items (articles)
b1_get_itemGet one item by ItemCode
b1_list_ordersList sales orders
b1_get_orderGet one sales order by DocEntry (integer primary key)
b1_create_orderCreate a new sales order
b1_list_invoicesList A/R invoices
b1_get_invoiceGet one A/R invoice by DocEntry
b1_list_quotationsList sales quotations
b1_list_delivery_notesList delivery notes (outgoing goods movements)
b1_get_company_infoSanity 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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