How to Use the MobyGames MCP in OpenAI Agents SDK
Feed raw gaming metadata directly to your OpenAI Agents SDK workflows without writing custom scrapers or hitting rate-limit blocks.
Works with every AI agent you already use
…and any MCP-compatible client
Connect MobyGames MCP to OpenAI Agents SDK
Create your Vinkius account to connect MobyGames 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.
Map gaming history using the MobyGames MCP Server
The `search_games` tool lets your agent query the database for titles, platforms, and release years. Your agent instantly matches fuzzy user queries against exact historical records without getting blocked by typical web scraping hurdles. Once your agent finds a match, it invokes `get_game_by_id` to pull deep metadata like genres, publishers, and MobyScores. This keeps your agent's context window clean because it only requests the precise game ID it needs instead of dumping massive search payloads.
Trace developer credits with OpenAI Agents SDK
The `get_game_credits` tool extracts names, roles, and departments for any game in the database. Your agent uses this tool to trace industry lineage, mapping which developers worked on specific legacy titles. By combining this with `get_developers`, your agent can check developer profiles and their total game counts. This lets you build agent handoffs where one agent finds the game and another maps the entire development team's history.
Filter platforms and reviews dynamically
The `get_platforms` and `get_genres` tools provide the exact IDs your agent needs to filter search requests. This prevents your agent from guessing platform names or sending invalid search parameters that crash your pipeline. Your agent can then call `get_reviews` to analyze historical sentiment or extract review scores for specific titles. Because the OpenAI Agents SDK validates these MCP tool calls against your schema, you get clean, structured reviews without raw HTML parsing.
Set up MobyGames 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 MobyGames tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives MobyGames tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate MobyGames 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="MobyGames Agent",
instructions="You have access to MobyGames 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 MobyGames. 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 MobyGames MCP in OpenAI Agents SDK
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