How to Use the PHC GO MCP in LangChain

Chain your PHC GO operations directly into LangChain agents for automated document creation and inventory management.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect PHC GO MCP to LangChain

Create your Vinkius account to connect PHC GO to LangChain — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup PHC GO with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Automated document workflows for LangChain

Connect your agents to PHC GO to trigger `create_document` calls based on upstream data. You define the logic flow where the agent reads current order requirements and generates the correct commercial document without manual intervention. This setup ensures your agent passes parameters correctly from `list_customers` into document generation. By linking these tools, you turn raw business data into active records within your ERP.

Real-time stock tracking with LangChain

Keep your inventory data current by using `list_stocks` as a functional node in your agent chain. The agent checks current levels before it attempts to process any new orders or shipments. Your pipeline gains visibility into warehouse availability across your entire operation. It prevents overselling by verifying data against `list_warehouses` before moving to the next step in the chain.

Customer account management in LangChain

Query your customer base using `search_customers` to pull exact identifiers for billing and record keeping. The agent retrieves specific financial standing data via `list_current_accounts` to inform its next decision. This integration allows your agent to handle account inquiries and data updates programmatically. It treats your ERP as a live data source that responds instantly to agent-driven requests.

Setup guide

Set up PHC GO 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 PHC GO 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({
    "phc-go-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 PHC GO transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by PHC GO. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect PHC GO now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about PHC GO MCP in LangChain

Install the required adapters and initialize the MCP client pointing to your server URL. Once connected, fetch the tool list and inject them into your agent definition to grant access to your ERP data.

Yes. You build chains where the output of one tool call, such as `get_customer_details`, becomes the input for a subsequent operation like `create_document`.

The server operates on a per-session basis, ensuring that your ERP credentials are never exposed. Your agent only sees the data returned by the tools you explicitly permit.

Use LangSmith tracing to monitor every request sent to the server. You'll see exactly which tool was called, the latency, and the resulting payload from the ERP.

It accesses your ERP's sensitive business records, specifically customer identities, financial account balances, product catalogs, and commercial document history.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript