How to Use the Lemon Squeezy MCP in Pydantic AI

Q: How do I initialize the Lemon Squeezy MCP Server with Pydantic AI?

Use the MCPToolset class with your Vinkius HTTP endpoint and pass it directly to your agent's toolsets argument. This registers Lemon Squeezy tools like liststores and getstoredetails while enabling strict runtime type checks.

Q: Can I use Pydantic AI to safely cancel subscriptions using the MCP Server?

Yes, the cancelsubscription tool is fully typed, meaning your agent must supply a valid subscription ID before the request is sent. This prevents runtime errors and accidental Lemon Squeezy billing modifications.

Q: How do I list all my customers using this setup?

Call listallcustomers to retrieve your customer database. The Pydantic AI agent parses the list, verifying that every email and customer ID conforms to your defined Lemon Squeezy schemas.

Build type-safe e-commerce agents with Pydantic AI to validate every Lemon Squeezy store transaction at runtime.

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Connect Lemon Squeezy MCP to Pydantic AI

Create your Vinkius account to connect Lemon Squeezy 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.

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Setup Lemon Squeezy with Pydantic AI

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Type-safe order lookups with Pydantic AI

The `get_order_details` tool fetches purchase records and validates the response schema against strict Pydantic AI models before your agent can use it. If the Lemon Squeezy API returns unexpected null values or modified types, the system raises a validation error immediately. Running `list_all_orders` allows your agent to process batch transaction histories. This setup guarantees that every Lemon Squeezy order ID, tax rate, and currency field matches your expected Python types, preventing silent data corruption in your financial pipelines.

Safe subscription cancellations via Pydantic AI MCP Server

The `cancel_subscription` tool stops active billing cycles while ensuring the returned status matches your strict Pydantic AI subscription schemas. Your agent cannot execute this tool with malformed arguments, as the framework validates input parameters before sending the Lemon Squeezy API request. Before triggering a cancellation, the agent calls `get_subscription_details` to verify the current status. The framework ensures that fields like renewal dates and trial periods are parsed correctly, letting you automate Lemon Squeezy churn management with confidence.

Store and catalog inspection

The `list_stores` tool retrieves your merchant profile data and maps it to strongly typed Pydantic AI models. Your agent uses this tool to identify which Lemon Squeezy store context to use before executing product or customer queries. From there, `list_all_products` and `get_product_details` pull live catalog information. Because the data is validated at runtime, your Pydantic AI agent can safely inject pricing and variant configurations directly into Lemon Squeezy customer-facing chat interfaces.

Setup guide

Set up Lemon Squeezy 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": {
        "lemon-squeezy-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lemon Squeezy. 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.

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Common questions about Lemon Squeezy MCP in Pydantic AI

Use the `MCPToolset` class with your Vinkius HTTP endpoint and pass it directly to your agent's `toolsets` argument. This registers Lemon Squeezy tools like `list_stores` and `get_store_details` while enabling strict runtime type checks.

The framework raises a validation error immediately rather than letting your agent hallucinate values. This strict behavior is critical when parsing sensitive Lemon Squeezy financial tools like `get_subscription_details` or `list_all_orders`.

Yes, the `cancel_subscription` tool is fully typed, meaning your agent must supply a valid subscription ID before the request is sent. This prevents runtime errors and accidental Lemon Squeezy billing modifications.

Call `list_all_customers` to retrieve your customer database. The Pydantic AI agent parses the list, verifying that every email and customer ID conforms to your defined Lemon Squeezy schemas.

Vinkius handles authentication at the gateway level, meaning your Pydantic AI agent only needs a single endpoint token. Your merchant API keys, contact details, and Lemon Squeezy store configurations are processed in memory inside an ephemeral V8 sandbox, preventing exposure.

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