# How to integrate Dub MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Dub MCP with OpenAI Agents SDK",
  "toolkit": "Dub",
  "toolkit_slug": "dub",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/dub/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/dub/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-03-29T06:31:40.325Z"
}
```

## Introduction

This guide walks you through connecting Dub to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Dub agent that can create a branded short link for event registration, show analytics for "newsletter" short link, update destination url for your sales link through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Dub account through Composio's Dub MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Dub with

- [Claude Agent SDK](https://composio.dev/toolkits/dub/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/dub/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/dub/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/dub/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/dub/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/dub/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/dub/framework/cli)
- [Google ADK](https://composio.dev/toolkits/dub/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/dub/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/dub/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/dub/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/dub/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/dub/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 Dub
- Configure an AI agent that can use Dub as a tool
- Run a live chat session where you can ask the agent to perform Dub 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 Dub MCP server, and what's possible with it?

The Dub MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dub account. It provides structured and secure access so your agent can perform Dub operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DUB_BULK_DELETE_LINKS` | Bulk Delete Links | Tool to delete multiple short links in bulk from Dub. Use when you need to remove multiple links at once. Maximum of 100 link IDs per request. Non-existing IDs are silently ignored. |
| `DUB_BULK_UPDATE_LINKS` | Bulk Update Links | Tool to update multiple short links in bulk. Use when you need to apply the same updates to multiple links at once by specifying link IDs or external IDs. |
| `DUB_CREATE_DOMAIN` | Create Domain | Tool to add a domain to a Dub workspace. Use when you need to create a new domain for shortening links. The domain must be verified before it can be used for link shortening. |
| `DUB_CREATE_TAG` | Create Tag | Tool to create a new tag in Dub. Use when you need to organize links by creating custom tags. Tags help categorize and filter links for better organization. |
| `DUB_DELETE_DOMAIN` | Delete Domain | Tool to delete a domain from your Dub workspace. Use when you need to permanently remove a domain. The domain must exist and be owned by your workspace. |
| `DUB_DELETE_TAG` | Delete Tag | Tool to delete a tag from Dub. Use when you need to remove a tag that is no longer needed. |
| `DUB_GET_LINK_INFO` | Get Link Info | Tool to retrieve details of a specific short link from Dub. Use when you need to get comprehensive information about a link including its configuration, targeting settings, and performance metrics. |
| `DUB_GET_LINKS` | Get Links | Tool to retrieve a paginated list of links for the authenticated workspace. Use when you need to list links with optional filtering by domain, tags, folder, search terms, or user. Supports pagination and sorting for efficient retrieval of large link collections. |
| `DUB_GET_LINKS_COUNT` | Get Links Count | Tool to retrieve the count of links in workspace with optional filters. Use when you need to get the total number of links matching specific criteria such as domain, tags, folder, or search terms. |
| `DUB_RETRIEVE_LIST_OF_TAGS` | Retrieve List of Tags | Tool to retrieve a list of tags from Dub. Use when you need to fetch all tags or search for specific tags by name or IDs. Supports pagination and sorting by name or creation date. |
| `DUB_GET_WORKSPACE` | Get Workspace | Tool to retrieve detailed information for a specific workspace. Use when you need to get workspace details including plan, usage limits, domains, users, and configuration settings. |
| `DUB_LIST_DOMAINS` | List Domains | Tool to retrieve a list of domains for the authenticated workspace. Use when you need to view all domains, search for specific domains, or filter domains by archived status. Supports pagination for large result sets. |
| `DUB_TRACK_DEEP_LINK_OPEN_EVENT` | Track Deep Link Open Event | Tool to track a deep link open event in Dub. Use when you need to record when a user opens your app via a deep link. Supports both direct tracking via deepLink parameter or probabilistic tracking via dubDomain parameter. |
| `DUB_UPDATE_DOMAIN` | Update Domain | Tool to update a domain configuration in Dub. Use when you need to modify domain settings like redirect URLs, placeholder text, archive status, or deep linking configurations. |
| `DUB_UPDATE_TAG` | Update Tag | Tool to update an existing tag by ID. Use when you need to change the name or color of a tag. |
| `DUB_UPDATE_WORKSPACE` | Update Workspace | Tool to update workspace settings in Dub. Use when you need to modify workspace name, slug, logo, or conversion tracking settings. |
| `DUB_UPSERT_A_LINK` | Upsert a Link | Tool to create or update a short link in Dub. Use when you need to create a new short link or update an existing one. If the link already exists (matching domain and key), it will be updated; otherwise, a new link will be created. |

## Supported Triggers

None listed.

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

The Dub MCP server is an implementation of the Model Context Protocol that connects your AI agent to Dub. It provides structured and secure access so your agent can perform Dub 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 Dub 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 Dub.
```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 dub.
- The router checks the user's Dub connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Dub.
- This approach keeps things lightweight and lets the agent request Dub tools only when needed during the conversation.
```python
# Create a Dub Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["dub"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Dub
const session = await composio.create(userId as string, {
  toolkits: ['dub'],
});
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 Dub. "
        "Help users perform Dub 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 Dub. Help users perform Dub 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=["dub"]
)
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 Dub. "
        "Help users perform Dub 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: ['dub'],
  });
  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 Dub. Help users perform Dub 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 Dub MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Dub.
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 Dub MCP Agent with another framework

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

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- [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing.
- [Peopledatalabs](https://composio.dev/toolkits/peopledatalabs) - Peopledatalabs delivers B2B data enrichment and identity resolution APIs. Supercharge your apps with accurate, up-to-date business and contact data.
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- [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach.

## Frequently Asked Questions

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

With a standalone Dub MCP server, the agents and LLMs can only access a fixed set of Dub tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Dub 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 Dub tools.

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

Yes, absolutely. You can configure which Dub 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 Dub data and credentials are handled as safely as possible.

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