How to Use the Nue.io Revenue MCP in AutoGen

Enable multi-agent debate in AutoGen with the Nue.io Revenue MCP server to negotiate complex pricing and catalog strategies.

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Connect Nue.io Revenue MCP to AutoGen

Create your Vinkius account to connect Nue.io Revenue 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 Nue.io Revenue with AutoGen

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Debate pricing strategies

Deploy a security agent alongside a sales agent using `list_product_price_tags`. They can argue about the validity of a discount, ensuring your pricing stays within compliance boundaries. This forces a consensus before any action occurs. You build a system that checks its own work through internal debate.

Negotiate bundle configurations

Use `list_product_bundles` to provide data for your agents to evaluate. One agent suggests a bundle, and the other validates it against your revenue goals. The agents reach an agreement based on the actual catalog state. You get a decision that has been vetted by multiple perspectives.

Audit workflows with multiple agents

Let your technical agent check `list_revenue_workflows` while the business agent tracks the output. They confirm that the process meets your requirements. It creates a layer of verification that catches errors early. You no longer rely on a single agent to get the revenue logic right.

Setup guide

Set up Nue.io Revenue 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 Nue.io Revenue 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="Nue.io Revenue_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Nue.io Revenue 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="Nue.io Revenue_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Nue.io Revenue 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 Nue.io. 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 Nue.io Revenue MCP in AutoGen

The McpToolAdapter automatically maps the server tools to the agents. Once registered, the agents call the tools as part of their conversation flow.

Yes, the conversation history allows all agents to see the tool outputs. Every agent in the group has access to the same catalog information for their debate.

The server uses a zero-trust architecture where every request requires your token. The sensitive metadata is never exposed outside of your defined agent group.

Agents can use the tools to retrieve competing price tags and debate which one fits the current deal. They converge on the best option based on the live data.

You can implement a coordinator agent that manages the request frequency. This ensures your conversation stays within the API limits of your subscription.

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