Xero MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Xero through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"xero": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Xero, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Xero through native MCP adapters. Connect 9 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Xero MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 9 tools from Xero via MCP
Why Use LangChain with the Xero MCP Server
LangChain provides unique advantages when paired with Xero through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Xero MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Xero queries for multi-turn workflows
Xero + LangChain Use Cases
Practical scenarios where LangChain combined with the Xero MCP Server delivers measurable value.
RAG with live data: combine Xero tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Xero, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Xero tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Xero tool call, measure latency, and optimize your agent's performance
Xero MCP Tools for LangChain (9)
These 9 tools become available when you connect Xero to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Xero to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersXero + LangChain FAQ
Common questions about integrating Xero MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
