google-adk

Xero Google ADK Integration

This module demonstrates how to integrate Xero accounting operations with Google's Agent Development Kit (ADK) using the Xero MCP (Model Context Protocol) Server.

Overview

The google-adk.py file provides a complete implementation of a Xero AI agent that can:

• List and create contacts/customers
• Manage invoices (list, create, view)
• Handle payments and accounting operations
• Process natural language queries about Xero data
• Demonstrate error handling and batch operations

Features

• Real-time Xero Integration: Uses the Xero MCP Server for direct API access
• Natural Language Processing: Handles conversational queries about accounting data
• Comprehensive Error Handling: Graceful handling of API errors and edge cases
• Interactive Demo Mode: Run interactive sessions with the AI agent
• Multiple Demo Scenarios: Pre-built demos for different use cases

Prerequisites

1. Node.js and npm: Required for the Xero MCP Server

   # Install Node.js from https://nodejs.org/
   node --version
   npm --version

2. Xero Developer Account: Get your credentials from Xero Developer Portal

   • Client ID
   • Client Secret

3. Google AI Configuration: Set up either Google AI Studio or Vertex AI

   • For Google AI Studio: Get API key from Google AI Studio
   • For Vertex AI: Set up Google Cloud project and authentication

Installation

1. Install the required Python dependencies:

   pip install -r requirements.txt

2. Set up environment variables in a .env file:

   # Xero API Credentials
   XERO_CLIENT_ID=your_xero_client_id
   XERO_CLIENT_SECRET=your_xero_client_secret
   
   # Google AI Configuration (choose one)
   # Option 1: Google AI Studio
   GOOGLE_API_KEY=your_google_ai_studio_api_key
   
   # Option 2: Vertex AI
   GOOGLE_GENAI_USE_VERTEXAI=TRUE
   GOOGLE_CLOUD_PROJECT=your_project_id
   
   # Optional: Specify model (defaults to gemini-2.0-flash)
   DEFAULT_MODEL=gemini-2.0-flash

Usage

Running the Interactive Demo

python google-adk.py

This will present you with several demo options:

1. Basic Operations: List contacts, invoices, and account summary
2. Invoice Workflow: Complete invoice creation workflow
3. Natural Language Processing: Process conversational queries
4. Error Handling: Demonstrate error scenarios
5. Batch Operations: Multiple operations in sequence
6. Interactive Demo: Chat-like interface with the agent

Using as a Library

import asyncio
from google-adk import XeroADKAgent

async def example():
    async with XeroADKAgent() as agent:
        # Ask natural language questions
        result = await agent.process("Show me my recent invoices")
        print(result)
        
        # Create new contacts
        result = await agent.process("Create a new customer named ABC Corp")
        print(result)

# Run the example
asyncio.run(example())

Available MCP Tools

The agent has access to these Xero MCP tools:

• list-contacts: List all contacts/customers
• create-contact: Create new contacts
• list-invoices: List invoices with filtering
• create-invoice: Create new invoices
• list-accounts: List chart of accounts
• list-items: List inventory items
• list-tax-rates: List available tax rates
• list-tracking-categories: List tracking categories
• update-contact: Update existing contacts
• update-invoice: Update draft invoices
• create-payment: Create payments against invoices
• list-payments: List existing payments
• list-organisation-details: Get organization information

Example Queries

The agent can handle natural language queries like:

• "Show me a summary of my Xero account"
• "List my first 5 contacts"
• "Create a new customer named Demo Company Inc with email demo@company.com"
• "Create an invoice for Demo Company Inc for consulting services worth $750"
• "What's the current state of my invoices?"
• "Show me all my customers"
• "I need to bill my client $2,000 for consulting work"

Architecture

The integration uses:

• Google ADK: For AI agent framework and natural language processing
• Xero MCP Server: For secure, structured access to Xero API
• Model Context Protocol: For tool communication between ADK and Xero
• Async/Await: For non-blocking operations and better performance

Error Handling

The agent includes comprehensive error handling for:

• Missing environment variables
• Network connectivity issues
• Invalid Xero API responses
• Tool execution failures
• Async operation cleanup

Troubleshooting

Common Issues

1. "npx is not installed"

   • Install Node.js from https://nodejs.org/

2. "Missing required environment variables"

   • Check your .env file has all required Xero credentials

3. "Google ADK is not installed"

   • Run pip install -r requirements.txt

4. "No model configuration found"

   • Set either GOOGLE_API_KEY or GOOGLE_GENAI_USE_VERTEXAI=TRUE

Debug Mode

Enable debug output by setting:

GOOGLE_GENAI_LOG_LEVEL=DEBUG

Contributing

When extending this integration:

1. Add new MCP tools to the tool_filter in create_xero_mcp_toolset()
2. Update the agent instructions to include new capabilities
3. Add corresponding demo scenarios
4. Update this README with new features