How to Use the Common Room MCP in AutoGen

Let your AutoGen agents debate community strategy by accessing Common Room data via this MCP Server.

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Connect Common Room MCP to AutoGen

Create your Vinkius account to connect Common Room 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 Common Room with AutoGen

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Debate community insights in AutoGen

Multiple AutoGen agents can now challenge one another using data from `list_members`. One agent analyzes engagement while another disputes the findings based on recent activity logs. This negotiation process ensures that community decisions are backed by evidence. The agents use the tool output to reach a consensus on member status.

Manage community activity with AutoGen

Assign an agent to monitor and `ingest_activity` from external sources. The AutoGen team coordinates to verify the incoming data before it hits your dashboard. This prevents bad data from entering your records. Your agents perform the checks required to ensure the community timeline remains accurate.

Configure webhooks using AutoGen

Use `list_webhooks` to let your agents audit existing integrations. If a configuration is missing, the agents work together to execute `create_webhook`. This automates your infrastructure setup. Your agents handle the technical overhead while you focus on the community strategy.

Setup guide

Set up Common Room 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 Common Room 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="Common Room_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Agents call the tools to fetch member data and debate findings. They work as a team to process community information and reach informed conclusions.

Yes, agents are capable of updating member profiles after reaching a consensus. This allows for automated, multi-step community management.

The server provides a reliable interface for multi-agent systems. It handles concurrent requests, allowing your agents to debate without blocking each other.

You simply pass the server tools to your agents. The adapter handles the schema conversion, allowing your agents to start interacting immediately.

We enforce strict access control at the server level. Only the data explicitly requested by an agent is retrieved, ensuring your community's private records stay protected during the debate.

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