How to Use the Keepcon MCP in AutoGen

Q: How do I set up Keepcon agents in AutoGen?

Use the autogen-extmcp package to import the tools. Once loaded, pass them to your AssistantAgent so it can start debating moderation calls.

Deploy multi-agent teams in AutoGen that debate and execute Keepcon moderation tasks.

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Connect Keepcon MCP to AutoGen

Create your Vinkius account to connect Keepcon 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 Keepcon with AutoGen

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Debate moderation results in AutoGen

Assign one agent to call `moderate_content` and another to analyze the result. They discuss the findings and decide if a profile needs further review. This prevents hasty decisions. By having multiple agents challenge the output, you catch edge cases that a single-agent system would miss.

Negotiate actions using Keepcon MCP Server

Your agents use `submit_feedback` to settle disagreements on moderation quality. If one agent flags a false positive, it negotiates with the others to submit a correction. It creates a consensus-based approach to your moderation workflow. You get more reliable outcomes through this peer-review process.

Execute batch workflows with AutoGen agents

Delegate `import_batch` and `export_results` to a coordinator agent. It manages the lifecycle of the moderation job while other agents handle the analysis. This keeps your main agent free for higher-level reasoning. It's a clean way to handle high-volume tasks without cluttering your conversation history.

Setup guide

Set up Keepcon 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 Keepcon 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="Keepcon_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Use the autogen-ext[mcp] package to import the tools. Once loaded, pass them to your AssistantAgent so it can start debating moderation calls.

Yes, once the tools are registered, your agents share access to the same server session. They can coordinate their actions based on the latest tool results.

Review the conversation history in AutoGen. Since every tool call is a message, you can see exactly which agent requested the data and how the other reacted.

The server uses a zero-trust architecture. Your moderation data is only accessible to the agents you explicitly authorize via the endpoint token.

The server processes your user IDs in memory during the request. No persistent logs of these IDs are kept on the server side, ensuring your data remains isolated.

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