How to Use the Recharge MCP in AutoGen

Q: How do AutoGen agents collaborate on Recharge subscriptions?

You register the listsubscriptions tool with your AssistantAgent. One agent can retrieve the active subscription list, while a separate analyst agent reviews the details to suggest plan optimizations to the customer.

Q: Can an AutoGen agent cancel a Recharge contract?

Yes, by calling cancelsubscription. To prevent accidental churn, you can configure a supervisor agent to intercept this MCP Server tool call and require a final human confirmation in the terminal.

Q: Can I fetch customer lists using this setup?

Yes, the listcustomers tool lets your agents pull customer directories. This is useful when running multi-agent marketing campaigns where agents segment customers based on subscription age.

Coordinate multi-agent debate over Recharge subscription modifications directly inside AutoGen.

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Connect Recharge MCP to AutoGen

Create your Vinkius account to connect Recharge 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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Debate subscription cancellations in AutoGen

The `cancel_subscription` tool handles subscription termination, and `get_subscription_details` checks the active plan's value. In AutoGen, you can set up a customer retention agent to debate a billing agent before this tool is allowed to execute. The retention agent reviews the customer's history, while the billing agent pushes to execute the user's direct request. They negotiate an alternative offer, only calling the cancellation tool if they reach a consensus.

Validate shipping updates via MCP Server agents

The `list_shipping_addresses` tool retrieves customer delivery locations, and `update_subscription` applies the changes. This MCP Server setup lets a security agent verify address formats and shipping zones before a fulfillment agent updates the subscription. If the security agent flags an invalid zip code, it halts the conversation and requests clarification. This prevents failed deliveries and keeps address data clean without human intervention.

Audit billing charges with multi-agent checks

The `list_billing_charges` tool pulls payment records, and `get_order` retrieves specific invoice details. Your AutoGen agents can run collaborative audits, where a financial agent cross-checks these charges against your records. The agents discuss discrepancies in the conversation thread. Once they agree on the charge details, they present a clean summary to the user, eliminating manual spreadsheet lookups.

Setup guide

Set up Recharge 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 Recharge 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="Recharge_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Recharge. 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 Recharge MCP in AutoGen

You register the `list_subscriptions` tool with your AssistantAgent. One agent can retrieve the active subscription list, while a separate analyst agent reviews the details to suggest plan optimizations to the customer.

Yes, by calling `cancel_subscription`. To prevent accidental churn, you can configure a supervisor agent to intercept this MCP Server tool call and require a final human confirmation in the terminal.

AutoGen agents can coordinate their tool calls to prevent hitting the 40 requests per minute limit. You can set up a coordinator agent that schedules calls to `list_subscription_orders` to avoid throttling.

Yes, the `list_customers` tool lets your agents pull customer directories. This is useful when running multi-agent marketing campaigns where agents segment customers based on subscription age.

Your subscription details and customer lists are kept secure through Vinkius's isolated sandbox. The MCP Server communicates via local stdio or secure HTTP, ensuring your API credentials are never shared with the LLM.

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