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SAP S/4HANA MCP Server for LangChain 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect SAP S/4HANA through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "sap-s4hana": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using SAP S/4HANA, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
SAP S/4HANA
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About SAP S/4HANA MCP Server

Connect your SAP S/4HANA system to any AI agent and manage core ERP operations through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with SAP S/4HANA through native MCP adapters. Connect 9 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Business Partners — Create, read, and update business partner master data including customers, suppliers, and contacts
  • Purchase Orders — Create purchase orders, check approval status, and query PO history with full line-item detail
  • Sales Orders — Retrieve sales order data, delivery status, and billing documents across your sales organization
  • Inventory Management — Query material master data, stock levels by plant/storage location, and goods receipt history
  • Financial Postings — Post journal entries, retrieve G/L account balances, and query cost center reports
  • Production Planning — Check production order status, planned orders, and material requirements planning (MRP) results
  • Custom OData Queries — Execute any exposed OData v4 service on your S/4HANA system for tailored data access

The SAP S/4HANA MCP Server exposes 9 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect SAP S/4HANA to LangChain via MCP

Follow these steps to integrate the SAP S/4HANA MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 9 tools from SAP S/4HANA via MCP

Why Use LangChain with the SAP S/4HANA MCP Server

LangChain provides unique advantages when paired with SAP S/4HANA through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents — combine SAP S/4HANA MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across SAP S/4HANA queries for multi-turn workflows

SAP S/4HANA + LangChain Use Cases

Practical scenarios where LangChain combined with the SAP S/4HANA MCP Server delivers measurable value.

01

RAG with live data: combine SAP S/4HANA tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query SAP S/4HANA, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain SAP S/4HANA tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every SAP S/4HANA tool call, measure latency, and optimize your agent's performance

SAP S/4HANA MCP Tools for LangChain (9)

These 9 tools become available when you connect SAP S/4HANA to LangChain via MCP:

01

create_business_partner

Provide JSON with BusinessPartnerCategory (1=Person, 2=Organization), FirstName/LastName or OrganizationBPName1. Create a new business partner

02

create_purchase_order

Provide JSON with CompanyCode, PurchaseOrderType, Supplier, PurchasingOrganization, PurchasingGroup, and line items in _PurchaseOrderItem array. Create a purchase order

03

get_business_partner

Get a specific business partner by ID

04

get_gl_balances

Get G/L account balances

05

get_material_stock

Returns available quantities across storage locations. Get material stock levels

06

list_business_partners

Use OData $filter syntax for filtering — e.g. BusinessPartnerCategory eq '2' for organizations. List SAP business partners

07

list_purchase_orders

Filter by supplier, purchasing org, or status using OData $filter syntax. List purchase orders

08

list_sales_orders

Filter using OData syntax. List sales orders

09

query_odata

Provide the service path and entity set. Supports $filter, $select, $expand. Execute a custom OData v4 query

Example Prompts for SAP S/4HANA in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with SAP S/4HANA immediately.

01

"Show me all pending purchase orders for plant 1000 above €50,000."

02

"What's the current stock level for material MAT-2024-A across all plants?"

03

"Create a business partner record for 'NovaTech Solutions' as a supplier."

Troubleshooting SAP S/4HANA MCP Server with LangChain

Common issues when connecting SAP S/4HANA to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

SAP S/4HANA + LangChain FAQ

Common questions about integrating SAP S/4HANA MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect SAP S/4HANA to LangChain

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.