How to Use the Corpay One MCP in Pydantic AI

Q: How do I configure Corpay One within Pydantic AI?

Install the framework with MCP support, instantiate MCPToolset with the Vinkius HTTP URL, and register it in your agent's toolsets list. The server must run externally.

Validate every Corpay One financial transaction at runtime using the type-safe Pydantic AI framework.

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Connect Corpay One MCP to Pydantic AI

Create your Vinkius account to connect Corpay One 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 Corpay One with Pydantic AI

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Type-Safe Payment Auditing

The `list_payments` tool fetches your payment history with strict type definitions enforced by your schema through this MCP Server. If the API returns an unexpected null value, Pydantic AI halts execution immediately to prevent corrupted data pipelines. You get guaranteed structure when parsing payment logs. The agent uses `get_payment_details` to verify individual transactions, matching the output directly to your internal Pydantic models.

Secure Document Ingestion with Pydantic AI

The `create_new_document` tool uploads files to your financial queue while ensuring all metadata matches your exact typing rules. Your agent verifies the document structure before the API call even occurs. Once uploaded, the agent runs `get_document_details` to confirm the system parsed the invoice correctly. Any mismatch triggers a validation error, preventing corrupt files from entering your accounting database.

Vendor and Team Directory Verification

The `list_account_vendors` tool retrieves your supplier list and maps it to strongly typed Python classes. This ensures your agent never processes payments to malformed or incomplete vendor profiles. Cross-referencing this with `list_team_users` lets you confirm that an active employee approved the document. The run fails loudly if the approving user ID doesn't match your team schema.

Setup guide

Set up Corpay One 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": {
        "corpay-one-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Corpay One 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 Corpay One. 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 Corpay One MCP in Pydantic AI

Install the framework with MCP support, instantiate `MCPToolset` with the Vinkius HTTP URL, and register it in your agent's toolsets list. The server must run externally.

If the MCP Server returns data that violates your Pydantic models, the framework raises a validation error. This prevents your agent from making decisions based on malformed financial records.

Yes, this setup is model-agnostic. You can run these financial tools with Anthropic, Gemini, or local models while maintaining strict type-safety.

This server communicates via Streamable HTTP and SSE transports. Vinkius manages the endpoint, providing a single secure token for your application.

The Vinkius platform processes all tool calls inside a zero-trust V8 isolate. Your vendor records and payment details are never cached, logged, or exposed to the public internet during MCP execution.

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