# How to integrate Classmarker MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Classmarker MCP with Vercel AI SDK v6", "toolkit": "Classmarker", "toolkit_slug": "classmarker", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/classmarker/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/classmarker/framework/ai-sdk.md", "updated_at": "2026-05-12T10:06:19.859Z" } ``` ## Introduction This guide walks you through connecting Classmarker to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Classmarker agent that can add student to biology exam access list, create a new question for math quiz, delete user account for withdrawn student through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Classmarker account through Composio's Classmarker MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Classmarker with - [OpenAI Agents SDK](https://composio.dev/toolkits/classmarker/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/classmarker/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/classmarker/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/classmarker/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/classmarker/framework/codex) - [OpenClaw](https://composio.dev/toolkits/classmarker/framework/openclaw) - [Hermes](https://composio.dev/toolkits/classmarker/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/classmarker/framework/cli) - [Google ADK](https://composio.dev/toolkits/classmarker/framework/google-adk) - [LangChain](https://composio.dev/toolkits/classmarker/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/classmarker/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/classmarker/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/classmarker/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Classmarker integration - Using Composio's Tool Router to dynamically load and access Classmarker 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 Classmarker MCP server, and what's possible with it? The Classmarker MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Classmarker account. It provides structured and secure access to your quiz management tools, so your agent can create tests, manage users and groups, add questions, and control access codes—without manual intervention. - Automated user and group management: Let your agent create new users, add them to groups, or delete users and groups for streamlined participant organization. - Dynamic question and category creation: Instruct your agent to add new questions or categories to your exams, helping you build tests faster and keep content organized. - Access code and permissions control: Enable your agent to generate, assign, or delete access codes for specific exams, giving or revoking test access instantly as needed. - Test link and API key management: Allow your agent to manage test links or revoke API keys to maintain secure and up-to-date exam distribution. - Efficient data cleanup: Ask your agent to remove users, groups, test links, or access codes, keeping your Classmarker account tidy and up to date with minimal effort. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `CLASSMARKER_CREATE_ACCESS_LIST_ITEM` | Create Access List Item | Tool to add one or more access codes to an access list. Use after obtaining a valid access_list_id to grant exam access. | | `CLASSMARKER_CREATE_CATEGORY` | Create a new question category | Tool to create a new question category. Use after confirming the parent category ID. | | `CLASSMARKER_CREATE_GROUP` | Create Group | Tool to create a new group. Use when you need to organize users into a specific group after planning your user structure. | | `CLASSMARKER_CREATE_QUESTION` | Create Question | Tool to create a new question with specified text, type, and category in ClassMarker. Supports multiplechoice, multipleresponse, truefalse, and essay question types. | | `CLASSMARKER_CREATE_USER` | Create ClassMarker User | Tool to create a new user in ClassMarker. Use after gathering user details to provision accounts. Provide user info and optional group assignments. Returns the complete API response. | | `CLASSMARKER_DELETE_ACCESS_LIST_ITEM` | Delete Access List Item | Removes one or more access codes from a ClassMarker access list. Access lists are used to control exam access by requiring users to provide unique identifiers (e.g., email addresses, employee IDs, student numbers). Each code can be used a limited number of times per exam, and codes are recorded with exam results. To use this action: 1. First call GET_ALL_GROUPS_LINKS_EXAMS to find available access list IDs 2. Provide the access_list_id and the list of codes to remove 3. Up to 100 codes can be removed per request Note: This action is idempotent - deleting codes that don't exist will not cause an error. | | `CLASSMARKER_DELETE_API_KEY` | Delete API Key | Tool to delete an API key by its ID. Use when you need to revoke an API key immediately. | | `CLASSMARKER_DELETE_GROUP` | Delete Group | Tool to delete a group by its ID. Use when you need to remove a group from ClassMarker. | | `CLASSMARKER_DELETE_TEST_LINK` | Delete Test Link | Deletes a specific link assignment from a test/exam in ClassMarker. Links are unique URLs that provide access to tests. This action is idempotent - deleting a non-existent link returns success. Use this when you need to remove a link from a test to revoke access via that specific URL. | | `CLASSMARKER_DELETE_USER` | Delete User | Tool to delete a specific user by ID. Use when you need to remove a user from ClassMarker after verifying the user's identity. | | `CLASSMARKER_DELETE_WEBHOOK` | Delete Webhook | Deletes a webhook listener from your ClassMarker account. This action removes a webhook configuration that was previously set up to receive real-time exam results. The ClassMarker API is idempotent - attempting to delete a non-existent webhook will return success without error. Webhook IDs are typically obtained from the ClassMarker web interface (My Account > Webhooks / API Keys) or through other webhook management tools if available. Note: This is a destructive operation and cannot be undone through the API. | | `CLASSMARKER_GET_GROUP_DETAILS` | Get Group Details | Retrieve detailed information about a specific group by ID. Returns group name and assigned tests. Note: This fetches all accessible groups and filters for the specified group_id, as ClassMarker API doesn't provide a direct single-group endpoint. | | `CLASSMARKER_GET_INITIAL_FINISHED_AFTER_TIMESTAMP` | Get Initial Finished After Timestamp | Compute the initial finishedAfterTimestamp for paginating ClassMarker test results. Use this action when you need to retrieve recent test results for the first time and don't have a previous 'next_finished_after_timestamp' value. This returns a Unix timestamp set to 2 weeks ago, which is the ClassMarker API's default starting point for result pagination. **When to use this:** - Starting a new pagination sequence for test results - You don't have a stored 'next_finished_after_timestamp' from a previous request **When NOT to use this:** - You have a 'next_finished_after_timestamp' from a previous response - use that value instead - For subsequent pagination requests - use the timestamp from the last successful response **Important:** ClassMarker API requires the finishedAfterTimestamp to be less than 3 months old. This action ensures compliance by setting it to 2 weeks ago. | | `CLASSMARKER_GET_QUESTION` | Get Question | Tool to retrieve a specific question by its ID. Use when you need detailed information of a question after confirming the question_id. | | `CLASSMARKER_GET_RECENT_RESULTS_GROUP_EXAM` | Get Recent Results For Group Exam | Tool to fetch recent test results for a specific group and exam. Use after determining a UNIX timestamp to retrieve only results finished after that time for the group and exam. | | `CLASSMARKER_GET_RECENT_RESULTS_LINK_EXAM` | Get Recent Results Link Exam | Fetch recent exam results for a specific link and test combination. Use CLASSMARKER_GET_ALL_GROUPS_LINKS_EXAMS first to obtain valid link_id and test_id values. This endpoint returns paginated results based on finishedAfterTimestamp for efficient incremental data retrieval. Supports up to 200 results per request. | | `CLASSMARKER_GET_TEST_DETAILS` | Get Test Details | Retrieves detailed information for a specific test (exam) including its name and all assignment contexts. Returns a list of groups and/or links where the test is assigned, with their IDs, names, and URL identifiers. Use when you need to find where a specific test is deployed or to get the complete deployment context for a test. Returns 'no_results' status if test ID doesn't exist. | | `CLASSMARKER_GET_USER_DETAILS` | Get User Details | Tool to retrieve detailed information about a specific user. Use after you have the user's ID and need the full user profile. | | `CLASSMARKER_LIST_CATEGORIES` | List Question Categories | Retrieves all question categories organized in a hierarchical structure. Returns parent categories with their nested sub-categories. Use this to browse available categories before creating questions or filtering content. | | `CLASSMARKER_LIST_CERTIFICATES` | List Certificates | Tool to list all certificates. Use when you need to retrieve all certificates available in the account. | | `CLASSMARKER_LIST_QUESTIONS` | List Questions | Retrieve a paginated list of questions from your question bank. Returns up to 200 questions per page. Use the optional 'page' parameter to navigate through multiple pages. Each question includes type, content, points, options, correct answers, and metadata. | | `CLASSMARKER_LIST_RECENT_RESULTS_FOR_GROUPS` | List Recent Results For Groups | Retrieve recent exam results for all groups in your ClassMarker account. Returns results from the last 2 weeks by default, or from a specified timestamp (must be within 3 months). Use this to fetch user performance data including scores, pass/fail status, and certificates. | | `CLASSMARKER_LIST_RECENT_RESULTS_FOR_LINKS` | List Recent Results for Links | Retrieves recent test results from ALL links accessible to your API key. Returns results completed after a specified timestamp (defaults to 2 weeks ago). Supports pagination for large result sets (max 200 per request). Use the next_finished_after_timestamp from the response for subsequent requests to fetch newer results without duplicates. Ideal for syncing or monitoring exam completions across all your test links. | | `CLASSMARKER_LIST_USERS` | List Users | Tool to list all users. Use when you need to retrieve every user in your account after confirming authentication. | | `CLASSMARKER_LIST_WEBHOOKS` | List Webhooks | Tool to retrieve all configured webhooks. Use when you need to programmatically list your webhook configurations. | | `CLASSMARKER_PUT_CATEGORY` | Update Sub-Category | Tool to update an existing sub-category. Use when you need to rename or move a sub-category after confirming its IDs. | | `CLASSMARKER_PUT_PARENT_CATEGORY` | Update an existing parent category | Tool to update an existing parent category. Use after confirming the parent category ID. | | `CLASSMARKER_PUT_QUESTION` | Update Question | Updates an existing question in the ClassMarker question bank. IMPORTANT CONSTRAINTS: - Cannot change the question_type of an existing question (must match original) - random_answers is only valid for multiplechoice and multipleresponse types - grade_style is only valid for multipleresponse type - options and correct_options are required for multiplechoice, multipleresponse, and truefalse - essay questions cannot have options, correct_options, or grade_style Set verify_only=True to validate changes without applying them. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Classmarker MCP server is an implementation of the Model Context Protocol that connects your AI agent to Classmarker. It provides structured and secure access so your agent can perform Classmarker 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 Classmarker 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 Classmarker-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: ["classmarker"], }); 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 Classmarker 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 classmarker, 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 Classmarker 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: ["classmarker"], }); 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 classmarker, 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 Classmarker 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 Classmarker MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/classmarker/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/classmarker/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/classmarker/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/classmarker/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/classmarker/framework/codex) - [OpenClaw](https://composio.dev/toolkits/classmarker/framework/openclaw) - [Hermes](https://composio.dev/toolkits/classmarker/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/classmarker/framework/cli) - [Google ADK](https://composio.dev/toolkits/classmarker/framework/google-adk) - [LangChain](https://composio.dev/toolkits/classmarker/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/classmarker/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/classmarker/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/classmarker/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. 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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. - [Memberspot](https://composio.dev/toolkits/memberspot) - Memberspot is an online course and video-hosting platform for business learning. It helps teams manage, deliver, and track knowledge efficiently. - [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 Classmarker MCP? With a standalone Classmarker MCP server, the agents and LLMs can only access a fixed set of Classmarker tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Classmarker 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 Classmarker tools. ### Can I manage the permissions and scopes for Classmarker while using Tool Router? Yes, absolutely. You can configure which Classmarker 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 Classmarker data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)