Xero MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Xero through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Xero Assistant",
instructions=(
"You help users interact with Xero. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Xero"
)
print(result.final_output)
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 Xero MCP Server
Connect your Xero account to any AI agent and manage your business finances through natural conversation.
The OpenAI Agents SDK auto-discovers all 9 tools from Xero through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Xero, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Xero MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 9 tools from Xero
Why Use OpenAI Agents SDK with the Xero MCP Server
OpenAI Agents SDK provides unique advantages when paired with Xero through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Xero + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Xero MCP Server delivers measurable value.
Automated workflows: build agents that query Xero, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Xero, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Xero tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Xero to resolve tickets, look up records, and update statuses without human intervention
Xero MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Xero to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Xero to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Xero + OpenAI Agents SDK FAQ
Common questions about integrating Xero MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Xero with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Xero to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
