How to Use the EdApp MCP in AutoGen

Let your AutoGen agents debate how to optimize your training programs by giving them direct access to EdApp tools.

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Connect EdApp MCP to AutoGen

Create your Vinkius account to connect EdApp 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 EdApp with AutoGen

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Claude

Perplexity

Negotiate learner offboarding

Set up a security agent and a manager agent to discuss account cleanup. The security agent checks `get_course_progress_report` for inactivity, while the manager confirms the `remove_learner` call. They reach a consensus on who to prune. This prevents accidental deletions while keeping your active user list clean and up to date.

Debate training course efficiency

Put a data analyst agent and a content strategist agent to work. They use `get_catalog_statistics` to argue about which courses need a refresh based on completion rates. They converge on a plan to update the curriculum. You get a fully vetted strategy that balances engagement metrics with your L&D goals.

Collaborative admin updates

Create a team of agents that manage your admin settings. They use `get_account_info` to ensure all configurations align with current corporate standards. Agents challenge each other on policy compliance. They only execute changes when they agree the action matches your set of requirements.

Setup guide

Set up EdApp 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 EdApp 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="EdApp_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Common questions about EdApp MCP in AutoGen

Yes, you can assign different roles to agents. One agent calls `list_learners` to identify candidates, while another executes the `remove_learner` command after a final check.

They communicate through internal messages. Once one agent retrieves data from an EdApp tool, it shares that context with the other agents in the conversation.

You control the tools each agent can access. You can restrict an agent so it can only view data, while another agent has permission to modify your EdApp account.

The server only exposes the specific records your agents request. We isolate these calls so your internal training data never leaks outside the sandbox.

Every tool call happens inside the Vinkius ephemeral environment. Your learner details and progress logs are processed in memory and never written to persistent logs.

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