How to Use the Layup MCP in AutoGen

Enable multi-agent debate in AutoGen by giving your team access to Layup tools for order and deposit negotiation.

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Connect Layup MCP to AutoGen

Create your Vinkius account to connect Layup 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 Layup with AutoGen

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Debate order status using AutoGen

Let your agents use `get_order` to check status and then debate the next steps. One agent might flag a payment issue while another proposes a resolution. This allows your system to reach a consensus on whether to proceed with an order. It removes the need for a single, rigid script to handle complex cases.

Negotiate deposits via AutoGen agents

Use `create_deposit` as part of the agent's toolkit during a discussion about account balances. Agents propose deposit amounts and verify them against existing payment records. This collaborative approach ensures that every deposit is reviewed before it is registered. It creates a natural check-and-balance system for your financial operations.

Sync customer data in AutoGen

Agents call `list_customers` to gather information for their internal discussions. They use this data to verify that the person requesting an order change is authorized. This ensures that your agents are making decisions based on accurate, live profile information. They communicate their findings to each other until they reach a conclusion.

Setup guide

Set up Layup 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 Layup 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="Layup_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Layup 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 Layup. 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.

Why Choose Vinkius

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Common questions about Layup MCP in AutoGen

Install the MCP extension and use the tool adapter to convert your server functions. Pass the resulting list to your AssistantAgent constructor to enable the tools.

Yes, by providing the same tool set to multiple agents, they can call functions and discuss the results. This is ideal for scenarios requiring human-like deliberation.

The extension supports both stdio and HTTP transports. Choose the one that fits your deployment architecture for the most reliable connection.

The tool adapter automatically converts the server's JSON schema into the format expected by your agents. You do not need to write manual wrappers for the tools.

We use a zero-trust sandbox to manage your data. Your customer records never leave the secure environment unless explicitly requested by your authorized agents.

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