Can I check the payment status of an invoice using the agent?

Yes! Use the `get_invoice` tool with the Invoice ID. Your agent will fetch the latest status, showing if it is draft, issued, or paid.

How do I list all my customers in Bexio?

Simply ask the agent to `list_contacts`. It will retrieve the directory of all companies and persons registered in your Bexio account.

Does the integration allow me to create a new invoice?

Currently, the toolset is focused on querying and management (listing contacts, checking projects, auditing invoices). For creating complex financial documents like invoices with multiple line items, we recommend using the Bexio platform directly.

Bexio MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Bexio
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Bexio 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 Bexio "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Bexio?"
    )
    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 Bexio MCP Server

Connect your Bexio account to any AI agent and orchestrate your business workflows, including CRM, accounting, and project management, through natural conversation.

Pydantic AI validates every Bexio tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Contact Management — List, create, and retrieve detailed information for customers, suppliers, and partners.
Invoicing & Sales — Query invoices, offers, and orders to stay on top of your sales pipeline and receivables.
Project Oversight — List all business projects and monitor their status and progress.
Inventory & Items — Access your product catalog and list items with pricing and stock metadata.
Team Collaboration — Retrieve lists of users within your Bexio organization for better task coordination.

The Bexio MCP Server exposes 10 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 Bexio to Pydantic AI via MCP

Follow these steps to integrate the Bexio 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 10 tools from Bexio with type-safe schemas

Why Use Pydantic AI with the Bexio MCP Server

Pydantic AI provides unique advantages when paired with Bexio 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 Bexio integration code

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

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

Bexio + Pydantic AI Use Cases

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

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

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

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

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

Bexio MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Bexio to Pydantic AI via MCP:

create_contact

Create a new contact

get_contact

Get specific contact details

get_invoice

Get specific invoice details

list_contacts

List all contacts

list_invoices

List all invoices

list_items

List all products/items

list_offers

List all offers

list_orders

List all orders

list_projects

List all projects

list_users

List all Bexio users

Example Prompts for Bexio in Pydantic AI

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

"List all active projects in Bexio."

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

"Show my last 5 invoices."

Troubleshooting Bexio MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Bexio + Pydantic AI FAQ

Common questions about integrating Bexio 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 Bexio MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.