How to Use the Epic Games EOS MCP in LangChain

Chain your Epic Games EOS data directly into LangChain pipelines for automated social and catalog workflows.

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Connect Epic Games EOS MCP to LangChain

Create your Vinkius account to connect Epic Games EOS to LangChain 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 Games EOS with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain Epic Games EOS account lookups

Feed your agent account IDs to trigger `get_account_info` automatically. The output flows straight into your next chain link without manual intervention. This setup works best when you need to verify identity before hitting other services. It keeps your agent logic clean and focused.

Sync friends list within LangChain agents

Use `get_friends_list` to pull player data into your agent's memory. You can then use this data to populate dynamic social graphs or context-aware responses. Agent loops handle the pagination and parsing for you. It's a quick way to keep your social data fresh during long-running tasks.

Automated Epic Games EOS catalog queries

Trigger `search_store_catalog` to pull pricing or availability details during a reasoning step. Your agent decides when to pull this data based on your prompt. This removes the need for constant polling. You only query the store when the agent determines it's necessary for the current task.

Setup guide

Set up Epic Games EOS MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Epic Games EOS tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "epic-games-eos-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Epic Games EOS transactions"
    })
    print(result["messages"][-1].content)

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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 Games EOS. 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

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Real-time monitoring

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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 Games EOS MCP in LangChain

Yes, you can. You just pass the tool to your agent and let it handle the search calls based on your instructions.

You provide an endpoint token to the server. The connection remains secure through the Vinkius managed environment.

It does. You can aggregate tools from several servers into a single agent for complex workflows.

The server only touches your account identifiers and public store metadata. It doesn't store your sensitive credentials permanently.

Use LangSmith to see exactly what inputs and outputs pass through the tools. It gives you full visibility into the agent's logic.

Use it with your favorite AI tools

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

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Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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