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How to Use the Authorize.net MCP in Pydantic AI

Connect Authorize.net to Pydantic AI to enforce strict runtime validation on every payment and refund your agent makes.

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Pydantic AI

Connect Authorize.net MCP to Pydantic AI

Create your Vinkius account to connect Authorize.net 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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Type-safe payments with Pydantic AI

Charging credit cards requires exact data formats. When your agent calls `create_transaction`, Pydantic AI validates the request body against your strict schemas before anything hits the gateway. If the LLM hallucinates a currency code or misses a required field, the framework throws a validation error immediately. Your system fails loudly instead of processing a bad charge.

Pull batch data with Pydantic AI

Fetching daily settlements is prone to unexpected API responses. Your agent executes `get_settled_batch_list` and `get_transaction_list` to grab the day's activity. Every returned record gets mapped into a Pydantic model. You never have to worry about missing keys or silent data corruption when building your financial reports.

Execute refunds via MCP Server

Handling returns means distinguishing between settled and unsettled funds. The agent checks the status using `get_transaction_details` to decide the next step. It will then execute `void_transaction` for pending charges or `refund_transaction` for completed ones. The strict typing guarantees the right transaction ID gets passed every time.

Setup guide

Set up Authorize.net MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "authorizenet-1-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Authorize.net. 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 Authorize.net MCP in Pydantic AI

Install pydantic-ai-slim[mcp]. Initialize MCPToolset with your endpoint URL and pass it to your Agent. Do not use the deprecated MCPServerHTTP class.
Pydantic AI is completely model-agnostic. You can route these payment tools through OpenAI, Anthropic, Gemini, or even a local model, and the type validation works exactly the same.
The framework catches the mistake at runtime. It raises a validation error before the HTTP request ever leaves your server, protecting your payment gateway from malformed calls.
Yes. Your agent can call list_customer_profiles and get_customer_profile. The returned data is immediately cast into your predefined Python classes for safe handling.
We route every tool execution through a secure V8 Isolate. Transaction amounts and customer profiles exist only in memory during the request and vanish the millisecond the sandbox terminates.

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