How to integrate ReferralRock MCP with Mastra AI

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Introduction

This guide walks you through connecting ReferralRock to Mastra AI using the Composio tool router. By the end, you'll have a working ReferralRock agent that can list all active referral campaigns, add a new member to referral program, show referral stats for this week through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a ReferralRock account through Composio's ReferralRock MCP server.

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

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 ReferralRock tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch ReferralRock 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 ReferralRock 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 ReferralRock MCP server, and what's possible with it?

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

Supported Tools & Triggers

Tools
Remove Email from Unsubscribe ListTool to remove an email address from the unsubscribe list.
Delete WebhookTool to delete a webhook subscription.
Delete Members from ProgramTool to delete members from a referral program.
Delete ReferralTool to delete one or more referrals from a referral program.
Delete RewardsTool to delete rewards from members or referrals in a referral program.
Get Email Unsubscribed StatusTool to check if an email address is unsubscribed from communications.
Get Webhook History for EventTool to retrieve webhook history for a specific event.
List Program MembersTool to list program members with filtering and pagination.
Get Member StatisticsTool to retrieve comprehensive statistics for a single member from ReferralRock.
Get PayoutTool to retrieve payout list by ID.
Get Payout Details by IDTool to get payout details by ID.
Get Pending PayoutsTool to get pending payouts for a member or recipient.
Get Payout TransactionsTool to get payout transaction history for referral program participants.
Get Single ProgramTool to retrieve a single referral program by name.
List Referral ProgramsList all referral programs in ReferralRock.
Get ReferralsTool to list referrals with filtering and pagination options.
Get Single ReferralTool to retrieve a single referral by email, ID, or external ID.
Get Reward RulesTool to get reward rules for a program.
Get RewardsTool to list rewards with optional filtering and pagination.
Remove Email from Unsubscribe ListTool to remove an email address from the unsubscribe list.
Unsubscribe Email AddressTool to unsubscribe an email address from the ReferralRock mailing list.
Create Webhook SubscriptionTool to create or update a webhook subscription for event notifications.
Create Invite Feed EntryTool to create an invite feed entry for automatic invitations.
Create Invite Feed EntriesTool to create multiple invite feed entries for automatic invites in ReferralRock.
Generate Member Access TokenTool to generate pre-authenticated member access URLs for sharing and portal experiences.
Generate Member Access URLsTool to generate member access URLs for custom share experience or secure portal embedding.
Add new member to programTool to create a new member and add them to a referral program.
Remove Members from ProgramTool to remove members from a referral program.
Create Referral ActionTool to create a referral action for processing recurring rewards.
Remove ReferralTool to remove referrals from a referral program.
Create New ReferralTool to create a new referral in ReferralRock based on a member's referral code.
Update Referral StatusTool to update referral status in ReferralRock.
Update Referral DetailsTool to update referral details in a referral program.
Issue Reward to MemberTool to issue a reward to a member in the Referral Rock system.
Remove RewardsTool to remove rewards from members or referrals of a referral program.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

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

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 ReferralRock through MCP.

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

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

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

Create a Tool Router session for ReferralRock

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

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

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 ReferralRock toolkit

Create the Mastra agent

typescript
const agent = new Agent({
    name: "referralrock-mastra-agent",
    instructions: "You are an AI agent with ReferralRock 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

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: {
        referralrock: 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 ReferralRock 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 ReferralRock 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: ["referralrock"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "referralrock-mastra-agent",
    instructions: "You are an AI agent with ReferralRock 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: { referralrock: 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 ReferralRock 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

How to build ReferralRock MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use ReferralRock MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use ReferralRock MCP with Claude Agent SDK

Google ADK

Google ADK

Use ReferralRock MCP with Google ADK

LangChain

LangChain

Use ReferralRock MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use ReferralRock MCP with Vercel AI SDK

LlamaIndex

LlamaIndex

Use ReferralRock MCP with LlamaIndex

CrewAI

CrewAI

Use ReferralRock MCP with CrewAI

Claude Code

Claude Code

Use ReferralRock MCP with Claude Code

Codex

Codex

Use ReferralRock MCP with Codex

FAQ

What are the differences in Tool Router MCP and ReferralRock MCP?

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

Can I use Tool Router MCP with Mastra AI?

Yes, you can. Mastra AI 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 ReferralRock tools.

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

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

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