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How to integrate Dub MCP with Mastra AI

Connect Mastra AI to Dub MCP. Create a branded short link for event registration, show analytics for "newsletter" short link, and more using natural language, with authentication handled for you.

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Dub is a short link management platform with analytics and API access. Use it to easily create, manage, and track branded short links for your business.

17 Tools

Introduction

This guide walks you through connecting Dub to Mastra AI using the Composio tool router. By the end, you'll have a working Dub agent that can create and update short links, bulk edit links, manage custom domains, organize tags, and track deep link opens through natural language commands.

This guide will help you understand how to give your Mastra AI 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.

For exact tool slugs and parameter tables, see the tool catalog in the Composio docs.

Also integrate Dub with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKGrok BotCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKLlamaIndexCrewAIPydantic AIAutoGen

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Dub tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Dub tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Dub agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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 to your short links, domains, tags, and workspace details, so your agent can create links, update links, organize them with tags, manage domains, and retrieve link information on your behalf.

  • Short link creation and updates: Have your agent create a branded short link or update an existing link with the destination and settings you need.
  • Bulk link management: Direct your agent to update multiple short links at once when campaigns, destinations, or link settings change.
  • Link lookup and review: Let the agent retrieve your links and inspect the details of a specific short link.
  • Domain management: Instruct your agent to list your branded domains, add a new domain, or update an existing domain's configuration.
  • Tag and workspace organization: Have your agent create and retrieve tags for organizing links, or review details about your Dub workspace.

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:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Dub through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Dub

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["dub"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Dub MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "dub" for Dub access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Dub toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "dub-mastra-agent",
    instructions: "You are an AI agent with Dub tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

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

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        dub: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Dub toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Dub and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["dub"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      dub: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "dub-mastra-agent",
    instructions: "You are an AI agent with Dub tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { dub: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Dub through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
TOOLS

Supported Tools

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

Bulk Delete Links

Tool to delete multiple short links in bulk from Dub.

Bulk Update Links

Update multiple short links in bulk with the same changes, using link IDs or external IDs.

Create Domain

Tool to add a domain to a Dub workspace.

Create Tag

Tool to create a new tag in Dub.

Delete Domain

Tool to delete a domain from your Dub workspace.

Delete Tag

Tool to delete a tag from Dub.

Get Link Info

Tool to retrieve details of a specific short link from Dub.

Get Links

Tool to retrieve a paginated list of links for the authenticated workspace.

Get Links Count

Tool to retrieve the count of links in workspace with optional filters.

Retrieve List of Tags

Tool to retrieve a list of tags from Dub.

Get Workspace

Tool to retrieve detailed information for a specific workspace.

List Domains

Tool to retrieve a list of domains for the authenticated workspace.

Track Deep Link Open Event

Tool to track a deep link open event in Dub.

Update Domain

Tool to update a domain configuration in Dub.

Update Tag

Tool to update an existing tag by ID.

Update Workspace

Tool to update workspace settings in Dub.

Upsert a Link

Tool to create or update a short link in Dub.

FRAMEWORKS

How to build Dub MCP Agent with another framework

Claude Code logo

Claude Code

Use Dub MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Dub MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Dub MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Dub MCP with Claude Agent SDK

Grok Bot logo

Grok Bot

Use Dub MCP with Grok Bot

Codex logo

Codex

Use Dub MCP with Codex

OpenClaw logo

OpenClaw

Use Dub MCP with OpenClaw

Hermes logo

Hermes

Use Dub MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Dub MCP with Atomic Agent

Google ADK logo

Google ADK

Use Dub MCP with Google ADK

LangChain logo

LangChain

Use Dub MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Dub MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Dub MCP with LlamaIndex

CrewAI logo

CrewAI

Use Dub MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Dub MCP with Pydantic AI

AutoGen logo

AutoGen

Use Dub MCP with AutoGen

FAQ

Frequently asked questions

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