How to Use the Upzelo MCP in LangChain

Q: How do I check customer data using Upzelo and LangChain?

You first call listcustomers to get all IDs. Then, your agent can pass those IDs into getcustomer to fetch the specific details you need for targeting.

Q: Can I automate flow management with Upzelo and LangChain?

Absolutely. You use listflows to see what's available, then startflow to kick off a retention campaign for any customer record you want.

Q: Does the MCP Server support subscription changes with Upzelo and LangChain?

Yes. After verifying details using getsubscription, your agent can execute updatesubscription to modify attributes programmatically, completing the sales action.

Q: How do I find all available retention flows with Upzelo and LangChain?

You simply call the listflows tool. It returns a list of every flow setup, letting your agent know what campaigns are ready to run.

Build Multi-Step Retention Agents with LangChain and Upzelo's MCP Server.

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Connect Upzelo MCP to LangChain

Create your Vinkius account to connect Upzelo 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 Upzelo with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Targeted Customer Identification

You can build a chain that first uses `list_customers` to pull a full roster. Then, passing the resulting list into `get_customer`, your agent drills down on specific account details for segmentation. This sequence lets you identify exactly which user segments need an immediate retention offer.

Flow Status and Management

Need to know if a personalized campaign is running? Your chain can check the status using `get_flow_session`. After confirming the session, it might call `start_flow` if needed. This makes your ReAct agent reliable for managing multi-step customer journeys.

Subscription and Profile Updates

When a user cancels, the agent can run through multiple steps. First, it checks the current status with `get_subscription`. Next, if an offer is accepted, it uses `update_subscription` to modify the account details. This completes the necessary automated service action.

Setup guide

Set up Upzelo 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 Upzelo 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({
    "upzelo-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 Upzelo 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 Upzelo. 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 Upzelo MCP in LangChain

You first call `list_customers` to get all IDs. Then, your agent can pass those IDs into `get_customer` to fetch the specific details you need for targeting.

Absolutely. You use `list_flows` to see what's available, then `start_flow` to kick off a retention campaign for any customer record you want.

Yes. After verifying details using `get_subscription`, your agent can execute `update_subscription` to modify attributes programmatically, completing the sales action.

This server handles customer records and subscription attributes. You'll be working with structured client details and billing information.

You simply call the `list_flows` tool. It returns a list of every flow setup, letting your agent know what campaigns are ready to run.

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