# How to integrate Lemon squeezy MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Lemon squeezy MCP with Vercel AI SDK v6", "toolkit": "Lemon squeezy", "toolkit_slug": "lemon_squeezy", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/lemon_squeezy/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/lemon_squeezy/framework/ai-sdk.md", "updated_at": "2026-05-12T10:17:24.755Z" } ``` ## Introduction This guide walks you through connecting Lemon squeezy to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Lemon squeezy agent that can list all recent orders for your store, create a new customer with email address, show all active discounts available now through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Lemon squeezy account through Composio's Lemon squeezy MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Lemon squeezy with - [OpenAI Agents SDK](https://composio.dev/toolkits/lemon_squeezy/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/lemon_squeezy/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/lemon_squeezy/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/lemon_squeezy/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/lemon_squeezy/framework/codex) - [OpenClaw](https://composio.dev/toolkits/lemon_squeezy/framework/openclaw) - [Hermes](https://composio.dev/toolkits/lemon_squeezy/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/lemon_squeezy/framework/cli) - [Google ADK](https://composio.dev/toolkits/lemon_squeezy/framework/google-adk) - [LangChain](https://composio.dev/toolkits/lemon_squeezy/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/lemon_squeezy/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/lemon_squeezy/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/lemon_squeezy/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Lemon squeezy integration - Using Composio's Tool Router to dynamically load and access Lemon squeezy tools - Creating an MCP client connection using HTTP transport - Building an interactive CLI chat interface with conversation history management - Handling tool calls and results within the Vercel AI SDK framework ## What is Vercel AI SDK? The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state. Key features include: - streamText: Core function for streaming responses with real-time tool support - MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp - Step Counting: Control multi-step tool execution with stopWhen: stepCountIs() - OpenAI Provider: Native integration with OpenAI models ## What is the Lemon squeezy MCP server, and what's possible with it? The Lemon Squeezy MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Lemon Squeezy account. It provides structured and secure access to your e-commerce operations, so your agent can perform actions like managing customers, tracking orders, retrieving discounts, and handling subscriptions on your behalf. - Customer creation and management: Quickly add new customers or pull up detailed customer lists, streamlining your onboarding and support flows. - Order tracking and retrieval: Effortlessly fetch a paginated list of orders or drill down to specific order items to monitor sales activity and fulfillment status. - Discount and affiliate insights: Retrieve all active discounts or affiliate partners, making it a breeze to analyze promotions and partner performance. - Checkout and price listing: Access and filter all checkouts or prices across your stores and variants, helping you keep tabs on your sales funnels and product offerings. - License key and redemption management: List all license key instances and track discount redemptions, ensuring easy oversight of software access and promotional usage. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `LEMON_SQUEEZY_CREATE_CUSTOMER` | Create Customer | Tool to create a new customer. Use after verifying the store exists and you need to add a customer to it. Example: "Create a customer John Doe with email johndoe@example.com in store 1." | | `LEMON_SQUEEZY_CREATE_DISCOUNT` | Create Discount | Tool to create a new discount code in Lemon Squeezy. Use when you need to create promotional discounts for products or subscriptions. Example: "Create a discount code SUMMER20 with 20% off in store 123." | | `LEMON_SQUEEZY_CREATE_WEBHOOK` | Create Webhook | Tool to create a new webhook for receiving event notifications. Use when you need to register a webhook endpoint to receive events like order_created, subscription_created, etc. Specify the webhook URL, signing secret, and event types to subscribe to. | | `LEMON_SQUEEZY_DELETE_DISCOUNT` | Delete Discount | Tool to delete a discount by its ID. Use when you need to permanently remove a discount from a store. | | `LEMON_SQUEEZY_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a webhook. Use when you need to remove a registered webhook endpoint. | | `LEMON_SQUEEZY_LIST_ALL_AFFILIATES` | List All Affiliates | Tool to list all affiliates. Use when you need to retrieve affiliates with optional filters and pagination. | | `LEMON_SQUEEZY_LIST_ALL_CHECKOUTS` | List All Checkouts | Tool to list all checkouts. Use when you need a paginated list of checkouts, optionally filtering by store or variant. | | `LEMON_SQUEEZY_LIST_ALL_CUSTOMERS` | List All Customers | Retrieves a paginated list of all customers from your Lemon Squeezy store(s). Returns customer details including email, name, location, revenue metrics (MRR, total revenue), marketing status, and relationships to orders, subscriptions, and license keys. Use this action to: - Get all customers across stores or filter by specific store_id - Find a customer by email address - List customers with pagination support (default 10 per page, max 100) - Access customer portal URLs and relationship links All parameters are optional. Without filters, returns all customers ordered by creation date (newest first). | | `LEMON_SQUEEZY_LIST_ALL_DISCOUNT_REDEMPTIONS` | List All Discount Redemptions | Tool to list all discount redemptions. Use when you need a paginated list of discount redemptions, optionally filtering by discount or order. | | `LEMON_SQUEEZY_LIST_ALL_DISCOUNTS` | List All Discounts | Tool to list all discounts. Use when you need a paginated list of discounts after confirming authentication. | | `LEMON_SQUEEZY_LIST_ALL_FILES` | List All Files | Retrieves a paginated list of files from Lemon Squeezy. Use this to get digital goods that can be downloaded by customers after purchase. Each file belongs to a variant and includes download URLs (signed, expiring after 1 hour, rate-limited to 10 downloads/day/IP). Filter by variant ID or control pagination with page number and size. | | `LEMON_SQUEEZY_LIST_ALL_LICENSE_KEY_INSTANCES` | List All License Key Instances | Tool to list all license key instances. Use when you need a paginated list of license key instances, optionally filtering by license key ID. | | `LEMON_SQUEEZY_LIST_ALL_LICENSE_KEYS` | List All License Keys | Tool to list all license keys. Use when you need a paginated list of license keys, optionally filtering by store, order, order item, or product. | | `LEMON_SQUEEZY_LIST_ALL_ORDER_ITEMS` | List All Order Items | Tool to list all order items. Use when you need a paginated list of order items, optionally filtered by order, product, or variant. Note: the `first_order_item` field on an order object returns only one item; use `filter_order_id` here to retrieve all line items for multi-item orders. | | `LEMON_SQUEEZY_LIST_ALL_ORDERS` | List All Orders | Tool to list all orders. Use when you need a paginated list of orders, optionally filtering by store or user email. Monetary fields (e.g., `subtotal`, `tax`, `total`) are integers in the smallest currency unit (e.g., cents); use `*_formatted` variants for display only, not calculations. | | `LEMON_SQUEEZY_LIST_ALL_PRICES` | List All Prices | Tool to list all prices. Use when you need a paginated list of all prices, optionally filtering by variant. | | `LEMON_SQUEEZY_LIST_ALL_PRODUCTS` | List All Products | List all products from your Lemon Squeezy store with pagination and filtering. Returns a paginated list of products ordered by name. Each product includes pricing, status, thumbnails, checkout URLs, and metadata. Useful for browsing your product catalog, checking product details, or filtering by store. | | `LEMON_SQUEEZY_LIST_ALL_STORES` | List All Stores | Retrieves a paginated list of all stores belonging to the authenticated Lemon Squeezy account. This action returns comprehensive store information including store details (name, slug, domain, URL), financial metrics (total sales/revenue, 30-day sales/revenue), configuration (plan, country, currency), and relationship links to associated resources (products, orders, subscriptions, discounts, license keys, webhooks, and affiliates). Returns stores ordered by name in ascending order with pagination metadata. No input parameters required. Use this as a starting point to discover available stores before working with other store-specific resources. | | `LEMON_SQUEEZY_LIST_ALL_SUBSCRIPTION_INVOICES` | List All Subscription Invoices | Tool to list all subscription invoices. Use when you need a paginated list of subscription invoices with optional filters. | | `LEMON_SQUEEZY_LIST_ALL_SUBSCRIPTION_ITEMS` | List All Subscription Items | Tool to list all subscription items. Use when you need a paginated list of items across subscriptions for reporting or auditing. | | `LEMON_SQUEEZY_LIST_ALL_SUBSCRIPTIONS` | List All Subscriptions | Tool to list all subscriptions. Use when you need a paginated list of subscriptions, optionally filtered by store, order, product, or status. | | `LEMON_SQUEEZY_LIST_ALL_USAGE_RECORDS` | List All Usage Records | Retrieves all usage records from Lemon Squeezy, with optional filtering and pagination. Usage records track consumption for usage-based billing on subscription items. Each record represents reported usage with a quantity and action type (increment or set). Records are returned in descending order by creation date (newest first). Use this when you need to: - View all usage records across subscription items - Filter usage records for a specific subscription item - Paginate through large sets of usage records Note: Returns an empty list if no usage records exist or the filter matches nothing. | | `LEMON_SQUEEZY_LIST_ALL_VARIANTS` | List All Variants | Retrieves a paginated list of product variants from Lemon Squeezy. A variant represents a variation of a product with its own pricing options, files, and license key settings. You can filter by product ID and status (pending/draft/published), and control pagination with page number and size. | | `LEMON_SQUEEZY_LIST_ALL_WEBHOOKS` | List All Webhooks | Tool to list all webhooks. Use when you need to retrieve registered webhooks. Supports optional filtering by store ID and pagination parameters for controlling result size and navigation. | | `LEMON_SQUEEZY_RETRIEVE_AUTHENTICATED_USER` | Retrieve Authenticated User | Tool to retrieve the currently authenticated user from Lemon Squeezy. Use when you need to get details about the user associated with the current API key, including their name, email, avatar, and account timestamps. | | `LEMON_SQUEEZY_RETRIEVE_CUSTOMER` | Retrieve Customer | Tool to retrieve a specific customer by their ID. Use when you need detailed information about a single customer including their email, name, location, revenue metrics, and relationships to orders and subscriptions. | | `LEMON_SQUEEZY_RETRIEVE_DISCOUNT` | Retrieve Discount | Tool to retrieve a single discount by ID. Use when you need details about a specific discount. | | `LEMON_SQUEEZY_RETRIEVE_STORE` | Retrieve Store | Tool to retrieve a store by its ID. Use when you need to get detailed information about a specific store. Returns comprehensive store data including financial metrics, configuration, and related resource links. | | `LEMON_SQUEEZY_RETRIEVE_WEBHOOK` | Retrieve Webhook | Tool to retrieve a webhook by its ID. Use when you need to get details of a specific webhook configuration. | | `LEMON_SQUEEZY_UPDATE_CUSTOMER` | Update Customer | Tool to update an existing customer with the given ID. Use when you need to modify customer details like name, email, or address information. At least one attribute field must be provided to update. | | `LEMON_SQUEEZY_UPDATE_WEBHOOK` | Update Webhook | Tool to update an existing webhook. Use when you need to modify the URL, events, or secret for a registered webhook. | | `LEMON_SQUEEZY_VALIDATE_LICENSE` | Validate License | Tool to validate a license key and optionally a specific license key instance. Use when you need to check if a license key is valid and active. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Lemon squeezy MCP server is an implementation of the Model Context Protocol that connects your AI agent to Lemon squeezy. It provides structured and secure access so your agent can perform Lemon squeezy operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before you begin, make sure you have: - Node.js and npm installed - A Composio account with API key - An OpenAI API key ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider. - Keep the API key safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install required dependencies First, install the necessary packages for your project. What you're installing: - @ai-sdk/openai: Vercel AI SDK's OpenAI provider - @ai-sdk/mcp: MCP client for Vercel AI SDK - @composio/core: Composio SDK for tool integration - ai: Core Vercel AI SDK - dotenv: Environment variable management ```bash npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's needed: - OPENAI_API_KEY: Your OpenAI API key for GPT model access - COMPOSIO_API_KEY: Your Composio API key for tool access - COMPOSIO_USER_ID: A unique identifier for the user session ```bash OPENAI_API_KEY=your_openai_api_key_here COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here ``` ### 4. Import required modules and validate environment What's happening: - We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio - The dotenv/config import automatically loads environment variables - The MCP client import enables connection to Composio's tool server ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); ``` ### 5. Create Tool Router session and initialize MCP client What's happening: - We're creating a Tool Router session that gives your agent access to Lemon squeezy tools - The create method takes the user ID and specifies which toolkits should be available - The returned mcp object contains the URL and authentication headers needed to connect to the MCP server - This session provides access to all Lemon squeezy-related tools through the MCP protocol ```typescript async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["lemon_squeezy"], }); const mcpUrl = session.mcp.url; ``` ### 6. Connect to MCP server and retrieve tools What's happening: - We're creating an MCP client that connects to our Composio Tool Router session via HTTP - The mcp.url provides the endpoint, and mcp.headers contains authentication credentials - The type: "http" is important - Composio requires HTTP transport - tools() retrieves all available Lemon squeezy tools that the agent can use ```typescript const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); ``` ### 7. Initialize conversation and CLI interface What's happening: - We initialize an empty messages array to maintain conversation history - A readline interface is created to accept user input from the command line - Instructions are displayed to guide the user on how to interact with the agent ```typescript let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to lemon_squeezy, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); ``` ### 8. Handle user input and stream responses with real-time tool feedback What's happening: - We use streamText instead of generateText to stream responses in real-time - toolChoice: "auto" allows the model to decide when to use Lemon squeezy tools - stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations - onStepFinish callback displays which tools are being used in real-time - We iterate through the text stream to create a typewriter effect as the agent responds - The complete response is added to conversation history to maintain context - Errors are caught and displayed with helpful retry suggestions ```typescript rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Complete Code ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["lemon_squeezy"], }); const mcpUrl = session.mcp.url; const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to lemon_squeezy, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Conclusion You've successfully built a Lemon squeezy agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback. Key features of this implementation: - Real-time streaming responses for a better user experience with typewriter effect - Live tool execution feedback showing which tools are being used as the agent works - Dynamic tool loading through Composio's Tool Router with secure authentication - Multi-step tool execution with configurable step limits (up to 10 steps) - Comprehensive error handling for robust agent execution - Conversation history maintenance for context-aware responses You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows. ## How to build Lemon squeezy MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/lemon_squeezy/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/lemon_squeezy/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/lemon_squeezy/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/lemon_squeezy/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/lemon_squeezy/framework/codex) - [OpenClaw](https://composio.dev/toolkits/lemon_squeezy/framework/openclaw) - [Hermes](https://composio.dev/toolkits/lemon_squeezy/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/lemon_squeezy/framework/cli) - [Google ADK](https://composio.dev/toolkits/lemon_squeezy/framework/google-adk) - [LangChain](https://composio.dev/toolkits/lemon_squeezy/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/lemon_squeezy/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/lemon_squeezy/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/lemon_squeezy/framework/crew-ai) ## Related Toolkits - [Addresszen](https://composio.dev/toolkits/addresszen) - Addresszen is a real-time address autocomplete and verification service. It helps capture accurate, deliverable addresses with instant suggestions and validation. - [Asin data api](https://composio.dev/toolkits/asin_data_api) - Asin data api gives you detailed, real-time product data from Amazon, including price, rank, and reviews. Perfect for e-commerce pros and data-driven marketers who need instant marketplace insights. - [Baselinker](https://composio.dev/toolkits/baselinker) - BaseLinker is an all-in-one e-commerce management platform connecting stores, marketplaces, carriers, and more. It streamlines order processing, inventory control, and automates your sales operations. - [Bestbuy](https://composio.dev/toolkits/bestbuy) - Best Buy is a leading retailer offering APIs for product, store, and recommendation data. Instantly access up-to-date retail insights for smarter shopping and decision-making. - [Btcpay server](https://composio.dev/toolkits/btcpay_server) - BTCPay Server is a free, open-source, self-hosted Bitcoin payment processor. It lets merchants accept Bitcoin payments directly, cutting out middlemen and boosting privacy. - [Cdr platform](https://composio.dev/toolkits/cdr_platform) - Cdr platform is an API for purchasing carbon dioxide removal services. It enables businesses to offset emissions by accessing verified carbon removal projects. - [Cloudcart](https://composio.dev/toolkits/cloudcart) - CloudCart is an e-commerce platform for building and managing online stores. It helps businesses streamline product listings, orders, and customer engagement. - [Countdown api](https://composio.dev/toolkits/countdown_api) - Countdown API gives you real-time, structured eBay product data, reviews, and seller feedback. Perfect for powering price monitoring, product research, or marketplace analytics workflows. - [Dpd2](https://composio.dev/toolkits/dpd2) - Dpd2 is a robust email management platform for handling, sorting, and automating email workflows. Streamline your communications and boost productivity with advanced sorting, labeling, and response tools. - [Finerworks](https://composio.dev/toolkits/finerworks) - FinerWorks is an online platform for fine art and photo printing services. Artists and photographers use it to order custom prints and manage print inventory efficiently. - [Fingertip](https://composio.dev/toolkits/fingertip) - Fingertip is a business management platform for selling, booking, and customer engagement—all from a single link. It helps businesses streamline operations and connect with customers across social channels. - [Fraudlabs pro](https://composio.dev/toolkits/fraudlabs_pro) - FraudLabs Pro is an online payment fraud detection service for e-commerce and merchants. It helps minimize chargebacks and revenue loss by detecting and preventing fraudulent transactions. - [Gift up](https://composio.dev/toolkits/gift_up) - Gift Up! is a digital platform for selling, managing, and redeeming gift cards online. It streamlines promotions and gift card transactions for businesses and their customers. - [Goody](https://composio.dev/toolkits/goody) - Goody is a gifting platform that lets users send gifts and physical products without handling logistics. It streamlines gifting by managing delivery, fulfillment, and recipient experience. - [Gumroad](https://composio.dev/toolkits/gumroad) - Gumroad is a platform for selling digital products, physical goods, and memberships with a simple checkout and marketing tools. It streamlines creator payouts and helps you grow your audience effortlessly. - [Instacart](https://composio.dev/toolkits/instacart) - Instacart is an online grocery delivery and pickup service platform. It lets you discover local retailers and create shoppable lists and recipes with ease. - [Junglescout](https://composio.dev/toolkits/junglescout) - Junglescout is an Amazon product research and analytics platform for sellers. It delivers sales estimates, competitive insights, and optimization tools to boost your Amazon business. - [Ko fi](https://composio.dev/toolkits/ko_fi) - Ko-fi is a platform that lets creators receive donations, memberships, and sales from fans. It helps creators monetize their work and grow their audience with minimal friction. - [Loyverse](https://composio.dev/toolkits/loyverse) - Loyverse is a point-of-sale (POS) platform for small businesses, offering tools for sales, inventory, and customer loyalty. It helps streamline retail operations and boost customer engagement. - [Memberstack](https://composio.dev/toolkits/memberstack) - Memberstack lets you add user authentication, payments, and member management to your website—no backend code required. Easily manage your site's members and subscriptions from a single platform. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Lemon squeezy MCP? With a standalone Lemon squeezy MCP server, the agents and LLMs can only access a fixed set of Lemon squeezy tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Lemon squeezy and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Vercel AI SDK v6? Yes, you can. Vercel AI SDK v6 fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Lemon squeezy tools. ### Can I manage the permissions and scopes for Lemon squeezy while using Tool Router? Yes, absolutely. You can configure which Lemon squeezy scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do. ### How safe is my data with Composio Tool Router? All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Lemon squeezy data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)