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

Q: How do I connect the Epic Online Services & Social Analytics server to Vercel AI SDK?

Install @ai-sdk/mcp. Initialize the connection using createMCPClient({ transport: { type: "http", url: "..." } }). Pass the resulting tools to streamText so your agent can query Epic's backend.

Q: Can I stream player stats from Epic Online Services & Social Analytics to a Next.js frontend?

Yes. The MCP Server feeds data from getplayerachievements directly into the Vercel AI SDK pipeline. Your React components render the progress bars as the agent streams the response.

Q: How do I handle authentication for Epic accounts?

You pass your OAuth tokens through the authProvider configuration. The Vinkius managed infrastructure handles the secure handshake with Epic Games.

Build live Epic Games social dashboards where player profiles stream directly into your React UI using Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Epic Online Services & Social Analytics MCP to Vercel AI SDK

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

GDPR Free for Subscribers

Setup Epic Online Services & Social Analytics with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream friend lists to Vercel AI SDK

`get_friend_list` and `get_player_presence` pull real-time connections directly into your Edge Functions. You pass the MCP tools to `streamText`, and the client renders online status indicators as the AI processes the raw Epic backend data. Your Next.js app doesn't wait for a massive JSON payload to finish downloading. As the agent cross-references a display name via `search_account_by_display_name`, the UI updates instantly. Users watch the graph build itself.

Real-time competitive data pipelines

`get_game_leaderboard` fetches exact ranking metrics while your AI client formats them for presentation. You wire this up to a Vue or Svelte frontend where the agent compares an active player against the top 100 competitors. The agent checks `get_player_achievements` and `get_achievement_definitions` simultaneously. It streams a breakdown of missing trophies directly to the user's browser. No manual polling required.

Edge-based player moderation

`get_blocked_users` exposes a player's block list to your agent during matchmaking or chat resolution queries. The AI evaluates who the player refuses to interact with before suggesting new lobbies. Calling `get_account_details` gives the agent the baseline profile data it needs to verify account age and standing. You handle the auth via Vercel's `authProvider`, and the MCP Server handles the Epic API routing.

Setup guide

Set up Epic Online Services & Social Analytics MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Epic Online Services & Social Analytics tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Epic Online Services & Social Analytics transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Epic Online Services & Social Analytics now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

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

Install `@ai-sdk/mcp`. Initialize the connection using `createMCPClient({ transport: { type: "http", url: "..." } })`. Pass the resulting tools to `streamText` so your agent can query Epic's backend.

Yes. The MCP Server feeds data from `get_player_achievements` directly into the Vercel AI SDK pipeline. Your React components render the progress bars as the agent streams the response.

It runs perfectly on the Edge. You just need to ensure you call `mcpClient.close()` when the stream finishes to prevent memory leaks in your serverless environment.

You pass your OAuth tokens through the `authProvider` configuration. The Vinkius managed infrastructure handles the secure handshake with Epic Games.

The server processes raw Epic account IDs and block lists. Vinkius runs this in an ephemeral V8 Isolate Sandbox. The container spins up for the exact duration of your query and destroys itself immediately after returning the payload.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript