How to Use the FreeToGame MCP in AutoGen

Enable multi-agent debate using FreeToGame data with the AutoGen framework.

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Connect FreeToGame MCP to AutoGen

Create your Vinkius account to connect FreeToGame to AutoGen 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 FreeToGame with AutoGen

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AutoGen agents debating game titles

Give your agents access to `list_games` so they can argue over which titles fit a user's request. One agent might prioritize high user ratings while another focuses on release dates. This leads to better decisions. The agents negotiate based on the data returned by the server, ensuring the final recommendation is solid.

Refining lists with AutoGen and FreeToGame

Agents use `filter_games` to prune the list of options during their conversation. If the initial set is too large, an agent can request a more specific filter to narrow the field. It prevents information overload. Your agents arrive at a consensus faster because they can manipulate the data stream dynamically.

Verifying requirements with AutoGen agents

Agents call `get_game` to check if a debated title matches the user's hardware. They can reject a game collectively if the system requirements don't align with the user's setup. It acts as an automated quality control layer. You get a recommendation that has been vetted by multiple agents against real technical specs.

Setup guide

Set up FreeToGame MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes FreeToGame tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="FreeToGame_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent FreeToGame data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="FreeToGame_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent FreeToGame data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FreeToGame. 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 FreeToGame MCP in AutoGen

You pass the tool adapter directly into your AssistantAgent constructor. This allows all agents in your conversation group to invoke the tools as needed.

They certainly can. That is the point of the multi-agent setup, as they challenge each other to find the best game based on the provided API data.

Use the streamable HTTP transport for the best performance. This ensures your agents receive data quickly during their deliberation process.

Yes, every tool call and its corresponding response are logged in the conversation history, allowing you to see exactly how agents arrived at their decision.

The server is restricted to public game metadata and technical requirements. No private information is involved, and all data exchange occurs over secure, ephemeral channels.

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