How to Use the Umbrellar MCP in LangChain

Q: How do I query past Umbrellar claims using LangChain?

You start by calling listclaims to get an overview of all submissions. If you know a specific claim ID, use getclaim. The output provides the claimant details and status, which your agent can then process against current policy rules.

Q: Does Umbrellar support updating claims using LangChain?

Yes. After retrieving a claim's data with getclaim, you pass that specific ID to the updateclaim tool. This allows your agent to modify details—like adding supporting documentation or changing the status—in one controlled step.

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Create your Vinkius account to connect Umbrellar 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 Umbrellar with LangChain

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Automating Claim Submission Workflows

Your AI client uses the `check_product_eligibility` tool to determine if a product qualifies. Then, it can pass that eligibility status directly into the `create_claim` function to submit a new warranty claim automatically. You'll build chains where one step—like running `get_policy`—provides the necessary data points (ID, order name) for the next tool call, like `validate_policy`. This lets your agent reason through complex service scenarios.

Aggregating Product and Policy Data

Need to know everything about a product's history? Start by calling `register_product` to get the basic details. Next, chain that output into `list_warranties` and then use the resulting plan IDs in `get_warranty`. This process lets your LangChain agent build a complete picture of coverage, running through multiple data sources sequentially without human intervention.

Syncing Data Across Systems

Keep your inventory accurate by chaining the `sync_products` tool. This action ensures product lists are consistent between Shopify and Umbrellar. Once synced, you can use the updated list in `list_policies` to verify that every new item has a corresponding service policy recorded before proceeding with sales.

Setup guide

Set up Umbrellar 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 Umbrellar 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({
    "umbrellar-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 Umbrellar 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 Umbrellar. 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 Umbrellar MCP in LangChain

You start by calling `list_claims` to get an overview of all submissions. If you know a specific claim ID, use `get_claim`. The output provides the claimant details and status, which your agent can then process against current policy rules.

Yes. After retrieving a claim's data with `get_claim`, you pass that specific ID to the `update_claim` tool. This allows your agent to modify details—like adding supporting documentation or changing the status—in one controlled step.

The server handles product registration details, warranty policy IDs, and claim records. Specifically, it processes structured data related to product eligibility and service history.

Absolutely. The core strength here is chaining; the output from one MCP tool call becomes the direct, structured input for the next tool call, allowing complex, multi-stage reasoning.

Umbrellar primarily touches product registration data, warranty policy details, and claim history. Always ensure your agent's execution environment adheres to the necessary security protocols when handling these service records.

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