How to Use the Epic Online Services & Social Analytics MCP in Mastra AI

Q: How do I configure Mastra AI to use the Epic Online Services & Social Analytics server?

Initialize the connection with new MCPClient({ id: "epic", servers: { name: { url: new URL("...") } } }). Call listTools() and spread them directly into your agent's toolkit.

Q: How do I require human approval for fetching sensitive Epic player data?

Set the requireToolApproval parameter on your agent configuration. The workflow will pause before executing getblockedusers, waiting for manual authorization.

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Connect Epic Online Services & Social Analytics MCP to Mastra AI

Create your Vinkius account to connect Epic Online Services & Social Analytics to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Epic Online Services & Social Analytics with Mastra AI

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Conditional player tracking with Mastra AI

`search_account_by_display_name` starts the workflow by isolating the target Epic account ID. If the Epic API rate limits the request, Mastra's built-in exponential backoff catches the failure and retries automatically. You never write custom retry logic. Once the ID resolves, the workflow branches. The agent calls `get_player_presence` to check online status. If the player is in-game, the system pauses execution; if offline, it proceeds to fetch historical data.

Multi-step progression analysis

`get_achievement_definitions` maps out the total possible trophy space for a specific game. The agent then pulls `get_player_achievements` to compare actual progress against the baseline. You can deploy this entire analysis pipeline to any cloud provider with one command. The MCP Server handles the data extraction, while your Mastra agent formats the output into a structured JSON report for your database.

Human-in-the-loop moderation

`get_blocked_users` and `get_account_details` provide the necessary context for reviewing a reported player. The agent compiles the block list and profile history into a single dossier. Before taking action, you can use Mastra's `requireToolApproval` flag. The workflow halts and waits for a human administrator to review the agent's findings. Once approved, the pipeline resumes.

Setup guide

Set up Epic Online Services & Social Analytics MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Epic Online Services & Social Analytics tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "epic-online-services-social-analytics-mcp-client",
  servers: {
    "epic-online-services-social-analytics-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Epic Online Services & Social Analytics Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Epic Online Services & Social Analytics tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Epic Online Services & Social Analytics transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Epic Online Services. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Epic Online Services & Social Analytics MCP in Mastra AI

Initialize the connection with `new MCPClient({ id: "epic", servers: { name: { url: new URL("...") } } })`. Call `listTools()` and spread them directly into your agent's toolkit.

The framework automatically applies exponential backoff to any failed API calls. If the MCP Server returns a 429 from Epic, the workflow pauses and tries again without crashing.

Set the `requireToolApproval` parameter on your agent configuration. The workflow will pause before executing `get_blocked_users`, waiting for manual authorization.

Yes. Mastra natively recognizes whether Vinkius is providing Streamable HTTP or SSE for the connection. You just pass the endpoint URL.

The workflow touches sensitive friend graphs and exact online presence timestamps. We enforce a zero-trust architecture where the MCP connection requires a single-use endpoint token, ensuring no data persists outside your execution environment.

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