How to Use the UserStack User-Agent Lookup MCP in AutoGen

Q: Can I include this MCP Server when setting up AutoGen?

Yes. You use mcpservertools to gather the tool specifications and pass that list directly to your AssistantAgent constructor for immediate use in conversations.

Drive consensus with AutoGen: Agents debate user context using UserStack User-Agent Lookup results.

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Connect UserStack User-Agent Lookup MCP to AutoGen

Create your Vinkius account to connect UserStack User-Agent Lookup 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 UserStack User-Agent Lookup with AutoGen

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Debating Context in Multi-Agent Conversations

You can set up competing agents—say, a 'Security Agent' and a 'Performance Agent.' You feed `detect_user_agent`’s output into the discussion prompt. The agents then debate the implications of that context; for instance, whether detecting an outdated browser warrants a warning or just logging.

Using MCP Server Data in AutoGen Decision Making

The structured result from `detect_user_agent` acts as concrete evidence during the conversation. Agents don't just guess; they debate based on verifiable technical facts about the user's environment. This moves your system beyond simple Q&A into true, consensus-driven problem solving.

System Architecture with MCP Server Tools

AutoGen handles schema conversion for you. You pass the list of tools, including `detect_user_agent`, and the AssistantAgent knows how to incorporate its output into the ongoing conversation flow. It manages the entire process of calling the tool and feeding the result back into the debate pool.

Setup guide

Set up UserStack User-Agent Lookup 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 UserStack User-Agent Lookup 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="UserStack User-Agent Lookup_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent UserStack User-Agent Lookup 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="UserStack User-Agent Lookup_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent UserStack User-Agent Lookup 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 UserStack. 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 UserStack User-Agent Lookup MCP in AutoGen

It provides a neutral, factual starting point for deliberation. Instead of arguing about assumptions, your agents can argue based on the concrete facts found in the User-Agent string.

Yes. You use `mcp_server_tools` to gather the tool specifications and pass that list directly to your AssistantAgent constructor for immediate use in conversations.

It provides structured data defining the client's technical setup—the OS, browser version, and device type. This allows agents to discuss compatibility issues with precision.

Because of its simple, structured output (device/OS details), it integrates cleanly into the conversational flow, serving as reliable evidence for agent debate cycles.

The server reads and processes the raw User-Agent string. This technical identifier contains information about the client's device, browser, and operating system. It is not personal identifying information.

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