How to Use the Goaffpro MCP in AutoGen
Coordinate Goaffpro affiliate tasks across AutoGen agents to debate payouts, verify commissions, and prevent fraud through consensus.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Goaffpro MCP to AutoGen
Create your Vinkius account to connect Goaffpro 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.
Debate affiliate rewards with AutoGen
The `grant_affiliate_reward` tool executes payout bonuses once your AutoGen agents reach a consensus on the transaction. This MCP Server allows you to set up a multi-agent conversation where a security agent reviews the affiliate's history while a performance agent evaluates their sales volume. The agents debate whether the partner deserves the reward before triggering the tool. This collaborative decision-making process prevents accidental payouts. Because the agents must agree on the outcome, you avoid the risk of a single agent acting on incomplete information. The entire debate is logged, giving you a clear audit trail of why a reward was granted.
Resolve commission disputes using AutoGen agents
The `list_earned_commissions` tool retrieves the transaction history for your agents to analyze during a dispute. One agent acts as the partner advocate, pulling data using `get_affiliate_details` to present their case. Another agent represents your store's finance team, checking the referral logs to verify the claim. They negotiate a resolution based on the actual API data. If they find a discrepancy, they can automatically queue a correction. This removes the manual labor of reviewing disputes yourself, as the agents only involve you when they cannot reach a consensus.
Automate fraud checks on new partners
The `register_new_affiliate` tool adds new partners to your program after your agents complete a multi-step background check. When a new application arrives, a verification agent runs `find_affiliate_by_email` to search for existing accounts. Simultaneously, a risk agent checks the applicant's details against known fraud patterns. Only after both agents approve the applicant does the registration tool run. This MCP integration protects your store's margins without slowing down your onboarding process. This multi-agent verification pipeline ensures that only legitimate partners enter your program.
Set up Goaffpro 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Goaffpro tools and returns structured results.
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="Goaffpro_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Goaffpro data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Goaffpro_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Goaffpro data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Goaffpro. 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 Goaffpro MCP in AutoGen
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