How do I get an Epic Client ID and Secret?

You must create a developer account at [dev.epicgames.com](https://dev.epicgames.com/), set up an organization and a product, and generate credentials in the 'Product Settings' section.

Epic Games EOS MCP Server for LlamaIndex 3 tools — connect in under 2 minutes

Name: Epic Games EOS
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 3 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Epic Games EOS as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Epic Games EOS. "
            "You have 3 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Epic Games EOS?"
    )
    print(response)

asyncio.run(main())

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About Epic Games EOS MCP Server

Integrate your AI agent with Epic Online Services (EOS), the high-performance backend powering some of the world's biggest games. This server allows you to interact with the Epic Games ecosystem through natural language.

LlamaIndex agents combine Epic Games EOS tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Account Lookup — Get public metadata and display names for Epic Account IDs
Social Integration — Retrieve friend lists and manage social connections within the EOS framework
Ecosystem Search — Explore products and services available across Epic's sandboxes and deployments
Cross-Platform Identity — Verify external authentication links (Steam, Xbox, PlayStation) associated with Epic accounts

The Epic Games EOS MCP Server exposes 3 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Epic Games EOS to LlamaIndex via MCP

Follow these steps to integrate the Epic Games EOS MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 3 tools from Epic Games EOS

Why Use LlamaIndex with the Epic Games EOS MCP Server

LlamaIndex provides unique advantages when paired with Epic Games EOS through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Epic Games EOS tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Epic Games EOS tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Epic Games EOS, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Epic Games EOS tools were called, what data was returned, and how it influenced the final answer

Epic Games EOS + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Epic Games EOS MCP Server delivers measurable value.

Hybrid search: combine Epic Games EOS real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Epic Games EOS to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Epic Games EOS for fresh data

Analytical workflows: chain Epic Games EOS queries with LlamaIndex's data connectors to build multi-source analytical reports

Epic Games EOS MCP Tools for LlamaIndex (3)

These 3 tools become available when you connect Epic Games EOS to LlamaIndex via MCP:

get_account_info

Retrieve public account information for one or more Epic Account IDs

get_friends_list

Retrieve the friends list for a specific Epic account

search_store_catalog

Search the Epic Games Store catalog (Note: Requires valid Sandbox/Deployment IDs)

Example Prompts for Epic Games EOS in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Epic Games EOS immediately.

"Get account info for Epic ID '0123456789abcdef'."

Troubleshooting Epic Games EOS MCP Server with LlamaIndex

Common issues when connecting Epic Games EOS to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Epic Games EOS + LlamaIndex FAQ

Common questions about integrating Epic Games EOS MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Epic Games EOS tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.