How to Use the Innform MCP in AutoGen

Let your AutoGen agents debate and execute Innform user management tasks through collaborative reasoning.

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Connect Innform MCP to AutoGen

Create your Vinkius account to connect Innform 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 Innform with AutoGen

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Debate user access in AutoGen

Set up a security agent and an admin agent to discuss whether to `freeze_user`. They negotiate based on the data retrieved from `list_overdue_assignments`. This prevents impulsive account locks. The agents reach a consensus before taking action.

Collaborative training oversight

Use multiple agents to analyze `list_completed_assignments` and identify high-performing groups. They can cross-reference this with `list_users` to suggest new training paths. It brings different perspectives to your data. You get actionable insights without doing the analysis yourself.

Automated onboarding via agent consensus

Have your agents verify new requirements before calling `invite_user`. They cross-check details to ensure the invite goes to the right person. This reduces errors in your onboarding process. The agents confirm the details before any change is committed.

Setup guide

Set up Innform 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 Innform 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="Innform_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="Innform_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

They use the tools provided by the server to check user status. One agent pulls the list, and another decides if `freeze_user` is required.

They can. You pass the tool definitions to your agents, and they negotiate which one to use for specific administrative tasks.

The agents can discuss the error response and decide on a retry strategy. It makes your administrative tasks more resilient.

They are. The setup supports standard HTTP streams, allowing your agents to communicate with the server in real-time.

Only the tools you explicitly register are available to the agents. Your Innform access is limited strictly to the operations you define in the configuration.

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