How to Use the Corsizio MCP in AutoGen

Enable multi-agent debate over Corsizio data using the AutoGen framework.

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Connect Corsizio MCP to AutoGen

Create your Vinkius account to connect Corsizio 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 Corsizio with AutoGen

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Perplexity

Debate event metrics in AutoGen

Multiple agents discuss the output from `get_account_stats`. One agent focuses on revenue targets while another checks registration counts to form a consensus. This process happens through native conversation. The agents negotiate based on the live data retrieved from your events.

Audit attendees with AutoGen agents

Assign one agent to `list_attendees` and another to `get_attendee_details`. They compare these records to flag inconsistencies in your registration data. This collaborative approach identifies missing payment info or registration issues. The agents resolve the discrepancies before reporting back to you.

Negotiate location and instructor data

Your agents use `list_locations` and `list_instructors` to plan event logistics. They challenge each other on capacity limits and teacher availability to reach a final decision. This ensures every event constraint is satisfied. The agents rely on the tools to verify physical addresses and instructor specialties.

Setup guide

Set up Corsizio 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 Corsizio 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="Corsizio_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="Corsizio_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Corsizio 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 Corsizio. 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.

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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 Corsizio MCP in AutoGen

You pass the tools directly to the AssistantAgent. The adapter handles the schema conversion so your agents can debate the data.

Yes, they hold a conversation and share the results of each tool call. They use this information to build a consensus on your account status.

The server supports both stdio and HTTP. You pick the transport that fits your local or cloud-based agent setup.

We use a hardened sandbox for all tool execution. Your data never touches the agent's persistent memory, only the current conversation state.

They handle discount codes, refund status, and event pricing. We enforce strict data boundaries to ensure your private records remain private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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