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How to Use the Learn Amp MCP in AutoGen

Run multi-agent debates in AutoGen using this MCP Server to manage Learn Amp user access.

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AutoGen

Connect Learn Amp MCP to AutoGen

Create your Vinkius account to connect Learn Amp 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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Multi-Agent Consensus for Learn Amp Provisioning

The `create_user` tool registers new employees in Learn Amp after your AutoGen agents agree on the setup. An AutoGen hiring agent proposes the profile, while a compliance agent checks the details before execution. This debate prevents duplicate profiles or incorrect permissions in Learn Amp. Once both AutoGen agents agree, the system calls `update_user` to finalize the account settings.

Coordinate Learn Amp Paths via AutoGen Debate

The `list_learnlists` tool retrieves available training tracks from Learn Amp for discussion. One AutoGen agent analyzes a user's role, while another matches it against active pathways. The AutoGen agents debate which track fits best, then use `get_learnlist` to verify the details. This cooperative planning ensures employees get the exact Learn Amp training they need.

Secure Offboarding with AutoGen MCP Server

The `deactivate_user` tool revokes system access when an employee leaves the company. An AutoGen HR agent flags the departure, and a security agent executes the deactivation after confirming the request. Before deactivating, the AutoGen agents call `list_users` to verify the account status. This multi-agent verification prevents accidental lockouts and keeps your Learn Amp directory clean.

Setup guide

Set up Learn Amp MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes Learn Amp 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="Learn Amp_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Learn Amp MCP in AutoGen

Use `mcp_server_tools` with your server URL to load the tools. Pass the resulting tool list to your AutoGen `AssistantAgent` to start automating workflows.
Yes. One AutoGen agent can pull user data with `get_user` while another checks learning requirements, negotiating the best training track before assigning it.
The `McpToolAdapter` converts tools like `complete_item` and `list_items` into the schema AutoGen agents need for conversational MCP use.
The AutoGen security agent calls `deactivate_user` to disable login capabilities. The user's historical Learn Amp training records remain intact for compliance audits.
All communication with the MCP Server is encrypted and run in a zero-trust sandbox. AutoGen does not persist your Learn Amp API keys or account configurations.

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