How to integrate Epic games MCP with Mastra AI

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Introduction

This guide walks you through connecting Epic games to Mastra AI using the Composio tool router. By the end, you'll have a working Epic games agent that can list your recently purchased epic games titles, show current fortnite store offers, check your unreal engine license details through natural language commands.

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

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

Also integrate Epic games with

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

The Epic games MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Epic games account. It provides structured and secure access to your Epic Games platform, so your agent can perform actions like accessing your game library, tracking new releases, viewing purchase history, and managing your account details on your behalf.

  • Game library insights: Let your agent retrieve and summarize information about your owned and recently played games.
  • Store browsing and recommendations: Have the agent help you discover new games, sales, and curated recommendations from the Epic Games Store.
  • Purchase history overview: Get quick reports on your past purchases, including receipts and downloadable content.
  • Account management assistance: Allow your agent to help update profile details, privacy settings, or linked accounts for a streamlined experience.
  • Stay up-to-date on releases: Ask the agent to notify you about upcoming game launches, updates, or major events within the Epic Games ecosystem.

Supported Tools & Triggers

Tools
Delete Preset Metadata KeyTool to delete a metadata key-value pair associated with a Remote Control Preset.
Get Island MetadataTool to fetch metadata for a specific Fortnite island by its code.
Get Island Average Minutes per PlayerTool to retrieve average minutes per unique player for a given island code and interval.
Get Island Favorites MetricsTool to fetch how many times an island was added to favorites over a time interval.
Get Island Metrics by IntervalTool to retrieve usage metrics for a Fortnite island aggregated by interval.
Get Island Minutes PlayedTool to retrieve total minutes played on an island during a given interval.
Get Island Peak CCUTool to retrieve peak concurrent users for an island.
Get Island PlaysTool to retrieve the number of plays (session starts) for a Fortnite island.
Get Island RecommendationsTool to retrieve the count of player recommendations for an island.
Get Island RetentionTool to retrieve day-over-day retention metrics for a Fortnite island.
Get Island Unique PlayersTool to retrieve the number of unique players who played an island over a specific interval.
Get Remote Control PresetTool to get details for a specific Remote Control Preset by name.
Get Preset MetadataTool to retrieve all metadata entries associated with a preset.
Get Preset Metadata KeyTool to read a single metadata key's value for a Remote Control Preset.
Get Preset PropertyTool to read the value(s) of a property exposed through a Remote Control Preset.
List Blueprint-Callable FunctionsTool to list blueprint-callable functions on a UObject.
List Fortnite IslandsTool to list public discoverable Fortnite islands sorted by newest releases first.
Remote API CORS PreflightTool to perform a CORS preflight OPTIONS request to the Remote Control API.
Call UObject Blueprint FunctionTool to invoke a Blueprint-callable function on an in-memory UObject.
Describe a UObjectTool to describe a UObject.
Wait for UObject Event (Experimental)Tool to block until the next specified UObject event occurs.
Put UObject PropertyTool to read or set a UObject's property values.
Get Object ThumbnailTool to fetch the Content Browser thumbnail image for a specified asset.
Invoke Preset FunctionTool to invoke a function in a Remote Control Preset.
Put Preset Metadata KeyTool to create or update a metadata key on a Remote Control Preset.
Update Preset PropertyTool to update a property exposed through a Remote Control Preset.
Batch Remote Control RequestsTool to batch multiple Remote Control API calls into a single request.
Initiate Remote Control SessionTool to initiate a Remote Control session.

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

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 Epic games 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 Epic games

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

  const composioMCPUrl = session.mcp.url;
  console.log("Epic games MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "epic_games" for Epic games 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 Epic games toolkit

Create the Mastra agent

typescript
const agent = new Agent({
    name: "epic_games-mastra-agent",
    instructions: "You are an AI agent with Epic games 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: {
        epic_games: 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 Epic games 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 Epic games 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: ["epic_games"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "epic_games-mastra-agent",
    instructions: "You are an AI agent with Epic games 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: { epic_games: 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 Epic games 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

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FAQ

What are the differences in Tool Router MCP and Epic games MCP?

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

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

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

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