How to Use the Billsby MCP in Pydantic AI

Q: How do I register the Billsby toolset in Pydantic AI?

Install the MCP extension, then create an MCPToolset instance pointing to your Vinkius HTTP endpoint. Pass this toolset directly into the toolsets parameter of your Agent constructor to expose the billing tools.

Build type-safe billing pipelines using Pydantic AI and the Billsby MCP Server.

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Connect Billsby MCP to Pydantic AI

Create your Vinkius account to connect Billsby 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 Billsby with Pydantic AI

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Validate subscription schemas at runtime

The Billsby MCP Server guarantees that every billing payload matches your Python type definitions before execution. Pydantic AI validates the responses from tools like `get_subscription` and `list_subscriptions` instantly. If an API field changes unexpectedly, your system raises a standard validation error instead of failing silently. This runtime validation protects your database from corrupt entries. When calling `create_customer`, the agent must supply arguments that conform exactly to your Pydantic models, preventing bad data from hitting your billing system.

Inspect customer accounts with absolute correctness

This MCP Server provides direct access to customer profiles via `get_customer` and `list_customers`. Pydantic AI parses these payloads into strongly typed Python objects. Your code can safely access attributes like email or billing address without worrying about key errors. Because the framework is model-agnostic, you get the same type-safety whether you use local LLMs or commercial APIs. Your agent can safely query `get_customer_subscriptions` and trust the structure of the returned list.

Track financial metrics using Pydantic AI toolsets

The Billsby MCP Server exposes raw invoice histories through `list_invoices` and product catalogs via `list_products`. Pydantic AI structures this incoming data into clean schemas for immediate processing. This makes it easy to write custom scripts that calculate monthly recurring revenue or track outstanding balances. You can also query `list_addons` to see which extra features customers are buying. The framework validates these add-on structures, ensuring your reporting pipelines never break due to unexpected null values.

Setup guide

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

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

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

Get your connection token →

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

Install the MCP extension, then create an `MCPToolset` instance pointing to your Vinkius HTTP endpoint. Pass this toolset directly into the `toolsets` parameter of your `Agent` constructor to expose the billing tools.

Yes, the framework supports both Streamable HTTP and SSE transports. You configure the connection using the unified `MCPToolset` class, which manages the underlying client connection automatically.

The framework will fail loudly with a validation error, preventing your agent from processing corrupted or unexpected billing data. This ensures your downstream financial calculations remain 100% accurate.

Yes, since the framework is model-agnostic, you can connect this server to local models running via Ollama or llama.cpp. The tool schemas are translated automatically, allowing any compatible model to invoke them.

All validation occurs locally within your Python runtime, meaning your raw customer billing data, invoices, and subscriptions never pass through third-party parsing services. Vinkius secures the transport layer with end-to-end encryption.

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