Chargebee MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Cancel Subscription, Create Customer, Create Subscription, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Chargebee through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Chargebee app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Chargebee "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Chargebee?"
)
print(result.data)
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.
Pydantic AI validates every Chargebee tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire Chargebee into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Chargebee MCP Server
Pydantic AI provides unique advantages when paired with Chargebee through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Chargebee integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Chargebee connection logic from agent behavior for testable, maintainable code
Chargebee + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Chargebee MCP Server delivers measurable value.
Type-safe data pipelines: query Chargebee with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Chargebee tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Chargebee and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Chargebee responses and write comprehensive agent tests
Example Prompts for Chargebee in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Chargebee to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiChargebee + Pydantic AI FAQ
Common questions about integrating Chargebee MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.