How to Use the Mod.io MCP in OpenAI Agents SDK
Manage game mods and subscriptions directly within your OpenAI Agents SDK production pipeline.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mod.io MCP to OpenAI Agents SDK
Create your Vinkius account to connect Mod.io to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automated mod discovery and subscription
Your agent queries the entire game catalog using `get_games` to find titles. Once a game is identified, it lists available content via `get_mods`. Everything happens in your production environment. The agent triggers `subscribe_mod` to keep local environments in sync with user preferences.
Validate mod interactions via OpenAI Agents SDK
Use `get_mod` to pull metadata before any action. This ensures your agent only touches verified mod files. Safety is non-negotiable here. The SDK validates every response from the MCP server, preventing malformed data from hitting your core logic.
Handle collections and ratings programmatically
Organize your library by calling `add_collection` for specific game titles. It groups assets logically for your end-users. Feedback loops are built right in. Your agent invokes `rate_mod` based on performance metrics or user input to keep the community data fresh.
Set up Mod.io MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Mod.io tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Mod.io tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Mod.io tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Mod.io Agent",
instructions="You have access to Mod.io tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main())Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mod.io. 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.
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 Mod.io MCP in OpenAI Agents SDK
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