Can I retrieve my profit and loss report for a specific period via chat?

Yes. The `get_profit_and_loss` tool allows your AI agent to retrieve a PnL report by providing a start and end date. This provides an instant summary of your revenue and expenses without manual reporting.

How do I find out the outstanding amount on a specific invoice?

You can use the `get_invoice_details` tool. Provide the unique invoice ID, and your agent will return the full metadata, including the original amount, any applied payments, and the current balance due.

Is it possible to see my bank transactions through the agent?

Absolutely. Use the `list_bank_transactions` tool to retrieve a list of all transactions recorded in your Xero bank accounts, helping you monitor cash flow directly through your conversation.

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

Name: Xero
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 Xero through the 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 Xero "
            "(9 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 Xero MCP Server

Connect your Xero account to any AI agent and manage your business finances through natural conversation.

Pydantic AI validates every Xero tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through the 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 Lifecycle — List all sales and purchase invoices, retrieve comprehensive details including line items and taxes, and track payment statuses
Contact Management — Browse your entire database of customers and suppliers to retrieve contact IDs for accurate invoicing and reporting
Bank Reconciliation — Monitor cash flow by listing bank transactions and applied payments to stay on top of your accounts receivable and payable
Financial Reporting — Retrieve real-time Balance Sheet and Profit and Loss (PnL) reports for any specific date or period through simple commands
Chart of Accounts — Browse your general ledger accounts to verify codes and types (Bank, Expense, Revenue) before recording transactions
Organization Audit — Retrieve legal registration details, base currency, and high-level tenant information for compliance purposes
Business Insights — Quickly find unique invoice, transaction, and contact IDs required for automated accounting workflows

The Xero 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 Xero to Pydantic AI via MCP

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

Why Use Pydantic AI with the Xero MCP Server

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

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

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

Xero + Pydantic AI Use Cases

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

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

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

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

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

Xero MCP Tools for Pydantic AI (9)

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

get_balance_sheet

Returns assets, liabilities, and equity totals. Retrieves the balance sheet report for a specific date

get_invoice_details

Retrieves comprehensive details for a specific Xero invoice

get_organisation_info

Retrieves details about the Xero organization

get_profit_and_loss

Provide from_date and to_date. Retrieves the profit and loss (PnL) report for a specific date range

list_bank_transactions

Lists all transactions recorded in bank accounts

list_chart_of_accounts

Lists all accounts in the Xero chart of accounts

list_xero_contacts

Lists all customers and suppliers registered in Xero

list_xero_invoices

Lists all sales and purchase invoices in the Xero organization

list_xero_payments

Lists all payments applied to invoices

Example Prompts for Xero in Pydantic AI

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

"List all my unpaid invoices in Xero."

"What is our Profit and Loss for March 2026?"

"Find the contact ID for 'Global Tech' and show their last 3 payments."

Troubleshooting Xero MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Xero + Pydantic AI FAQ

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