Chargebee MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Cancel Subscription, Create Customer, Create Subscription, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Chargebee through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Chargebee app connector for OpenAI Agents SDK is a standout in the Money Moves category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Chargebee Assistant",
instructions=(
"You help users interact with Chargebee. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Chargebee"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Chargebee MCP Server
Connect your Chargebee site to any AI agent and take full control of your billing workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Chargebee through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Chargebee, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Subscription Lifecycle — List active, trialing, or cancelled subscriptions and inspect their metadata
- Customer Management — Query profiles, billing info, and contact details for any customer in your database
- Invoicing & Payments — Track paid, pending, and overdue invoices to stay on top of your revenue
- Product Catalog — List available plans and addons to understand your current offerings
- Actionable Workflows — Create customers, start new subscriptions, or cancel existing ones programmatically
The Chargebee MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Chargebee tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Chargebee through Vinkius, your AI agent gets direct access to every tool listed below — spanning recurring-billing, revenue-operations, subscription-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Cancel an existing subscription
Create a new customer profile
Create a new subscription for a customer
Get details for a specific customer
Get details for a specific subscription
List available product addons
List Chargebee customers
Can be filtered by status or customer. List Chargebee invoices
List available product plans
Supports filtering via optional parameters. List Chargebee subscriptions
Connect Chargebee to OpenAI Agents SDK via MCP
Follow these steps to wire Chargebee into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Chargebee MCP Server
OpenAI Agents SDK provides unique advantages when paired with Chargebee through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Chargebee + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Chargebee MCP Server delivers measurable value.
Automated workflows: build agents that query Chargebee, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Chargebee, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Chargebee tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Chargebee to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Chargebee in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Chargebee immediately.
"List all active subscriptions in Chargebee."
"Show me details for customer 'cust_789'."
"Find all overdue invoices."
Troubleshooting Chargebee MCP Server with OpenAI Agents SDK
Common issues when connecting Chargebee to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Chargebee + OpenAI Agents SDK FAQ
Common questions about integrating Chargebee MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.