How to Use the NachoNacho MCP in Pydantic AI

Q: How do I list cards in Pydantic AI using NachoNacho?

Use the listcards tool within your MCPToolset. Pydantic AI will validate the list of card objects against your defined schema automatically.

Q: Can I use NachoNacho to update card limits in Pydantic AI?

You can call updatecard to change limits. Your agent will ensure the request payload matches the required format before sending it to the server.

Use the NachoNacho MCP Server with Pydantic AI to ensure type-safe, validated control over your SaaS subscriptions and card spend.

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Connect NachoNacho MCP to Pydantic AI

Create your Vinkius account to connect NachoNacho 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 NachoNacho with Pydantic AI

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Perplexity

Type-safe card management

Every action your agent takes is validated against strict models. When using `create_card`, Pydantic AI confirms the response matches expected data structures before proceeding. If the API sends back malformed data, your agent fails immediately. This prevents bad data from affecting your card limits or vendor payments.

Validate subscription data

Get a clear, typed view of your SaaS footprint. The agent calls `list_subscriptions` and validates each entry against your Pydantic schemas. This removes the risk of hallucinated subscription fields. You know exactly what you are paying for because the framework verifies the data at runtime.

Audit spend with Pydantic AI

Run `list_transactions` and ensure every record conforms to your business rules. The agent parses the logs and flags anomalies that don't fit the expected format. Use `get_transaction` to pull specific details. You get reliable, clean data every time, making it easy to track your budget accurately.

Setup guide

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

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

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

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Common questions about NachoNacho MCP in Pydantic AI

Yes. The tools return structured data that Pydantic AI validates against your models. This ensures your agent only acts on confirmed, correct information from NachoNacho.

Use the `list_cards` tool within your MCPToolset. Pydantic AI will validate the list of card objects against your defined schema automatically.

You can call `update_card` to change limits. Your agent will ensure the request payload matches the required format before sending it to the server.

Pydantic AI throws a validation error. This prevents your agent from acting on corrupt data, keeping your financial records consistent.

The server provides data on a per-request basis. Pydantic AI handles these payloads securely, ensuring your subscription details are never exposed to unauthorized processes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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