How to Use the Uscreen MCP in AutoGen

Q: If I need to know about a user's account, which specific Uscreen data type does the MCP Server touch?

The server touches Customer details. The agents can use listcustomers and getcustomer to gather all necessary information for their debate.

Get consensus decisions about Uscreen data using AutoGen agents.

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Create your Vinkius account to connect Uscreen 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 Uscreen with AutoGen

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Perplexity

Debating Content Readiness

You can set up two agents: a 'Content Agent' that calls `list_content` and an 'Audit Agent' that checks `get_collection`. They debate whether the content is ready for launch. The final decision requires consensus on both ID presence and collection association. AutoGen forces these competing perspectives to negotiate, making sure the system only proceeds when all necessary Uscreen criteria are met.

Validating Product Launches

Set up an agent team: one calls `list_products` and another checks `get_collection`. They argue about product eligibility. The final decision requires that the product ID listed matches a collection's known IDs. This consensus-driven approach prevents incomplete launches, forcing your agents to resolve conflicts in Uscreen data before giving an answer.

Reviewing User Payment Eligibility

Assign one agent to check `get_customer` details and another to run `list_subscriptions`. They debate if the customer is eligible for a discount. The final agreement requires checking both active status and billing tier. This multi-agent discussion mimics real-world business processes, ensuring that complex Uscreen logic isn't missed because of an oversimplified query.

Setup guide

Set up Uscreen 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 Uscreen 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="Uscreen_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Uscreen. 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 Uscreen MCP in AutoGen

You must set up at least two agents with conflicting goals. For example, having one agent check `list_products` and another checking inventory via `get_collection` forces the model to deliberate and reach consensus.

Yes, it excels at this. If a workflow requires two different data points—say, product ID and collection status—AutoGen makes agents argue over which one is correct until they agree.

Absolutely. You can task agents with comparing the details from `get_customer` against the payment history from `list_transactions`. The resulting debate provides a highly validated summary.

Give each tool function to a specific agent with defined roles. For instance, one agent manages 'listing' (`list_customers`) and another manages 'reading detail' (`get_customer`). They must collaborate.

The server touches Customer details. The agents can use `list_customers` and `get_customer` to gather all necessary information for their debate.

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