Bring Classroom Management
to Mastra AI
Create your Vinkius account to connect Google Classroom to Mastra AI and start using all 14 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Google Classroom MCP Server?
Connect your Google Classroom to any AI agent and streamline your teaching workflows through natural conversation. Manage courses, create assignments, track student submissions, and grade work — all via AI commands.
What you can do
- Course Management — List, create, and update courses with full details
- Roster Tracking — List enrolled students and assigned teachers for any course
- Assignments — Create coursework, set due dates, and track all assignments
- Submission Monitoring — Check who turned in work, who's late, and who hasn't submitted
- Grading — Review individual submissions, return graded work to students
- Announcements — Post important updates to the course stream
How it works
- Subscribe to this server
- Enter your Google Classroom OAuth Access Token
- Start managing classes from Claude, Cursor, or any MCP client
Who is this for?
- Teachers — Quickly check submissions, create assignments, and post announcements
- Students — Track your submissions and check grades
- Administrators — Monitor course rosters and assignment completion across classes
Built-in capabilities (14)
Announcements appear in the course stream and can be used for important updates, reminders, or general communication. Post a new announcement to a Google Classroom course
Returns the new course ID for future reference. Only users with appropriate permissions can create courses. Create a new Google Classroom course
The assignment will be visible to all students in the course. Supports assignments, quizzes, and materials types. Create a new assignment or coursework in Google Classroom
Use the course ID obtained from list_courses. Get details of a specific Google Classroom course
Get a specific student's submission details
Use this to check recent course announcements and important updates. List all announcements in a Google Classroom course
Returns assignment title, due date, state (DRAFT/PUBLISHED), max points, and creation time. Use this to track all assignments and their deadlines. List all assignments and coursework for a Google Classroom course
Essential first step to identify which course to work with before querying students, assignments, or submissions. List all Google Classroom courses
Use this to check enrollment, identify students for grading, or verify class roster. List all students enrolled in a Google Classroom course
Returns student ID, submission state (NEW/CREATED/TURNED_IN/RETURNED), grade, and late status. List student submissions for a specific assignment
List all teachers of a Google Classroom course
This is typically done after the teacher has reviewed and graded the work. The student will be notified that their work has been returned. Return a graded assignment to the student
The student must have created the submission first. This is equivalent to clicking "Turn In" in the Classroom UI. Turn in a student's assignment submission
Requires the course ID and at least one field to update. Update an existing Google Classroom course
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Google Classroom tool infrastructure. Connect 14 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Google Classroom without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Google Classroom tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Google Classroom in Mastra AI
Why run Google Classroom with Vinkius?
The Google Classroom connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 14 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Google Classroom using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Google Classroom and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Google Classroom to Mastra AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Google Classroom for Mastra AI
Every request between Mastra AI and Google Classroom is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get a Google Classroom access token?
Go to Google Cloud Console, enable the Google Classroom API, create OAuth 2.0 credentials, and generate an access token with scopes: classroom.courses, classroom.rosters, classroom.profile. Use Google's OAuth Playground for quick testing.
Can I create and grade assignments?
Yes! Use create_course_work to create assignments with due dates and max points. Use list_submissions to see who turned in work, then get_submission to review individual student work. After grading, use return_submission to send it back to the student.
Can I manage student enrollment?
This MCP focuses on read-only operations for safety: listing students/teachers, viewing assignments, and tracking submissions. To add/remove students, use the Google Classroom web interface directly.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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