How to Use the Konfío MCP in Pydantic AI

Q: How do I install the Konfío MCP Server for Pydantic AI?

Run pip install "pydantic-ai-slimmcp". Initialize MCPToolset with your Vinkius HTTP endpoint and assign it to the toolsets array on your Agent.

Bring strict type safety to your Konfío financial operations. Pydantic AI validates every invoice and loan payment at runtime.

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Connect Konfío MCP to Pydantic AI

Create your Vinkius account to connect Konfío 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 Konfío with Pydantic AI

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Claude

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Enforce strict CFDI typing

Emit CFDI documents safely with the `create_invoice` tool. Pydantic AI forces the model to provide the exact RFC format, tax regime, and CFDI usage codes before executing the request. You can pull historical data using `list_invoices`. If the Konfío API returns an unexpected field, the framework throws a loud validation error instead of silently passing bad data to your application.

Automate supplier wires

Send supplier SPEI payments using `create_transfer` and `list_transfers`. Your agent structures the B2B wire data into strict Python models. You also pull company metadata with `get_business_profile`. Because the framework is model-agnostic, you can swap between OpenAI and Claude while keeping the exact same validation rules for your money movement.

Manage debt via this MCP Server

Handle your debt obligations via this Konfío MCP server. Tools like `get_loan_details` and `get_payment_schedule` fetch precise amortization figures. When it is time to pay, the agent triggers `make_loan_payment`. The runtime validation guarantees you never submit a malformed payment payload to the bank.

Setup guide

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

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

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

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Common questions about Konfío MCP in Pydantic AI

Run pip install "pydantic-ai-slim[mcp]". Initialize MCPToolset with your Vinkius HTTP endpoint and assign it to the toolsets array on your Agent.

It prevents hallucinated CFDI fields. The framework ensures your agent provides the exact required parameters for create_invoice before it ever hits the API.

Yes. Since Pydantic AI is model-agnostic, you can route check_credit_status requests through any LLM that supports tool calling.

The agent fails immediately. Pydantic AI checks the MCP server response against your schemas, catching errors before they corrupt your database.

Every request runs in a stateless V8 Isolate. The system wipes the memory space the second your payment schedule data leaves the container.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python