How to Use the Umbrellar MCP in Pydantic AI

Q: How does Pydantic AI ensure claim submission accuracy with Umbrellar?

When the agent calls createclaim, every field must match a defined schema. If the API returns unexpected data, your agent fails loudly; you never get corrupted records.

Q: Can I list all available warranty plans using Umbrellar and Pydantic AI?

Yes. You can call listwarranties to get a full catalog of options. This capability gives you a clear, type-validated view of all available coverage.

Q: What data types are handled regarding privacy when using Umbrellar with Pydantic AI?

The MCP Server touches specific policy details and associated product identifiers. The agent validates every interaction to ensure the structural integrity of the data passed.

Q: Does this setup allow updating or viewing claims using Umbrellar with Pydantic AI?

It does. You can call updateclaim for modifications, and use getclaim to view specific records. The type checking ensures the update payload is correct.

Q: How do I ensure Umbrellar's product data stays synced with Pydantic AI?

You run syncproducts. This tool keeps your Shopify and Umbrellar records consistent, which prevents the agent from acting on stale or mismatched inventory information.

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Connect Umbrellar MCP to Pydantic AI

Create your Vinkius account to connect Umbrellar to Pydantic AI 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 Pydantic AI

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Submit and manage claims safely.

To start a claim, the agent uses `create_claim`. Because of Pydantic's validation, you know immediately if any submitted data is wrong. You can check status using `get_claim` or review history with `list_claims`.

Verify product eligibility and policies.

Need to confirm coverage? The agent validates a product's eligibility via `check_product_eligibility`. It also lets you check the full details of an existing plan using `get_warranty` or list all available options with `list_warranties`.

Keep records current and consistent.

The agent keeps your data accurate by handling product syncing between Shopify and Umbrellar using `sync_products`. You can also validate specific policy details by calling `validate_policy`.

Setup guide

Set up Umbrellar MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "umbrellar-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Umbrellar tools.",
)

result = await agent.run("List recent Umbrellar transactions")
print(result.output)

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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 Pydantic AI

When the agent calls `create_claim`, every field must match a defined schema. If the API returns unexpected data, your agent fails loudly; you never get corrupted records.

Yes. You can call `list_warranties` to get a full catalog of options. This capability gives you a clear, type-validated view of all available coverage.

The MCP Server touches specific `policy details` and associated product identifiers. The agent validates every interaction to ensure the structural integrity of the data passed.

It does. You can call `update_claim` for modifications, and use `get_claim` to view specific records. The type checking ensures the update payload is correct.

You run `sync_products`. This tool keeps your Shopify and Umbrellar records consistent, which prevents the agent from acting on stale or mismatched inventory information.

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