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

Q: Can LangChain use Epic Online Services & Social Analytics to check friend status?

Yes. You chain getfriendlist with getplayerpresence. The agent iterates through the list to report who is currently active.

Q: How do I map achievement data using Epic Online Services & Social Analytics in LangChain?

Pass the output of getachievementdefinitions as context to your agent. Then call getplayerachievements to compare the sets.

Q: Does Epic Online Services & Social Analytics work with LangChain for leaderboard lookups?

It does. You execute getgameleaderboard as a tool call within your chain. The agent then processes the ranking data for your specific needs.

Build complex reasoning chains with Epic Online Services & Social Analytics in LangChain.

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Connect Epic Online Services & Social Analytics MCP to LangChain

Create your Vinkius account to connect Epic Online Services & Social Analytics 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 Online Services & Social Analytics with LangChain

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Perplexity

Chain social data with LangChain

Feed `get_friend_list` results directly into your agent logic. Your chains can now evaluate player connectivity without manual intervention. Logic flows from `get_account_details` into downstream processing. You define the sequence where the agent makes decisions based on real-time social status.

Automate achievement tracking

Trigger `get_player_achievements` and compare them against `get_achievement_definitions`. This lets your agent calculate completion percentages in a single pass. Input definitions into your pipeline to establish baselines. The agent identifies gaps between current progress and total game goals.

Search and verify player identities

Use `search_account_by_display_name` to resolve IDs for your agent. This eliminates the guesswork when identifying specific users in your chains. Pass these IDs to `get_player_presence` to check activity. You get accurate status data to drive your agent's next move.

Setup guide

Set up Epic Online Services & Social Analytics 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 Online Services & Social Analytics 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-online-services-social-analytics-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 Online Services & Social Analytics 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 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 LangChain

Yes. You chain `get_friend_list` with `get_player_presence`. The agent iterates through the list to report who is currently active.

Pass the output of `get_achievement_definitions` as context to your agent. Then call `get_player_achievements` to compare the sets.

It does. You execute `get_game_leaderboard` as a tool call within your chain. The agent then processes the ranking data for your specific needs.

This MCP server transmits raw JSON responses from the Epic backend directly to your agent. No data is stored on our servers.

The server uses endpoint tokens to authorize requests. Your API interactions remain isolated within your local environment.

Use it with your favorite AI tools

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

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