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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Learn Amp tools and returns structured results.
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) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Learn Amp_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Learn Amp data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Learn Amp. 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 Learn Amp MCP in AutoGen
Use it with your favorite AI tools
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