How to Use the Awin MCP in AutoGen

Q: How do I configure the Awin MCP Server for AutoGen?

Install autogen-extmcp. Pass your Vinkius HTTP URL to StreamableHttpServerParams, extract the tools, and hand them to your AssistantAgent constructor.

Q: Can AutoGen agents verify my Awin account status?

A designated setup agent can call getaccountcheck before launching a campaign. It confirms your API connection is live before other agents start requesting data.

Q: How do multiple AutoGen agents share Awin reports over MCP?

One agent executes getaggregatedreport and posts the JSON output into the shared chat context. Other agents read that message and debate the performance metrics.

Q: Can I restrict Awin tool access to specific agents?

You assign tools per agent. Give generatetrackinglink to your content creator agent, but keep listtransactions restricted to your finance agent.

Let AutoGen agents debate and optimize your Awin affiliate campaigns autonomously via MCP.

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Setup Awin with AutoGen

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Multi-Agent Awin MCP Server Workflows

One agent pulls data, another critiques it. You set up a researcher agent that calls `list_available_programmes` to find new advertisers. It hands the list to a strategy agent for review. The strategy agent analyzes commission rates and pushes back if the terms look weak. They debate the options until they agree on which programs actually fit your niche.

Negotiate Promotion Placements

Your marketing agent grabs active voucher codes using `list_promotions` through the MCP integration. A compliance agent reviews the output to ensure the discounts match your brand guidelines. If a code requires specific formatting, the compliance agent flags it. The marketing agent then calls `generate_tracking_link` to build the final URLs, adjusting the parameters based on the feedback.

Audit Affiliate Transactions

Catching commission anomalies requires multiple perspectives. A finance agent runs `get_aggregated_report` to check monthly totals against expected revenue. When numbers look off, an audit agent steps in. It triggers `list_transactions` to pull the raw 31-day logs. The two agents compare the granular data against the aggregates and isolate the discrepancy.

Setup guide

Set up Awin 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 Awin 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="Awin_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Get your connection token →

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Common questions about Awin MCP in AutoGen

Install `autogen-ext[mcp]`. Pass your Vinkius HTTP URL to `StreamableHttpServerParams`, extract the tools, and hand them to your AssistantAgent constructor.

A designated setup agent can call `get_account_check` before launching a campaign. It confirms your API connection is live before other agents start requesting data.

One agent executes `get_aggregated_report` and posts the JSON output into the shared chat context. Other agents read that message and debate the performance metrics.

You assign tools per agent. Give `generate_tracking_link` to your content creator agent, but keep `list_transactions` restricted to your finance agent.

Your publisher IDs and transaction logs stay between your local AutoGen environment and the Awin API. The Vinkius sandbox routes the requests without logging the payload.

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