Lemon Squeezy MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Get Account Info, Get Order, Get Product, and more

Name: Lemon Squeezy
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Lemon Squeezy through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Lemon Squeezy MCP Server for Pydantic AI is a standout in the Money Moves category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

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 Lemon Squeezy "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Lemon Squeezy?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Lemon Squeezy MCP Server

Connect your Lemon Squeezy store to any AI agent and manage digital sales through natural conversation.

Pydantic AI validates every Lemon Squeezy tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

Product Management — List products with variants, pricing, and sales data
Order Tracking — Browse orders with status, amounts, and customer data
Subscription Monitoring — Track active subscriptions, renewals, and churn
Customer Database — List customers with purchase history and LTV
Revenue Analytics — Monitor MRR, refund rates, and growth trends
Store Management — Access store settings, checkout links, and discount codes

The Lemon Squeezy MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Lemon Squeezy tools available for Pydantic AI

When Pydantic AI connects to Lemon Squeezy through Vinkius, your AI agent gets direct access to every tool listed below — spanning saas-billing, merchant-of-record, tax-compliance, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get account info on Lemon Squeezy

Get account profile

get

Get order on Lemon Squeezy

Get order details

get

Get product on Lemon Squeezy

Get product details

get

Get subscription on Lemon Squeezy

Get subscription details

list

List customers on Lemon Squeezy

List all customers

list

List discounts on Lemon Squeezy

List promo codes

list

List orders on Lemon Squeezy

List all orders

list

List products on Lemon Squeezy

List all products

list

List stores on Lemon Squeezy

List all stores

list

List subscriptions on Lemon Squeezy

List all subscriptions

list

List variants on Lemon Squeezy

List all product variants

list

List webhooks on Lemon Squeezy

List configured webhooks

Connect Lemon Squeezy to Pydantic AI via MCP

Follow these steps to wire Lemon Squeezy into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Lemon Squeezy with type-safe schemas

Why Use Pydantic AI with the Lemon Squeezy MCP Server

Pydantic AI provides unique advantages when paired with Lemon Squeezy 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 Lemon Squeezy integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Lemon Squeezy connection logic from agent behavior for testable, maintainable code

Lemon Squeezy + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Lemon Squeezy MCP Server delivers measurable value.

Type-safe data pipelines: query Lemon Squeezy with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Lemon Squeezy tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Lemon Squeezy and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Lemon Squeezy responses and write comprehensive agent tests

Example Prompts for Lemon Squeezy in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Lemon Squeezy immediately.

"Show all products with sales data and this month's revenue."

"Show active subscriptions and churn analysis."

"List customers sorted by LTV and show discount codes."

Troubleshooting Lemon Squeezy MCP Server with Pydantic AI

Common issues when connecting Lemon Squeezy to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Lemon Squeezy + Pydantic AI FAQ

Common questions about integrating Lemon Squeezy MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Lemon Squeezy MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.