# How to integrate Piggy MCP with Mastra AI

```json
{
  "title": "How to integrate Piggy MCP with Mastra AI",
  "toolkit": "Piggy",
  "toolkit_slug": "piggy",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/piggy/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/piggy/framework/mastra-ai.md",
  "updated_at": "2026-05-12T10:21:56.571Z"
}
```

## Introduction

This guide walks you through connecting Piggy to Mastra AI using the Composio tool router. By the end, you'll have a working Piggy agent that can check your current piggy loyalty points, redeem points for a store discount, list recent cashback transactions through natural language commands.
This guide will help you understand how to give your Mastra AI agent real control over a Piggy account through Composio's Piggy MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Piggy with

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

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

The Piggy MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Piggy account. It provides structured and secure access to your loyalty and rewards programs, so your agent can perform actions like managing customer points, handling cashback offers, updating loyalty rewards, and analyzing user engagement on your behalf.
- Customer points management: Let your agent track, update, and redeem customer loyalty points across your online store.
- Automated cashback processing: Enable your agent to issue, adjust, or report cashback rewards to users as part of promotional campaigns.
- Loyalty reward configuration: Allow your agent to set up, modify, or deactivate loyalty program rewards to keep your offers fresh and competitive.
- User engagement analytics: Have your agent analyze program participation to help identify top customers and optimize retention strategies.
- Discount and offer management: Let your agent create or update custom discounts and promotional offers linked to your loyalty program.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PIGGY_CLAIM_ANONYMOUS_CONTACT` | Claim Anonymous Contact | Tool to claim an anonymous contact by associating it with a real email address. Use when converting an anonymous contact (with a fictional email) into a verified contact with a real email address. |
| `PIGGY_CREATE_CONTACT_ATTRIBUTE` | Create Contact Attribute | Tool to create a custom Contact Attribute. Use when you need to define new fields for contacts after initial setup. |
| `PIGGY_CREATE_CREDIT_RECEPTION` | Create Credit Reception | Tool to create a credit reception for a contact. Use when awarding credits to customers based on purchases or fixed amounts. |
| `PIGGY_CREATE_VOUCHERS_BATCH` | Create Vouchers Batch | Tool to create a batch of vouchers for a promotion. Use when you need to generate multiple vouchers at once for a specific promotion. Batch processing is asynchronous and returns a PENDING status initially. |
| `PIGGY_FIND_OR_CREATE_PRODUCTS` | Find or Create Products | Tool to find an existing product by external_identifier or create a new one if it doesn't exist. Use when you need to ensure a product exists in Piggy's system for loyalty programs or rewards. |
| `PIGGY_FIND_VOUCHER_BY_CODE` | Find Voucher By Code | Tool to find a voucher by its unique code. Use when you need to retrieve voucher details, check redemption status, or validate a voucher code. |
| `PIGGY_GET_CONTACT_AUTH_TOKEN` | Get Contact Auth Token | Tool to get an auth token for a Contact. Use after obtaining a Contact UUID and needing to verify identity for secure operations. |
| `PIGGY_GET_CONTACTS_CREDIT_BALANCE` | Get Contact's Credit Balance | Tool to get a Contact's credit balance. Use when you need to check a contact's current credit balance before processing rewards or promotions. |
| `PIGGY_LIST_FORMS` | List Forms | Tool to list all forms in the Piggy account. Use when you need to retrieve available forms for customer interactions. |
| `PIGGY_LIST_PERKS` | List Perks | Tool to list all available perks in Piggy. Use when you need to retrieve the catalog of perks that can be associated with contacts or transactions. |
| `PIGGY_MERGE_CONTACTS` | Merge Contacts | Merges a source contact into a destination contact in Piggy's CRM. The source contact's data (attributes, balances, transactions) is transferred to the destination contact, and the source contact is removed. This operation is irreversible and processed asynchronously via a job queue. Use this when consolidating duplicate customer records. |
| `PIGGY_SEND_CONTACT_VERIFICATION_EMAIL` | Send Contact Verification Email | Send a verification email to a Piggy contact for identity verification. The contact must exist in the system with a configured Contacts Portal. Returns success message with email sent confirmation. Use this when implementing email-based authentication workflows or when contacts need to verify their email address to access the Contacts Portal. |
| `PIGGY_UPDATE_BOOKINGS` | Update Bookings | Tool to update an existing booking in Piggy. Use when you need to modify booking details such as party size, status, or company name. Note: Shop and contact cannot be updated after creation. |
| `PIGGY_UPDATE_CONTACT_IDENTIFIERS` | Update Contact Identifiers | Tool to update a contact identifier in Piggy. Use when you need to modify the display name or active state of an existing contact identifier. Only the name and active properties can be updated; the identifier value itself cannot be changed. |

## Supported Triggers

None listed.

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

The Piggy MCP server is an implementation of the Model Context Protocol that connects your AI agent to Piggy. It provides structured and secure access so your agent can perform Piggy 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:
- Node.js 18 or higher
- A Composio account with an active API key
- An OpenAI API key
- Basic familiarity with 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 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.
- This key lets your Mastra agent talk to Composio and reach Piggy through MCP.

### 2. Install dependencies

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

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import libraries and validate environment

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
```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,
});
```

### 5. Create a Tool Router session for Piggy

What's happening:
- create spins up a short-lived MCP HTTP endpoint for this user
- The toolkits array contains "piggy" for Piggy access
- session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
```typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["piggy"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Piggy MCP URL:", composioMCPUrl);
```

### 6. Configure Mastra MCP client and fetch tools

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 Piggy toolkit
```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);
```

### 7. Create the Mastra agent

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

### 8. Set up interactive chat interface

What's happening:
- messages keeps the full conversation history in Mastra's expected format
- agent.generate runs the agent with conversation history and Piggy 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
```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: {
        piggy: 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);
});
```

## Complete Code

```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: ["piggy"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "piggy-mastra-agent",
    instructions: "You are an AI agent with Piggy 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: { piggy: 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 Piggy 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 Piggy MCP Agent with another framework

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

## Related Toolkits

- [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.
- [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages.
- [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections.
- [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.
- [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease.
- [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic.
- [Amcards](https://composio.dev/toolkits/amcards) - AMCards lets you create and mail personalized greeting cards online. Build stronger customer relationships with easy, automated card campaigns.
- [Beamer](https://composio.dev/toolkits/beamer) - Beamer is a news and changelog platform for in-app announcements and feature updates. It helps companies boost user engagement by sharing news where users are most active.
- [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place.
- [Bigmailer](https://composio.dev/toolkits/bigmailer) - BigMailer is an email marketing platform for managing multiple brands with white-labeling and automation. It helps teams streamline campaigns and simplify integration with Amazon SES.
- [Brandfetch](https://composio.dev/toolkits/brandfetch) - Brandfetch is an API that delivers company logos, colors, and visual branding assets. It helps marketers and developers keep brand visuals consistent everywhere.
- [Brevo](https://composio.dev/toolkits/brevo) - Brevo is an all-in-one email and SMS marketing platform for transactional messaging, automation, and CRM. It helps businesses engage customers and streamline communications through powerful campaign tools.
- [Campayn](https://composio.dev/toolkits/campayn) - Campayn is an email marketing platform for creating, sending, and managing campaigns. It helps businesses engage contacts and grow audiences with easy-to-use tools.
- [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes.
- [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management.
- [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals.
- [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams.
- [Customerio](https://composio.dev/toolkits/customerio) - Customer.io is a customer engagement platform for targeted messaging across email, SMS, and push. Easily automate, segment, and track communications with your audience.
- [Cutt ly](https://composio.dev/toolkits/cutt_ly) - Cutt.ly is a URL shortening service for managing and analyzing links. Streamline your workflows with quick, trackable, and branded short URLs.
- [Demio](https://composio.dev/toolkits/demio) - Demio is webinar software built for marketers, offering both live and automated sessions with interactive features. It helps teams engage audiences and optimize lead generation through detailed analytics.

## Frequently Asked Questions

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

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

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

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

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