How to Use the Commission Factory MCP in AutoGen

Let your AutoGen agents debate and execute Commission Factory tasks for better decision making.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Commission Factory MCP to AutoGen

Create your Vinkius account to connect Commission Factory 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.

GDPR Free for Subscribers

Setup Commission Factory with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate affiliate performance in AutoGen

One agent calls `get_performance_summary` while another checks `list_merchant_transactions`. They argue about the results until they reach a consensus. This approach catches errors that a single agent might miss. You get a second opinion on your own marketing data before taking action.

Negotiate program terms with AutoGen

Agents use `get_merchant_details` to evaluate if a program fits your current strategy. If the data looks weak, the agent flags it for review. Your team of agents compares multiple merchants found via `list_affiliate_merchants`. They debate the merits of each one based on your specific goals.

Verify transaction integrity

An agent pulls specific records using `get_transaction_details` to verify claims. Another agent cross-references these with your internal sales logs. This automated auditing happens without you lifting a finger. The agents resolve discrepancies through their internal discussion loop.

Setup guide

Set up Commission Factory 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 Commission Factory 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="Commission Factory_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Commission Factory 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 Commission Factory. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Commission Factory now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Commission Factory MCP in AutoGen

They use the McpToolAdapter to communicate with the server. Each agent gets access to the tools and starts proposing actions.

They do. You set up a supervisor agent to mediate the discussion and finalize the decision based on the tool output.

The server supports HTTP transport, which handles high-frequency requests from your agents. It remains responsive during group chats.

You define which tools each agent can access in the agent constructor. This limits the scope of what the agents can do with your account.

Transaction details are shared only between authorized agents in the conversation. The MCP Server acts as a secure gateway for your account information.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript