A collection of examples demonstrating how to build AI agents that integrate with the Xero API using various agentic frameworks and the Xero MCP (Model Context Protocol) Server.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"xero-agent-toolkit": {
"command": "<see-readme>",
"args": []
}
}
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A comprehensive collection of examples demonstrating how to build AI agents that integrate with the Xero API using various agentic frameworks and the Xero MCP (Model Context Protocol) Server.
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A comprehensive collection of examples demonstrating how to build AI agents that integrate with the Xero API using various agentic frameworks and the Xero MCP (Model Context Protocol) Server.
This repository provides practical examples of building intelligent agents that can interact with Xero accounting data using different AI frameworks. Each example demonstrates how to leverage the Xero MCP Server to provide agents with structured access to Xero's comprehensive accounting functionality.
The examples in this repository show how to create AI agents that can:
Demonstrates integration with Google's Agent Development Kit (ADK), featuring:
Advanced LangChain integration showcasing:
OpenAI Agents SDK implementation featuring:
TypeScript implementation of OpenAI Agents SDK with:
TypeScript LangChain integration featuring:
Clone the repository:
git clone https://github.com/xeroapi/xero-agent-toolkit.git
cd xero-agent-toolkit
Choose your preferred framework and navigate to its directory
Follow the specific README in each subdirectory for detailed setup instructions
Set up your environment variables as specified in each example
Run the examples to see AI agents in action with Xero
All examples in this repository use the Xero MCP Server as the bridge between AI frameworks and the Xero API. This architecture provides: