How to Use the Besitos Corp MCP in AutoGen
Deploy AutoGen agents to debate and optimize your Besitos Corp game campaigns and reward structures.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Besitos Corp MCP to AutoGen
Create your Vinkius account to connect Besitos Corp 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.
Let AutoGen agents optimize Besitos Corp offers
The `list_offers` tool provides the raw Besitos Corp reward milestone data that your AutoGen agents use during their negotiation cycles. A marketing AutoGen agent and a finance AutoGen agent discuss these Besitos Corp milestones to balance player retention against budget constraints. Once the AutoGen agents agree on a target threshold, they call `get_offer` to verify the technical details of the Besitos Corp reward. This conversational consensus ensures your AutoGen workflow never launches a Besitos Corp campaign that loses money.
Resolve gaming performance issues using this MCP Server
The `list_games` tool delivers the full list of active Besitos Corp titles to your AutoGen agent cluster. When Besitos Corp performance drops, a diagnostic AutoGen agent queries this list to isolate the problem. The diagnostic AutoGen agent then calls `get_game` to fetch specific game parameters, presenting them to a supervisor AutoGen agent to analyze Besitos Corp performance. They debate the cause of the drop and decide whether to adjust the active Besitos Corp rewards within the AutoGen group.
Debate monetization strategies with AutoGen and Besitos Corp
The `get_revenue_report` tool feeds live Besitos Corp monetization metrics directly into your AutoGen debate loop. A performance AutoGen agent pushes for higher payouts while a risk AutoGen agent flags potential Besitos Corp losses. By evaluating this Besitos Corp data alongside `get_engagement_report`, the AutoGen agents negotiate the optimal balance between player activity and net profit. The final agreed Besitos Corp action is executed only after both AutoGen agents sign off.
Set up Besitos Corp 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Besitos Corp tools and returns structured results.
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="Besitos Corp_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Besitos Corp data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Besitos Corp_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Besitos Corp data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Besitos Corp. 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 Besitos Corp MCP in AutoGen
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