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 CrewAI 9 tools — connect in under 2 minutes

Name: Xero
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

Connect your CrewAI agents to Xero through Vinkius, pass the Edge URL in the `mcps` parameter and every Xero tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Xero Specialist",
    goal="Help users interact with Xero effectively",
    backstory=(
        "You are an expert at leveraging Xero tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Xero "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Xero becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Xero tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Xero MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 9 tools from Xero

Why Use CrewAI with the Xero MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Xero through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Xero + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Xero for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Xero, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Xero tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Xero against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Xero MCP Tools for CrewAI (9)

These 9 tools become available when you connect Xero to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Xero + CrewAI FAQ

Common questions about integrating Xero MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.