How to Use the Hiveage MCP in Pydantic AI

Q: What happens if the Hiveage API changes when I'm using Pydantic AI?

Your agent will raise a ValidationError the next time it calls a tool and gets an unexpected response. This immediately alerts you to the change so you can update your Pydantic model, preventing silent failures.

Q: How do I connect Pydantic AI to the Hiveage tools?

You'll use the MCPToolset and provide it with the server URL from Vinkius. Pass the toolset to your Agent instance, and all the Hiveage tools will be available and validated automatically.

Build type-safe financial agents with Pydantic AI to ensure every Hiveage API call is validated against your data models.

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Connect Hiveage MCP to Pydantic AI

Create your Vinkius account to connect Hiveage 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 Hiveage with Pydantic AI

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Eliminate API Data Errors

This server's tools like `get_invoice_details` and `get_customer_details` return structured data. Pydantic AI automatically validates that the response from Hiveage matches your Pydantic model, every single time. If the Hiveage API changes a field name or data type, your agent won't process bad data. It will fail loudly with a `ValidationError`. This lets you fix the mismatch before it causes silent corruption in your accounting records.

Correct-by-Construction Invoicing

Write financial agents that are correct by design. Before your agent calls `record_payment`, you can have it validate the payment data against its own Pydantic model, ensuring it's sending properly structured information. This gives you runtime guarantees that your agent is working correctly. It's a much more disciplined way to build financial automation, and this MCP Server provides the necessary tools.

A Model-Agnostic MCP Server

Use `list_invoices` or `list_estimates` with any LLM you want—OpenAI, Anthropic, Gemini, or a local model running on your own machine. Pydantic AI manages the tool-calling logic and response validation for you. You aren't locked into a single AI provider. Just point your Pydantic AI agent at this MCP endpoint. It discovers all the Hiveage tools automatically and wraps them in a layer of type-safe validation.

Setup guide

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

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

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

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Common questions about Hiveage MCP in Pydantic AI

Pydantic AI validates the JSON response from any Hiveage tool against a Pydantic model you define. If the data doesn't match the model's structure and types, it raises an error instead of letting your agent use corrupted data.

Yes. Pydantic AI is model-agnostic. You can run your LLM locally and connect it to this Hiveage MCP Server to get type-safe access to your invoicing data without relying on a third-party model provider.

Your agent will raise a `ValidationError` the next time it calls a tool and gets an unexpected response. This immediately alerts you to the change so you can update your Pydantic model, preventing silent failures.

You'll use the `MCPToolset` and provide it with the server URL from Vinkius. Pass the toolset to your `Agent` instance, and all the Hiveage tools will be available and validated automatically.

Yes. The server is stateless and designed for security. It processes requests for your Hiveage payment, estimate, and customer data in-memory and does not log or store the content of any API call. Think of it as a secure pass-through that handles authentication.

Use it with your favorite AI tools

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

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