How to Use the AcademyOfMine MCP in AutoGen

Q: How do I configure AcademyOfMine for AutoGen?

Use mcpservertools with StreamableHttpServerParams pointing to your Vinkius URL. Pass the resulting tool list directly into your AssistantAgent constructor.

Let your AutoGen agents debate and execute AcademyOfMine enrollments automatically.

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Connect AcademyOfMine MCP to AutoGen

Create your Vinkius account to connect AcademyOfMine 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 AcademyOfMine with AutoGen

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Perplexity

Automate enrollment decisions

Sometimes adding a student to a class requires a judgment call. You spin up a compliance agent and an admissions agent to review a new application via the MCP Server. They pull the learner's history using `get_user_details` and discuss whether the prerequisites are met. Once they reach a consensus, the execution agent takes over. It fires `enroll_student` to finalize the process. If they reject the application, they might run `unenroll_student` to remove them from a waitlist instead.

Manage curriculum through consensus

Changing a syllabus usually involves three different departments arguing over email. Now your AutoGen setup does the arguing. A content agent proposes a change while a QA agent verifies it against `get_course_curriculum`. They iterate on the draft until both agree it meets your standards. Then the system pushes the final version live via `update_course`. No human intervention required.

Audit portal health with an MCP Server

System administration requires checking multiple moving parts. You assign one agent to monitor the global configuration using `get_portal_settings` while another scans the active roster via `list_users`. If the security agent notices an anomaly in user permissions, it flags the issue to the admin agent. They debate the best fix, and might even trigger `create_user` to set up a test account to verify the bug.

Setup guide

Set up AcademyOfMine 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 AcademyOfMine 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="AcademyOfMine_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Use mcp_server_tools with StreamableHttpServerParams pointing to your Vinkius URL. Pass the resulting tool list directly into your AssistantAgent constructor.

Yes. One agent can draft the content while another runs create_course to build the shell. They pass the IDs back and forth during their conversation.

You do not have to write custom parsers. The McpToolAdapter automatically translates the LMS tool schemas into formats the Microsoft multi-agent framework understands.

The conversation history logs every step. You can see exactly which agent decided to call update_course and what arguments they debated before executing.

Vinkius forces all MCP traffic through a secure isolate. When your agents discuss instructor lists or portal configurations, that data exists only in ephemeral memory and vanishes completely once the execution terminates.

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