How to Use the Chargebee MCP in Pydantic AI

Q: How does the sandbox secure my Chargebee customer IDs and transaction tokens?

Every execution of createcustomer or generatehostedcheckout runs inside an isolated V8 sandbox. Your credentials and customer tokens are kept completely separate from other environments, keeping your database safe.

Build type-safe billing pipelines with Pydantic AI and this verified Chargebee integration.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Chargebee MCP to Pydantic AI

Create your Vinkius account to connect Chargebee to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Chargebee with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate Chargebee schemas at runtime with Pydantic AI

This MCP Server integrates with Pydantic AI to ensure that every billing tool, from `get_customer_details` to `list_invoices`, returns strictly validated data. If the API returns unexpected schema changes, the framework raises a validation error immediately rather than letting corrupt data slip through. Your python agents can confidently handle financial records because the framework enforces strict type checks on every JSON payload. This prevents silent failures when pulling customer files or managing recurring billing.

Securely pause and cancel subscriptions with type safety

The `pause_subscription` and `cancel_subscription` tools let your agents manage subscription lifecycles without risking structural errors. Pydantic AI validates the input parameters before sending them to the server, catching missing fields before they hit the API. When extracting churn flags or plan math via `get_subscription_details`, the returned arrays are parsed into clean python models. This makes it easy to write assertions and unit tests around your automated billing workflows.

Generate checkouts and customers with strict schemas

Your agents can invoke `create_customer` and `generate_hosted_checkout` knowing that the generated payloads conform strictly to your expected types. This eliminates API errors caused by mismatched string types or missing required fields. The agent uses `list_catalog_items` to verify product mapping against your active catalog before routing users to the payment UI. Every transaction is executed within a secure, ephemeral sandbox environment.

Setup guide

Set up Chargebee MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "chargebee-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Chargebee tools.",
)

result = await agent.run("List recent Chargebee transactions")
print(result.output)

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Chargebee now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Chargebee MCP in Pydantic AI

You instantiate the MCPToolset with your Vinkius HTTP endpoint and pass it to your Agent's toolsets parameter. This automatically exposes tools like `list_customers` with full type validation.

The framework will raise a validation error instantly instead of passing dirty data to your model. This ensures that tools like `get_subscription_details` never corrupt your agent's state.

Yes, you can connect to this server using either transport protocol via the unified MCPToolset interface. This lets you run your type-safe agents against our managed cloud endpoints.

Yes, the framework is model-agnostic, meaning you can run these tools with Anthropic, Gemini, or local models. The type validation works the same way regardless of the LLM you choose for your MCP agent.

Every execution of `create_customer` or `generate_hosted_checkout` runs inside an isolated V8 sandbox. Your credentials and customer tokens are kept completely separate from other environments, keeping your database safe.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript