# How to integrate Memberspot MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Memberspot MCP with Vercel AI SDK v6", "toolkit": "Memberspot", "toolkit_slug": "memberspot", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/memberspot/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/memberspot/framework/ai-sdk.md", "updated_at": "2026-05-12T10:18:42.518Z" } ``` ## Introduction This guide walks you through connecting Memberspot to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Memberspot agent that can list all users enrolled in a course, find a user by their email address, revoke access to a specific offer for a user through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Memberspot account through Composio's Memberspot MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Memberspot with - [OpenAI Agents SDK](https://composio.dev/toolkits/memberspot/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/memberspot/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/memberspot/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/memberspot/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/memberspot/framework/codex) - [OpenClaw](https://composio.dev/toolkits/memberspot/framework/openclaw) - [Hermes](https://composio.dev/toolkits/memberspot/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/memberspot/framework/cli) - [Google ADK](https://composio.dev/toolkits/memberspot/framework/google-adk) - [LangChain](https://composio.dev/toolkits/memberspot/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/memberspot/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/memberspot/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/memberspot/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Memberspot integration - Using Composio's Tool Router to dynamically load and access Memberspot 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 Memberspot MCP server, and what's possible with it? The Memberspot MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Memberspot account. It provides structured and secure access to your courses, users, and offers, so your agent can perform actions like managing users, automating enrollments, updating offer states, and retrieving key membership data on your behalf. - User management and lookup: Instantly find users by email, list all users, or remove users from your Memberspot platform without manual searching. - Automated login token generation: Have your agent generate one-hour login tokens for seamless and secure user access to your courses. - Offer and enrollment control: Let your agent fetch all available offers, activate or deactivate orders, and manage access to course offers for specific users. - Custom user property retrieval: Effortlessly list and access all defined custom user properties to enrich learner profiles and personalize experiences. - Bulk user and order updates: Enable your agent to efficiently update offer states or revoke access for multiple users at once, streamlining membership operations. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `MEMBERSPOT_CREATE_LOGIN_TOKEN` | Create Login Token | Tool to generate a one-hour login token for a user. Use when you need to auto-login a user by their UID (token expires after one hour). | | `MEMBERSPOT_DELETE_USERS` | Delete Users | Tool to delete one or more users from the platform. Use when you need to remove specified users by their email addresses. Only existing school users are removed; invalid or out-of-school emails are ignored. | | `MEMBERSPOT_DELETE_USERS_POST` | Delete Users (POST) | Tool to delete multiple users by email using POST method. Use this if your client does not support DELETE with body. Only existing school users are removed; invalid or out-of-school emails are ignored. | | `MEMBERSPOT_FIND_USER_BY_MAIL` | Find user by email | Tool to retrieve a user's details by their email address. Use when you need to look up a user after obtaining their email. | | `MEMBERSPOT_GET_USER_COURSE_PROGRESS` | Get user course progress | Tool to retrieve user course progress for a specific course and email. Use when you need to check how far a user has progressed through a particular course. Returns details including active posts, completed posts, and user information. Rate limited to 4 requests per second. | | `MEMBERSPOT_GRANT_USER_OFFER_BY_MAIL` | Grant user offer by email | Tool to grant a user access to an offer by email. If the user does not exist, a new user is created automatically. | | `MEMBERSPOT_LIST_CUSTOM_USER_PROPERTIES` | List custom user properties | Tool to list all defined custom user properties. Use when you need to retrieve metadata of custom user properties after authentication. | | `MEMBERSPOT_LIST_OFFERS` | List all offers | Retrieves all available offers (products/course bundles) from the Memberspot school. Use this to discover offer IDs before granting or revoking user access. Each offer contains course IDs it grants access to and metadata like priority and update time. No parameters required - returns all offers in the school. | | `MEMBERSPOT_LIST_USER_COURSE_PROGRESS` | List user course progress | Retrieves paginated list of all course progress for a specific user by email. Use to track user progress across all enrolled courses, including active and completed posts. Rate limited to 4 requests per second. | | `MEMBERSPOT_LIST_USERS` | List Users | List all users in your Memberspot school with optional filtering and pagination. Use this tool to: - Retrieve all users in your membership platform - Filter users by offer access, course enrollment, or active status - Paginate through large user lists using the nextPage token Returns user details including email, name, creation date, progress, and custom properties. Note: API rate limit is 4 requests per second. | | `MEMBERSPOT_SET_OFFER_EXPIRES` | Set offer expiration | Tool to set or remove the expiration date for an offer for a user. Use when you need to grant time-limited access to an offer or remove time limits from an existing offer. When no value is provided for expiresAt, the offer expiration will be removed. | | `MEMBERSPOT_SET_ORDER_STATE` | Set order state | Manages order-based offer access for a user in Memberspot. Use this to activate (grant access), deactivate (revoke access), or delete an order-based offer association. Order IDs typically come from payment providers (Stripe, Copecart, Digistore) after a purchase. | | `MEMBERSPOT_SET_USER_OFFER_STATE` | Set user offer state | Tool to revoke or set the state of a specific offer for a user. Use after confirming whether the user should gain or lose access. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Memberspot MCP server is an implementation of the Model Context Protocol that connects your AI agent to Memberspot. It provides structured and secure access so your agent can perform Memberspot 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 Memberspot 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 Memberspot-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: ["memberspot"], }); 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 Memberspot 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 memberspot, 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 Memberspot 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("\n๐Ÿ‘‹ 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: ["memberspot"], }); 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 memberspot, 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("\n๐Ÿ‘‹ Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Conclusion You've successfully built a Memberspot 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 Memberspot MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/memberspot/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/memberspot/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/memberspot/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/memberspot/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/memberspot/framework/codex) - [OpenClaw](https://composio.dev/toolkits/memberspot/framework/openclaw) - [Hermes](https://composio.dev/toolkits/memberspot/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/memberspot/framework/cli) - [Google ADK](https://composio.dev/toolkits/memberspot/framework/google-adk) - [LangChain](https://composio.dev/toolkits/memberspot/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/memberspot/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/memberspot/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/memberspot/framework/crew-ai) ## Related Toolkits - [Canvas](https://composio.dev/toolkits/canvas) - Canvas is a learning management system for online courses, assignments, grading, and collaboration. It's trusted by educators and students to streamline virtual classrooms and enhance digital learning. - [Accredible certificates](https://composio.dev/toolkits/accredible_certificates) - Accredible Certificates is a platform for creating and managing digital certificates, badges, and blockchain credentials. It streamlines issuing, tracking, and verifying professional achievements for organizations of any size. - [Api bible](https://composio.dev/toolkits/api_bible) - API.Bible is a developer platform for Scripture content and passage search. Easily integrate Bible verses and translations into your apps or chatbots. - [Blackboard](https://composio.dev/toolkits/blackboard) - Blackboard is a digital learning platform for higher education and schools, offering tools to manage courses, track engagement, and deliver interactive content. It helps institutions improve student outcomes through actionable analytics and in-app guidance. - [Certifier](https://composio.dev/toolkits/certifier) - Certifier is a platform for creating, managing, and issuing digital certificates and credentials. Organizations use it to automate and secure the entire credentialing process. - [Classmarker](https://composio.dev/toolkits/classmarker) - ClassMarker is a professional online quiz maker for business and education. It provides instant grading, flexible test design, and in-depth reporting. - [Coassemble](https://composio.dev/toolkits/coassemble) - Coassemble is a flexible platform for building, managing, and delivering online training courses. It helps teams streamline onboarding, upskilling, and ongoing learning for employees or partners. - [D2lbrightspace](https://composio.dev/toolkits/d2lbrightspace) - D2L Brightspace is a learning management system for delivering and managing online courses and assessments. It helps educators streamline digital teaching, assignments, and communication with students. - [Dictionary api](https://composio.dev/toolkits/dictionary_api) - Dictionary api is the Merriam-Webster API providing rich dictionary and thesaurus data for developers. Instantly access definitions, synonyms, etymologies, and audio pronunciations in your apps. - [Google Classroom](https://composio.dev/toolkits/google_classroom) - Google Classroom is a free web service for educators and students to manage assignments and communication. It streamlines classroom collaboration and grading, making teaching simpler and more connected. - [Lessonspace](https://composio.dev/toolkits/lessonspace) - Lessonspace is an online collaborative classroom platform offering video, whiteboards, and real-time interaction for educators and students. It streamlines remote teaching with integrated tools for engagement and communication. - [Linguapop](https://composio.dev/toolkits/linguapop) - Linguapop is a web platform for administering language placement tests in English, German, Spanish, Italian, and French. It helps schools and organizations efficiently manage multilingual assessments and analyze results. - [Membervault](https://composio.dev/toolkits/membervault) - Membervault is a platform for hosting courses, memberships, and digital products in one place. It helps you build stronger relationships with your audience by centralizing digital offers and customer engagement. - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options. - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide. - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Memberspot MCP? With a standalone Memberspot MCP server, the agents and LLMs can only access a fixed set of Memberspot tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Memberspot 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 Memberspot tools. ### Can I manage the permissions and scopes for Memberspot while using Tool Router? Yes, absolutely. You can configure which Memberspot 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 Memberspot data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)