How do I find my Moneybird Administration ID?

Log in to Moneybird via your browser. The ID is the numeric string in the URL immediately following 'moneybird.com/' (e.g., in moneybird.com/123456789/..., the ID is 123456789).

Can I see my bank transactions through this server?

Yes! Use the `list_financial_mutations` tool to retrieve all bank mutations and financial movements recorded in your Moneybird administration.

Does this support purchase invoices (expenses)?

Yes. The `list_purchase_invoices` tool allows you to see all incoming invoices from your suppliers and track your business expenses.

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

Name: Moneybird
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 Moneybird 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 Moneybird "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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About Moneybird MCP Server

Connect your Moneybird administration to your AI agent and take full control of your business accounting and invoicing through natural conversation.

Pydantic AI validates every Moneybird 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

Invoicing & Sales — List all sales invoices and get detailed info on specific ones, including amounts and due dates.
Purchase Tracking — Access your incoming purchase invoices from suppliers to keep track of expenses.
Financial Mutations — Monitor bank mutations and all financial transactions within your administration.
Recurring Billing — List and manage your recurring sales invoice templates for automated billing.
Ledger & Bookkeeping — View your chart of accounts (ledger accounts) and defined accounting workflows.
Contact Management — View and create customer or supplier contacts to keep your CRM updated.
Estimates Oversight — Access and list your business estimates to track potential sales.

The Moneybird 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 Moneybird to Pydantic AI via MCP

Follow these steps to integrate the Moneybird 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 Moneybird with type-safe schemas

Why Use Pydantic AI with the Moneybird MCP Server

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

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

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

Moneybird + Pydantic AI Use Cases

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

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

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

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

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

Moneybird MCP Tools for Pydantic AI (10)

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

create_contact

Create a new contact in Moneybird

get_invoice

Get specific invoice details

list_contacts

List Moneybird contacts

list_estimates

List business estimates

list_financial_mutations

List financial transactions

list_invoices

List sales invoices

list_ledger_accounts

List ledger accounts

list_purchase_invoices

List purchase invoices

list_recurring_invoices

List recurring invoices

list_workflows

List accounting workflows

Example Prompts for Moneybird in Pydantic AI

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

"List all my sales invoices from the last month."

"Check my recent bank mutations."

"List my purchase invoices from suppliers."

Troubleshooting Moneybird MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Moneybird + Pydantic AI FAQ

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