How to Use the Erply ERP & POS MCP in LangChain

Chain your inventory and sales data directly into LangChain pipelines for automated retail decision-making.

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Connect Erply ERP & POS MCP to LangChain

Create your Vinkius account to connect Erply ERP & POS to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Erply ERP & POS with LangChain

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Claude

Perplexity

Real-time inventory orchestration in LangChain

Connect your logic to `list_inventory_stock_levels` to trigger automated reorder chains. Your agent monitors stock across locations and pushes updates to your supply chain database without manual intervention. This MCP Server provides the granular data needed to build reactive workflows. You define the thresholds, and the agent executes the logic based on live counts returned by the Erply API.

Automated sales document parsing

Feed `list_sales_documents` directly into your LangChain chains for immediate financial reporting. The agent extracts invoice details and maps them to your internal accounting structures. By chaining `get_product_detailed_data` after a transaction lookup, your agent builds a complete profile of every sale. You get specific insights into product performance without writing custom API wrappers.

Dynamic retail performance auditing

Use `quick_retail_performance_audit` as a primary node in your LangChain graph to summarize store health. The agent runs the audit, interprets the figures, and flags anomalies for human review. This setup replaces static dashboards with active reasoning. Your agent compares audit results against previous cycles and generates actionable summaries for your management team.

Setup guide

Set up Erply ERP & POS MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Erply ERP & POS tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "erply-erp-pos-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Erply ERP & POS transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Erply ERP & POS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Erply ERP & POS MCP in LangChain

Install the MCP adapters and point your client to the Vinkius endpoint. You then pass the tool list directly into your agent constructor to start executing calls.

Yes, it treats tool outputs as standard chain inputs. You can pipe the result of a product search directly into another function to pull stock details.

You manage state using the client session object. This keeps your agent's context consistent across multiple tool invocations.

Your credentials never leave your environment. Vinkius handles the handshake, and the MCP Server only processes the specific data you request.

The server uses atomic operations for data retrieval. Any failure in the chain stops execution, leaving your customer database untouched.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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