# How to integrate Amcards MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Amcards MCP with OpenAI Agents SDK",
  "toolkit": "Amcards",
  "toolkit_slug": "amcards",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/amcards/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/amcards/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:01:07.832Z"
}
```

## Introduction

This guide walks you through connecting Amcards to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Amcards agent that can list all cards i've sent this month, find contacts with the last name smith, show newest contacts added last week through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Amcards account through Composio's Amcards MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Amcards with

- [Claude Agent SDK](https://composio.dev/toolkits/amcards/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/amcards/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/amcards/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/amcards/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/amcards/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/amcards/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/amcards/framework/cli)
- [Google ADK](https://composio.dev/toolkits/amcards/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/amcards/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/amcards/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/amcards/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/amcards/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/amcards/framework/crew-ai)

## 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 Amcards
- Configure an AI agent that can use Amcards as a tool
- Run a live chat session where you can ask the agent to perform Amcards 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 Amcards MCP server, and what's possible with it?

The Amcards MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Amcards account. It provides structured and secure access to your card library and contact list, so your agent can retrieve cards, manage contacts, monitor campaigns, and streamline customer engagement on your behalf.
- Card library management: Instantly retrieve a list of all greeting cards in your Amcards account so you can review, organize, or select cards for campaigns.
- Comprehensive contact retrieval: Ask your agent to fetch your contact list—including names, emails, and details—making it easy to personalize outreach or update records.
- Filtered contact lookup: Find specific contacts by searching with filters like last name, first name, or email, allowing you to target the right recipients quickly.
- Campaign preparation and monitoring: Let your agent pull card and contact data to support mailing campaigns, track card activity, and optimize your customer connection strategy.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `AMCARDS_GET_API_SCHEMA` | Get API Schema | Tool to retrieve the entire schema for AMCards API V1. Use when you need to discover available API endpoints, resources, and their structure. |
| `AMCARDS_GET_CARDS` | Get Cards | This tool retrieves a list of all cards associated with the authenticated account. The action is completely independent and doesn't require any external resource IDs or parameters beyond authentication. It allows users to monitor, track, and manage their cards. |
| `AMCARDS_GET_CATEGORY` | Get Category | Tool to retrieve details of a specific category by ID. Use when you need to fetch information about a card template category including its title, hierarchy, and priority. |
| `AMCARDS_GET_CATEGORY_SCHEMA` | Get Category Schema | Tool to retrieve the schema for Category resource. Categories are readonly. Use when you need to understand the structure and available fields of the Category resource. |
| `AMCARDS_GET_CONTACTS` | Get Contacts | This tool retrieves a list of contacts from AMCards. It is used for managing contacts by providing details like limit, skip, and filters (e.g., last_name, first_name, email). The tool returns an array of contact objects containing fields such as id, first_name, last_name, email, created_at, and updated_at. |
| `AMCARDS_GET_GIFT` | Get Gift | Tool to retrieve details of a specific gift by ID. Use when you need to fetch information about a particular gift including its name, description, price, shipping cost, and availability. |
| `AMCARDS_GET_PUBLIC_TEMPLATE` | Get Public Template | Tool to retrieve details of a specific public template by ID. Use when you need to get information about a specific template including its configuration, panels, and metadata. |
| `AMCARDS_LIST_CATEGORIES` | List Categories | Tool to retrieve a list of card template categories from AMCards. Categories are returned ordered by their priority (1 is highest). Use when you need to browse available categories, filter by parent category, or search categories by title. |
| `AMCARDS_LIST_GIFTS` | List Gifts | Tool to retrieve a list of Gift items offered by AMcards. Use when you need to display or reference available gifts for selection or purchase. No authorization required. |
| `AMCARDS_LIST_PUBLIC_TEMPLATES` | List Public Templates | Tool to retrieve a list of public templates available to all users. Use when you need to browse or search available card templates. No authorization required for this endpoint. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Amcards MCP server is an implementation of the Model Context Protocol that connects your AI agent to Amcards. It provides structured and secure access so your agent can perform Amcards operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

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

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

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 Amcards.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
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';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
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(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only amcards.
- The router checks the user's Amcards connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Amcards.
- This approach keeps things lightweight and lets the agent request Amcards tools only when needed during the conversation.
```python
# Create a Amcards Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["amcards"]
)

mcp_url = session.mcp.url
```

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

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Amcards. "
        "Help users perform Amcards operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

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

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// 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);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["amcards"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Amcards. "
        "Help users perform Amcards operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
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: ['amcards'],
  });
  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 Amcards. Help users perform Amcards 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 Amcards MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Amcards.
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.

## How to build Amcards MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/amcards/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/amcards/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/amcards/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/amcards/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/amcards/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/amcards/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/amcards/framework/cli)
- [Google ADK](https://composio.dev/toolkits/amcards/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/amcards/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/amcards/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/amcards/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/amcards/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/amcards/framework/crew-ai)

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Amcards MCP?

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

### Can I use Tool Router MCP with OpenAI Agents SDK?

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 Amcards tools.

### Can I manage the permissions and scopes for Amcards while using Tool Router?

Yes, absolutely. You can configure which Amcards 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.

### How safe is my data with Composio Tool Router?

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 Amcards data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)