How to Use the Chargebee MCP in AutoGen

Deploy competing AutoGen agents to debate and execute Chargebee billing operations safely.

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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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Negotiate Chargebee MCP Server Actions

AutoGen agents do not just blindly execute commands. You set up a risk-analysis agent and an account-management agent to discuss a user's request. When someone asks for a refund, the account agent suggests calling `get_customer_details` to extract structural properties driving active account logic. The risk agent reviews the extracted data. If the account looks suspicious, they debate the next step. Only after reaching a consensus will the system actually fire `generate_hosted_checkout` to route the user to an explicit payment UI or generate a hard customer record via `create_customer`.

Deliberate Cancellations and Pauses

Canceling a paid plan is a destructive action. Your multi-agent MCP setup requires a supervisor agent to approve any churn-related requests. The worker agent pulls the internal arrays to mitigate specific plan math using `get_subscription_details`. The supervisor analyzes those internal arrays. It instructs the worker to offer a discount first, or tell it to execute `pause_subscription` to identify precise active arrays for native pause tracking. If the user insists, the worker finally calls `cancel_subscription` to vaporize validations and extract the churn flags.

Cross-Check Invoices and Catalogs

You build an audit team of specialized agents. A finance agent runs `list_invoices` to enumerate explicitly attached structured rules for active billing. A compliance agent simultaneously runs `list_catalog_items` to retrieve exact structural matching for product mappings. They converse to ensure every billed amount matches the exact structural pricing tiers. The MCP standard handles the schema conversion automatically so the agents focus on the audit.

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)

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="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

Authentication happens at the infrastructure level. You pass your Vinkius MCP endpoint URL into `StreamableHttpServerParams`. The framework's adapter connects to the remote tools without requiring raw API keys in your Python code.

Yes. You load the tool list once and pass it into the constructor of any `AssistantAgent` that needs it. The finance agent and the support agent both access the billing endpoints during their conversation.

The MCP tool adapter translates the server's JSON schema into a format the agents understand. They read the required arguments for endpoints like customer creation or subscription listing before attempting the call.

The API returns an error block. The executing agent reads the failure message, reports it back to the group chat, and the agents discuss how to fix the parameter payload before retrying.

Vinkius isolates every session. When your agents generate explicit payment UI links or extract hard customer records, the processing happens in a sandboxed V8 environment. The memory space is wiped clean immediately after the connection drops, keeping your payment routing logic private.

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