How to Use the Chargebee MCP in AutoGen

Give your AutoGen agents the ability to debate, approve, and execute Chargebee billing changes through consensus-driven workflows.

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Connect Chargebee MCP to AutoGen

Create your Vinkius account to connect Chargebee 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 Chargebee with AutoGen

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Multi-Agent Chargebee MCP Server Tasks

This MCP server gives your AutoGen agents the ability to debate and approve billing changes. You set up a billing agent with access to `create_subscription` and a separate risk agent that reviews the request. They talk to each other before anything hits the API. The risk agent might notice a missing payment method. It pushes back immediately. The billing agent then runs `get_customer` to verify the profile status, ensuring nothing gets created until both agree.

Debate Cancellation Requests

Your agents collaborate to evaluate and process cancellation requests thoughtfully. A user asks to cancel. Your primary agent fetches their active products using `get_subscription`, while a retention agent reviews their history to suggest alternatives. They deliberate over which discount to offer based on the `list_addons` output. If the retention strategy fails, the primary agent finally executes `cancel_subscription`. You get a careful, automated offboarding process.

Audit Invoices Collaboratively

This integration lets multiple agents audit monthly invoices collaboratively. One agent pulls the current month's transactions using `list_invoices`. Another agent cross-references those totals against active plans from `list_plans`. If they find a discrepancy, they flag it for a human. The system handles the tedious data gathering and formatting. This leaves only the complex edge cases for your MCP client to flag.

Setup guide

Set up Chargebee 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 Chargebee 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="Chargebee_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Run pip install for the AutoGen extension. Use the server tools function with your Vinkius HTTP endpoint, then pass that output directly into your AssistantAgent constructor.

This specific server focuses on subscriptions and profiles. Agents can manage plans, run `create_customer`, or pull invoices, but direct payment refunds require a different toolset.

The MCP protocol adapter does the heavy lifting. It automatically translates the JSON schema required by `create_subscription` into a format your agents understand natively.

Yes, you can configure the conversation flow to pause. The agent prepares the `cancel_subscription` payload, but waits for explicit user confirmation before executing the HTTP request.

We route everything through our managed infrastructure. Your endpoint token authenticates a completely isolated sandbox session, and when your agents finish analyzing those customer profiles, the container is destroyed.

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