Lemon Squeezy MCP Server for VS Code Copilot 11 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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{
"mcpServers": {
"lemon-squeezy": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
GitHub Copilot Agent mode brings Lemon Squeezy data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 11 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
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 VS Code Copilot 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 VS Code Copilot via MCP
Follow these steps to integrate the Lemon Squeezy MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using Lemon Squeezy
Ask Copilot: "Using Lemon Squeezy, help me...". 11 tools available
Why Use VS Code Copilot with the Lemon Squeezy MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Lemon Squeezy through the Model Context Protocol.
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Lemon Squeezy + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Lemon Squeezy MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
Lemon Squeezy MCP Tools for VS Code Copilot (11)
These 11 tools become available when you connect Lemon Squeezy to VS Code Copilot 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 VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot
Common issues when connecting Lemon Squeezy to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Lemon Squeezy + VS Code Copilot FAQ
Common questions about integrating Lemon Squeezy MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.Connect Lemon Squeezy with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lemon Squeezy to VS Code Copilot
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
