How to Use the Kiwify MCP in AutoGen

Q: How do AutoGen agents handle conflicting data from Kiwify tools?

They debate the discrepancies. For example, if listsaleshistory shows a pending charge but listactivesubscriptions says active, the agents discuss the state before updating your database.

Deploy AutoGen agents to debate, verify, and execute complex checkout and affiliate operations for your Brazilian digital storefront.

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Connect Kiwify MCP to AutoGen

Create your Vinkius account to connect Kiwify 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 Kiwify with AutoGen

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Consensus-driven sales verification with AutoGen agents

Stop letting single agents make critical financial decisions on your store. Your AutoGen setup uses a finance agent that checks payout balances with `get_account_summary` while a verification agent inspects `get_sale_details`. They debate the validity of specific transactions before triggering refunds or commission releases. This multi-agent deliberation prevents errors and ensures your financial records remain completely accurate.

Collaborative webhook management and security audits

Managing active endpoints requires careful oversight. The MCP Server allows your security agent to inspect current endpoints using `list_configured_webhooks` and flag any unauthorized URLs. If an anomaly is found, a developer agent calls `delete_notification_webhook` to remove the threat, while a system agent registers a fresh endpoint using `create_notification_webhook`.

Automated affiliate and product performance analysis

Analyzing product performance shouldn't be a manual task. One agent pulls your inventory via `list_products` while another tracks active recurring revenue using `list_active_subscriptions`. They compare notes to identify which digital courses are driving the highest retention rates. The final report is compiled only after both agents agree on the underlying metrics.

Setup guide

Set up Kiwify 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 Kiwify 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="Kiwify_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install the extension package first. Use the MCP adapter with HTTP transport parameters to fetch the tools, then pass that list directly to your `AssistantAgent` constructor.

Yes. A customer service agent can identify a complaint, while a supervisor agent uses `get_sale_details` to verify the payment before executing any manual resolution steps.

They debate the discrepancies. For example, if `list_sales_history` shows a pending charge but `list_active_subscriptions` says active, the agents discuss the state before updating your database.

Yes. You configure your agent roles so only your security agent has access to `delete_notification_webhook`, while other conversational agents are restricted to read-only tools.

Vinkius manages all authorization headers on its secure MCP gateway. Your AutoGen agents only interact with tools like `get_account_summary` through a single secure endpoint token, keeping your master keys hidden.

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