How to integrate Chaser MCP with OpenAI Agents SDK

This guide walks you through connecting Chaser to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Chaser agent that can create a new invoice for customer abc ltd, list all customers with overdue invoices, update email address for customer by external id through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Chaser account through Composio's Chaser MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Chaser is accounts receivable automation software that sends invoice reminders and helps businesses get paid faster. It streamlines the collections process to save time and improve cash flow.

30 Tools

Introduction

This guide walks you through connecting Chaser to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Chaser agent that can create a new invoice for customer abc ltd, list all customers with overdue invoices, update email address for customer by external id through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Chaser account through Composio's Chaser MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Chaser
  • Configure an AI agent that can use Chaser as a tool
  • Run a live chat session where you can ask the agent to perform Chaser operations

What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

What is the Chaser MCP server, and what's possible with it?

The Chaser MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Chaser account. It provides structured and secure access to your accounts receivable data, so your agent can create and manage invoices, update customer records, generate credit notes, and retrieve key financial details on your behalf.

  • Automated invoice management: Create, update, and track invoices programmatically—making it easy for your agent to help you stay on top of accounts receivable.
  • Customer information handling: Retrieve, create, and update customer records so your assistant can help onboard new clients or keep customer details up-to-date.
  • Credit note processing: Generate and fetch credit notes, allowing your agent to handle adjustments and reconciliations quickly and accurately.
  • Organization data retrieval: Access up-to-date information about your organization, including IDs, currency settings, and compliance details, for seamless financial operations.
  • Efficient accounts review: Instantly pull lists of customers or credit notes to review outstanding balances, statuses, and financial health—all through conversational prompts.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Chaser project
  • Some knowledge of Python or Typescript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
3

Install dependencies

npm install @composio/openai-agents @openai/agents dotenv

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Chaser.
6

Set up the Composio instance

dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

// Create Tool Router session for Chaser
const session = await composio.create(userId as string, {
  toolkits: ['chaser'],
});
const mcpUrl = session.mcp.url;

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only chaser.
  • The router checks the user's Chaser connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Chaser.
  • This approach keeps things lightweight and lets the agent request Chaser tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Chaser. Help users perform Chaser operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Chaser and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute Chaser operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
What's happening:
  • The program prints a session URL that you visit to authorize Chaser.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Chaser and OpenAI Agents SDK:

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['chaser'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Chaser. Help users perform Chaser operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});

Conclusion

This was a starter code for integrating Chaser MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Chaser.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

Every Chaser action and event your agent gets out of the box.

Create Contact Person

Tool to create a new contact person for a customer in Chaser.

Create Invoice

Tool to create a new invoice record in the organization.

Create Overpayment

Creates a new overpayment record in Chaser for tracking customer overpayments.

Delete Contact Person

Tool to delete a contact person from a customer record in Chaser.

Get Contact Person by ID

Tool to get a specific contact person by ID for a customer.

Get Credit Note by ID

Retrieve detailed information for a specific credit note by its ID.

Get Credit Notes

Retrieves a list of credit notes from Chaser.

Get Current Organisation

Tool to retrieve information about the current organisation associated with the API credentials.

Get Customer by ID

Retrieve detailed information for a specific customer by their Chaser customer ID.

Get Customers

Tool to retrieve a list of all customers associated with the organization.

Get Invoice by ID

Tool to retrieve detailed information for a specific invoice by its ID.

Get Organization

Tool to retrieve information about the connected organizations.

Get Overpayment

Retrieve detailed information for a specific overpayment by its ID.

Get Status

Tool to check the status of the Chaser API.

List Contact Persons

Tool to retrieve contact persons for a specific customer.

List Invoices

Tool to retrieve invoices with pagination and filtering.

List Overpayments

Tool to retrieve overpayments from Chaser with pagination and filtering.

Create Credit Note

Creates a new credit note record in Chaser for tracking customer credits.

Create Customer

Tool to create a new customer record in Chaser.

Update Credit Note

Update an existing credit note in Chaser.

Update Customer

Tool to update an existing customer's information using their unique Chaser customer ID.

Update Invoice

Update an existing invoice in Chaser by its internal ID.

Update Contact Person

Tool to update a contact person for a customer in Chaser.

Update Overpayment

Tool to update an overpayment record in Chaser.

Upload Invoice PDF

Upload a PDF file to an existing invoice in Chaser.

Bulk Upsert Customers

Tool to bulk upsert up to 100 customers in a single operation.

Bulk Upsert Contact Persons

Tool to bulk insert or update contact persons for a customer.

Bulk Upsert Credit Notes

Tool to bulk upsert up to 100 credit notes in a single request.

Bulk Upsert Invoices

Tool to bulk upsert up to 100 invoices in a single request.

Bulk Upsert Overpayments

Tool to bulk upsert up to 100 overpayments in Chaser, matching by overpayment_id.

FAQ

Frequently asked questions

With a standalone Chaser MCP server, the agents and LLMs can only access a fixed set of Chaser tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Chaser and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Chaser tools.

Yes, absolutely. You can configure which Chaser scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Chaser data and credentials are handled as safely as possible.

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