How to Use the Mastercard MCP in Pydantic AI

Use Pydantic AI with the Mastercard MCP Server to ensure type-safe financial data handling and precise payment validation.

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Connect Mastercard MCP to Pydantic AI

Create your Vinkius account to connect Mastercard 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 Mastercard with Pydantic AI

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Type-safe account validation for Pydantic AI

Use `validate_account` to verify card status. Since you are using Pydantic AI, the response is checked against your models at runtime. This prevents your agent from proceeding if the card status is invalid, ensuring your application logic stays clean and predictable.

Find payment locations with Pydantic AI

Execute `nearby_locations` to get a list of points of interest near specific coordinates. Your agent receives structured data that fits your schema perfectly. This lets you build features that rely on accurate distance and merchant category data, validated by the framework before the agent even sees it.

Report confirmed fraud using Pydantic AI

Call `submit_fraud_report` to send confirmed transaction data to the network. Your agent structures the payload, and the framework validates every field. This ensures that your fraud reporting remains compliant and error-free, as any malformed data triggers a validation error immediately.

Setup guide

Set up Mastercard 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": {
        "mastercard-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

It is a perfect match. The framework validates every response from the Mastercard server against your models, catching issues before they impact your logic.

You define the toolset using the endpoint URL. Once connected, your agent treats the 12 tools as native functions.

Yes. The agent uses the tool with your defined parameters, and the framework ensures the output matches your expected merchant data structure.

Yes. The framework enforces strict type checks on all inputs and outputs, so you never have to worry about unexpected field types.

The server processes them in memory and the framework does not persist them. Your agent only sees the validation result, keeping the raw data isolated and secure.

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