Can I check the payment status of a specific invoice?

Yes! Use the `get_invoice` tool with the Invoice ID. Your agent will fetch the latest details and payment status (e.g., Draft, Issued, Paid).

How do I list all my customers in Billit?

Simply ask the agent to `list_parties`. It will retrieve the directory of all companies and persons registered as customers or suppliers in your account.

Can I see recent expenses or receipts?

Yes. Use the `list_expenses` tool to retrieve a list of all incoming invoices and receipts recorded in your Billit account.

Billit MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Billit
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Billit through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Billit "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Billit?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Billit MCP Server

Connect your Billit account to any AI agent and orchestrate your e-invoicing and accounting workflows through natural conversation.

Pydantic AI validates every Billit tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Invoicing Oversight — List and retrieve detailed e-invoices across the Peppol network.
Party Management — Manage your CRM of customers and suppliers (Parties) within Billit.
Expense Tracking — Query incoming expenses and receipts.
Product Catalog — Access your products and services list.
Company Information — Retrieve the authenticated company's core details.

The Billit MCP Server exposes 9 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Billit to Pydantic AI via MCP

Follow these steps to integrate the Billit MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Billit with type-safe schemas

Why Use Pydantic AI with the Billit MCP Server

Pydantic AI provides unique advantages when paired with Billit through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Billit integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Billit connection logic from agent behavior for testable, maintainable code

Billit + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Billit MCP Server delivers measurable value.

Type-safe data pipelines: query Billit with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Billit tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Billit and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Billit responses and write comprehensive agent tests

Billit MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Billit to Pydantic AI via MCP:

create_invoice

Create a new invoice

create_party

Create a new party (customer)

get_company_info

Get your company information

get_invoice

Get specific invoice details

get_party

Get specific party details

list_expenses

List all expenses

list_invoices

List all invoices

list_parties

List all parties (customers/suppliers)

list_products

List all products

Example Prompts for Billit in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Billit immediately.

"List all active invoices."

"Find the contact details for 'Acme Corp'."

"Show my last 3 expenses."

Troubleshooting Billit MCP Server with Pydantic AI

Common issues when connecting Billit to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Billit + Pydantic AI FAQ

Common questions about integrating Billit MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Billit MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.