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 Google ADK 3 tools — connect in under 2 minutes

Name: Epic Games EOS
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 3 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Epic Games EOS as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="epic_games_eos_agent",
    instruction=(
        "You help users interact with Epic Games EOS "
        "using 3 available tools."
    ),
    tools=[mcp_tools],
)

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<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

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.

Google ADK natively supports Epic Games EOS as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 3 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

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

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 3 tools from Epic Games EOS via MCP

Why Use Google ADK with the Epic Games EOS MCP Server

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

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Epic Games EOS

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Epic Games EOS tools with BigQuery, Vertex AI, and Cloud Functions

Epic Games EOS + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Epic Games EOS and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Epic Games EOS tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Epic Games EOS regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Epic Games EOS

Epic Games EOS MCP Tools for Google ADK (3)

These 3 tools become available when you connect Epic Games EOS to Google ADK 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 Google ADK

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

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

Troubleshooting Epic Games EOS MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Epic Games EOS + Google ADK FAQ

Common questions about integrating Epic Games EOS MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.