How to Use the Chargify MCP in OpenAI Agents SDK

Build production-safe billing agents for Chargify with the OpenAI Agents SDK. Automate subscriptions, customers, and holds with built-in guardrails.

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Connect Chargify MCP to OpenAI Agents SDK

Create your Vinkius account to connect Chargify to OpenAI Agents SDK 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 Chargify with OpenAI Agents SDK

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Manage Customers with Full Traceability

Give your agent the job of managing Chargify customers. It can pull a list of signups from a database, then use `create_customer` to provision them in Chargify. The entire operation is tracked in your OpenAI dashboard, so you have a complete audit log of every customer your agent adds or modifies. This isn't just for adding users. Your agent can run checks with `get_customer_details` to confirm an account exists before attempting another action. You can even build specialized agents that hand off tasks, like a 'New User' agent passing a customer ID to a 'Subscription' agent.

Control Subscriptions Safely

Automating subscription changes feels risky. The OpenAI Agents SDK changes that. Your agent can put accounts on billing holds with `hold_subscription` or reactivate them with `resume_subscription`, but you get the final say. The SDK's built-in guardrails will prompt you for confirmation before executing a destructive action like `cancel_subscription`. This means you can confidently deploy agents that handle billing exceptions. For example, an agent could detect a failed payment, use `hold_subscription` to pause the account, and then notify the customer. Once the payment issue is resolved, it can use `resume_subscription` to turn everything back on.

Automate Plan Upgrades and Downgrades

Let your agent handle subscription changes directly. It starts by getting a validated list of available plans using `list_catalog_products`. This prevents it from ever trying to switch a customer to a plan that doesn't exist. With that list, it can execute an upgrade or downgrade using `update_subscription_product`. The tools on this MCP server are specific. Your agent knows exactly what data it needs to provide for each action. This structured approach, combined with the OpenAI SDK's tracing, means you can see precisely why an agent chose to update a specific subscription.

Setup guide

Set up Chargify MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Chargify tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Chargify tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Chargify tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Chargify Agent",
            instructions="You have access to Chargify tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Chargify MCP in OpenAI Agents SDK

You instantiate the MCP server with a URL and token from Vinkius and pass it to your agent's constructor. The SDK automatically discovers all the available Chargify tools like `create_customer` and `cancel_subscription` and makes them available to your agent.

Yes. The OpenAI Agents SDK has built-in safety features. For destructive actions exposed by the MCP Server like `cancel_subscription`, the agent will prompt for human confirmation before it runs the tool.

It's built for production. You get built-in guardrails, handoffs between specialized agents, and full action tracing in the OpenAI dashboard. This lets you build and deploy reliable billing automation for Chargify, not just prototypes.

No. The Chargify MCP server exposes pre-built tools. Your agent calls these tools by name, and the server handles the actual API interaction with Chargify. You just tell the agent what you want to achieve.

This server only processes the data needed for its tools, like customer names, emails, and subscription details from Chargify. Vinkius runs each MCP Server in a zero-trust, ephemeral sandbox. Combined with OpenAI's tracing, you have a secure and auditable record of exactly what data your agent accessed.

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