How to Use the Belong Australia MCP in Pydantic AI

Q: How do I setup Belong Australia with Pydantic AI?

Install the slim package and define an MCPToolset pointing to the server. Add it to your agent’s tool list to start executing type-safe requests.

Integrate Belong Australia into your Pydantic AI agent for type-safe, validated account management.

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Connect Belong Australia MCP to Pydantic AI

Create your Vinkius account to connect Belong Australia 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 Belong Australia with Pydantic AI

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Perplexity

Validate Belong Australia balances with Pydantic AI

The `get_account_balance` tool returns data that your agent validates against a Pydantic model immediately. If the API structure shifts, your agent stops to prevent bad data. This keeps your agent's internal state consistent. It never hallucinates fields that don't exist in your account schema.

Fetch Belong Australia invoices with Pydantic AI

Use `list_invoices` to populate your agent's context with recent billing records. Every field is checked against your defined types. Follow up with `get_invoice_pdf` to retrieve documentation. The agent confirms the link is valid before passing it to your final report.

Query Belong Australia orders via Pydantic AI

Run `list_orders` to get a structured view of your account history. Your agent uses these models to track shipping progress or plan updates. Use `get_order_details` to drill down into specific transaction data. It ensures every detail meets your strict type requirements.

Setup guide

Set up Belong Australia 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": {
        "belong-australia-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Belong Australia 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 Belong Australia. 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 Belong Australia MCP in Pydantic AI

Install the slim package and define an `MCPToolset` pointing to the server. Add it to your agent’s tool list to start executing type-safe requests.

It fails loudly if the API returns malformed data. This forces your agent to handle the mismatch instead of continuing with corrupted info.

Yes, the toolset works with any model you choose. The Pydantic validation runs at the application level before the agent makes a decision.

The server supports both SSE and Streamable HTTP transports. You choose the one that fits your deployment architecture.

The server transmits only the requested account usage and order logs. Data is scoped to your session and handled via a single Vinkius endpoint.

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