How to Use the Recharge MCP in Pydantic AI

Q: How do I configure the Recharge MCP Server with Pydantic AI?

Install pydantic-ai-slimmcp and initialize MCPToolset pointing to your Vinkius endpoint. Pass this toolset into your Pydantic AI Agent constructor to instantly expose all eleven Recharge tools to your model.

Q: Can I use Pydantic AI to validate Recharge subscription orders?

You can use Pydantic AI to validate payloads from listsubscriptionorders and listproducts. The framework parses the JSON output against your defined models, ensuring perfect data integrity.

Build type-safe subscription agents using Pydantic AI and our MCP Server to validate every Recharge API payload at runtime.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Recharge MCP to Pydantic AI

Create your Vinkius account to connect Recharge 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 Recharge with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Runtime validation for Recharge updates in Pydantic AI

The `update_subscription` tool requires strict, validated payloads to prevent database corruption on your storefront. By using this MCP Server with Pydantic AI, every single argument passed to the Recharge API is verified against strict Python type models before the request leaves your server. If your agent attempts to write an invalid date format or an unsupported product ID, Pydantic AI throws a validation error immediately. This prevents broken data from ever reaching the Recharge API, keeping your active subscriptions intact.

Fail-safe billing and charge lookups using this MCP Server

The `list_billing_charges` and `get_order` tools return complex nested JSON structures that can confuse unstructured agents. Pydantic AI forces the agent to map these API responses directly to typed schemas, ensuring your application always knows exactly what it is reading. If Recharge updates its payload structure, your agent will fail loudly and safely instead of silently hallucinating wrong billing amounts. This is critical when handling financial transactions where accuracy is non-negotiable.

Type-safe customer profiles and shipping address management

The `get_customer` and `list_shipping_addresses` tools provide the core identity data for your subscribers. Pydantic AI ensures that fields like zip codes, phone numbers, and email addresses conform to strict patterns before the agent processes them. When your agent retrieves a subscription using `get_subscription_details`, Pydantic AI enforces type checks on the subscription intervals and pricing. This ensures your downstream logic never processes a malformed subscription record.

Setup guide

Set up Recharge 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": {
        "recharge-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Recharge 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 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.

Why Choose Vinkius

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

Connect Recharge 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 Recharge MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]` and initialize `MCPToolset` pointing to your Vinkius endpoint. Pass this toolset into your Pydantic AI Agent constructor to instantly expose all eleven Recharge tools to your model.

Yes, Pydantic AI validates all tool arguments at runtime. If the agent tries to call `cancel_subscription` with a malformed subscription ID, the framework catches the type mismatch before hitting the Recharge API.

You can use Pydantic AI to validate payloads from `list_subscription_orders` and `list_products`. The framework parses the JSON output against your defined models, ensuring perfect data integrity.

Pydantic AI is model-agnostic. You can connect this toolset to OpenAI, Anthropic, Gemini, or local models, and Pydantic will still enforce strict type safety on every Recharge action.

Your customer details, billing charges, and shipping addresses are protected using industry-standard TLS encryption. Vinkius runs the connector in temporary, zero-trust V8 isolates, ensuring no persistent storage of sensitive data.

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