How do I find my Lemon Squeezy API Key?

Log in to your Lemon Squeezy dashboard and navigate to Settings > API to generate and copy your unique API Key.

Can I cancel a customer subscription using the agent?

Yes, use the `cancel_subscription` tool with the unique subscription ID. The subscription will remain active until the end of the current billing cycle.

Is it possible to see the formatted price of a product?

Yes, the tools retrieve the `total_formatted` or `price_formatted` attributes directly from the Lemon Squeezy API for easy reading.

Lemon Squeezy MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: Lemon Squeezy
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Lemon Squeezy through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "lemon-squeezy": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Lemon Squeezy, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 account to any AI agent to automate your software sales and subscription management. This MCP server enables your agent to interact with stores, products, orders, and customer subscriptions directly from natural language interfaces using the JSON:API standard.

LangChain's ecosystem of 500+ components combines seamlessly with Lemon Squeezy through native MCP adapters. Connect 11 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Store Oversight — List all your Lemon Squeezy stores and retrieve detailed configurations and metadata
Product Management — Query your entire product catalog, including pricing, status, and purchase URLs
Order Tracking — List and retrieve detailed information for customer orders, including financial totals and payment status
Subscription Lifecycle — Monitor active subscriptions, retrieve renewal dates, and cancel plans when necessary
Customer CRM — Manage customer profiles and retrieve their complete purchase and subscription history

The Lemon Squeezy MCP Server exposes 11 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Lemon Squeezy to LangChain via MCP

Follow these steps to integrate the Lemon Squeezy MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from Lemon Squeezy via MCP

Why Use LangChain with the Lemon Squeezy MCP Server

LangChain provides unique advantages when paired with Lemon Squeezy through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Lemon Squeezy MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Lemon Squeezy queries for multi-turn workflows

Lemon Squeezy + LangChain Use Cases

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

RAG with live data: combine Lemon Squeezy tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Lemon Squeezy, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Lemon Squeezy tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Lemon Squeezy tool call, measure latency, and optimize your agent's performance

Lemon Squeezy MCP Tools for LangChain (11)

These 11 tools become available when you connect Lemon Squeezy to LangChain via MCP:

cancel_subscription

The customer will retain access until the end of the current billing cycle. Cancel an active subscription

get_customer_details

Get details for a specific customer

get_order_details

Get details for a specific order

get_product_details

Get details for a specific product

get_store_details

Get details for a specific store

get_subscription_details

Get details for a specific subscription

list_all_customers

List all customers

list_all_orders

List all orders

list_all_products

List all products available in your account

list_all_subscriptions

List all active and historical subscriptions

list_stores

List all stores in your Lemon Squeezy account

Example Prompts for Lemon Squeezy in LangChain

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

"List all products in my Lemon Squeezy account."

"Show my 5 most recent orders."

"Get details for subscription ID '98765'."

Troubleshooting Lemon Squeezy MCP Server with LangChain

Common issues when connecting Lemon Squeezy to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Lemon Squeezy + LangChain FAQ

Common questions about integrating Lemon Squeezy MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.