How to Use the CheapShark MCP in OpenAI Agents SDK

Q: How can my OpenAI Agent search for game deals using CheapShark?

Your agent calls the searchgames tool with a title. The OpenAI Agents SDK then executes the call against this MCP Server, returning a list of matching games and their best prices from CheapShark.

Q: Can an agent built with the OpenAI Agents SDK manage CheapShark price alerts?

Yes, it uses the managealert tool. Your agent can set, delete, or view alerts by providing an email address and a game ID to the CheapShark MCP Server.

Q: What's the best way to set up the CheapShark MCP Server with the OpenAI Agents SDK?

Just pip install openai-agents and instantiate MCPServerStreamableHttp with your Vinkius URL. Pass it to your Agent constructor in the mcpservers list, and the tools are discovered automatically.

Build production agents with the OpenAI Agents SDK that find game deals and manage price alerts from CheapShark.

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Connect CheapShark MCP to OpenAI Agents SDK

Create your Vinkius account to connect CheapShark 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.

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Setup CheapShark with OpenAI Agents SDK

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Find Game Deals with Validated Actions

Your agent can use `get_deals` to pull current sales or `search_games` to find a specific title. The SDK's built-in guardrails validate the agent's plan before it ever calls the tool. This means bad requests—like searching with an invalid parameter—are caught before they hit the CheapShark server. It gives you a layer of control that's critical for production systems.

Automate Alerts with Specialized Agents

Let your agent set price drop notifications using the `manage_alert` tool. You can build specialized agents for different tasks: one for searching, another for managing alerts. The OpenAI SDK's handoff feature lets one agent pass context, like a game ID, to another. You get full visibility into these interactions through the OpenAI tracing dashboard.

Your OpenAI Agent Discovers This MCP Server Automatically

This MCP Server exposes tools like `get_game` for deep dives on a specific title and `get_stores` for mapping store IDs. Your agent finds them with zero manual configuration. Just pass the server endpoint to the Agent constructor. For better performance in production, set `cacheToolsList=True` so your agent doesn't have to re-discover the tools on every run.

Setup guide

Set up CheapShark MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all CheapShark tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives CheapShark tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate CheapShark tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="CheapShark Agent",
            instructions="You have access to CheapShark tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about CheapShark MCP in OpenAI Agents SDK

Your agent calls the `search_games` tool with a title. The OpenAI Agents SDK then executes the call against this MCP Server, returning a list of matching games and their best prices from CheapShark.

Yes, it uses the `manage_alert` tool. Your agent can set, delete, or view alerts by providing an email address and a game ID to the CheapShark MCP Server.

Just `pip install openai-agents` and instantiate `MCPServerStreamableHttp` with your Vinkius URL. Pass it to your `Agent` constructor in the `mcp_servers` list, and the tools are discovered automatically.

Your agent gets deals from all stores tracked by CheapShark. You can use the `get_stores` tool to get a full list of these stores and their IDs.

Your agent handles game titles, deal information, and store IDs. If you use the alert tool, it also handles the email address you provide. All communication is routed through Vinkius's ephemeral, zero-trust infrastructure, and your endpoint token handles authentication.

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