Moneybird MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Check Api Health, Create Sales Invoice, List Catalog Products, and more
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.
Ask AI about this App Connector for Pydantic AI
The Moneybird app connector for Pydantic AI is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Moneybird?"
)
print(result.data)
asyncio.run(main())
* 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 Moneybird MCP Server
Connect your Moneybird administration to any AI agent and manage Dutch accounting through natural conversation.
Pydantic AI validates every Moneybird tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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
- Sales Invoices — Create, list, and send invoices to clients
- Contacts — Browse customers and suppliers
- Products — List product and service catalog
- Financial Mutations — Track bank transactions for reconciliation
- Purchase Invoices — List supplier invoices received
- Recurring Invoices — View automated recurring templates
- Receipts — List uploaded expense receipts
- Ledger Accounts — Browse accounting categories
- Tax Rates — List configured VAT/tax rates
The Moneybird MCP Server exposes 12 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.
All 12 Moneybird tools available for Pydantic AI
When Pydantic AI connects to Moneybird through Vinkius, your AI agent gets direct access to every tool listed below — spanning invoicing, expense-tracking, vat-compliance, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify Moneybird API connectivity
Requires a contact ID and line items. Create a new draft invoice
List products and services
List customers and suppliers
List uploaded receipts
List bank transactions
List accounting ledger categories
List received purchase invoices
List recurring invoice templates
Can be filtered by status (e.g., draft, open, paid). List sales invoices
List configured tax/VAT rates
Send an invoice to the customer
Connect Moneybird to Pydantic AI via MCP
Follow these steps to wire Moneybird into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
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
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 recent sales invoices and their statuses."
"Create a draft invoice for Beta Ltd with 2 line items."
"Show unreconciled bank transactions."
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
pip install --upgrade pydantic-aiMoneybird + Pydantic AI FAQ
Common questions about integrating Moneybird MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.