How to Use the SuperSaaS MCP in AutoGen

Run consensus-driven decision making on SuperSaaS with AutoGen.

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Connect SuperSaaS MCP to AutoGen

Create your Vinkius account to connect SuperSaaS to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup SuperSaaS with AutoGen

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Resolve Booking Conflicts

Imagine a debate: Agent A wants to book, but Agent B checks the schedule. They argue until they land on the best time slot using `get_schedule` and then confirm with `create_appointment`. This is consensus-driven booking. The agents challenge each other's assumptions—one might check if the user exists (`get_user`) before another agent even tries to book, ensuring no premature action.

Audit and Approve Account Changes

Running an audit requires deliberation. One agent might list all appointments using `list_appointments`, while a second agent reviews system changes via `list_changes`. They debate whether the deletion of an appointment (`delete_appointment`) is justified based on the full history. The conversation framework forces multiple perspectives to converge on a decision, preventing single-agent errors when managing complex records.

Validate Billing and User Status

A critical task: ensuring funds are available. One agent checks the balance using `get_account_balance`. Another agent verifies user eligibility by calling `list_account_users`. They must agree that both conditions pass before a final action can be taken. The system doesn't proceed until consensus is reached, making it ideal for high-stakes operations where multiple teams (agents) need to sign off on the outcome.

Setup guide

Set up SuperSaaS 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 SuperSaaS 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="SuperSaaS_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

AutoGen enables agents to debate and challenge conclusions based on SuperSaaS data. Instead of a direct call, multiple agents negotiate the correct sequence of tool calls like `get_user` followed by an action.

Yes. You can build scenarios where one agent flags a risk (e.g., insufficient funds via `get_account_balance`) and another attempts to resolve it, forcing the system to reach a consensus verdict.

This server touches scheduling and billing data. You can use tools like `list_appointments`, `get_schedule`, and `list_changes` to feed evidence into the agent debate, forcing a decision based on verifiable records.

It does. The framework is built to handle multiple agents debating outcomes derived from the MCP tools, making it perfect for complex, multi-stakeholder workflows.

The server touches user and billing information. The debate structure ensures that every decision—like updating an appointment or checking a balance—is explicitly ratified by the collective agents, logging accountability.

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