How to Use the Classe365 MCP in AutoGen

Q: How do I add Classe365 tools to AutoGen?

Install the MCP extension and use the mcpservertools function to pass the toolset to your AssistantAgent. The adapter converts the schema automatically.

Debate academic decisions in AutoGen using Classe365 tools as the source of truth.

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Connect Classe365 MCP to AutoGen

Create your Vinkius account to connect Classe365 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 Classe365 with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Multi-agent debate with Classe365

Give your agents access to `list_school_classes` so they can argue about resource allocation. Agents challenge each other based on real enrollment numbers. This prevents biased decision-making. You get a consensus built on actual records rather than vague assumptions.

Automated student record verification

Assign an agent to trigger `get_student_details` when discrepancies arise. The agents compare the retrieved data against their internal notes. It mimics a human verification process. One agent pulls the data, and another validates it against your requirements.

Negotiate academic planning in AutoGen

Use `list_exam_assessments` to provide evidence for your agents' proposals. They negotiate schedules based on actual student performance data. Your agents resolve conflicts by checking the facts. You see the full transcript of their deliberation before they finalize a plan.

Setup guide

Set up Classe365 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 Classe365 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="Classe365_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Classe365 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="Classe365_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Classe365 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 Classe365. 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 Classe365 MCP in AutoGen

Install the MCP extension and use the mcp_server_tools function to pass the toolset to your AssistantAgent. The adapter converts the schema automatically.

Yes, the agents converse and share the results of tool calls. If one agent fetches attendance records, the others can use that data in the discussion.

Vinkius manages the secure connection. Your agents only interact with the data you allow through the MCP transport layer.

It does. You can configure the server to use HTTP streams, ensuring your agents receive real-time data during their deliberations.

We isolate your student profiles behind an ephemeral sandbox. No sensitive information like attendance history is cached outside of your requested scope.

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