Google Classroom MCP Server for OpenAI Agents SDK 14 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Google Classroom through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Google Classroom Assistant",
instructions=(
"You help users interact with Google Classroom. "
"You have access to 14 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Google Classroom"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About 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.
The OpenAI Agents SDK auto-discovers all 14 tools from Google Classroom through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Google Classroom, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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
The Google Classroom MCP Server exposes 14 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Google Classroom to OpenAI Agents SDK via MCP
Follow these steps to integrate the Google Classroom MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 14 tools from Google Classroom
Why Use OpenAI Agents SDK with the Google Classroom MCP Server
OpenAI Agents SDK provides unique advantages when paired with Google Classroom through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Google Classroom + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Google Classroom MCP Server delivers measurable value.
Automated workflows: build agents that query Google Classroom, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Google Classroom, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Google Classroom tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Google Classroom to resolve tickets, look up records, and update statuses without human intervention
Google Classroom MCP Tools for OpenAI Agents SDK (14)
These 14 tools become available when you connect Google Classroom to OpenAI Agents SDK via MCP:
create_announcement
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
create_course
Returns the new course ID for future reference. Only users with appropriate permissions can create courses. Create a new Google Classroom course
create_course_work
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
get_course
Use the course ID obtained from list_courses. Get details of a specific Google Classroom course
get_submission
Get a specific student's submission details
list_announcements
Use this to check recent course announcements and important updates. List all announcements in a Google Classroom course
list_course_work
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
list_courses
Essential first step to identify which course to work with before querying students, assignments, or submissions. List all Google Classroom courses
list_students
Use this to check enrollment, identify students for grading, or verify class roster. List all students enrolled in a Google Classroom course
list_submissions
Returns student ID, submission state (NEW/CREATED/TURNED_IN/RETURNED), grade, and late status. List student submissions for a specific assignment
list_teachers
List all teachers of a Google Classroom course
return_submission
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
turn_in_submission
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
update_course
Requires the course ID and at least one field to update. Update an existing Google Classroom course
Example Prompts for Google Classroom in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Google Classroom immediately.
"List all my courses and show students in Math 101."
"Create an assignment called 'Chapter 5 Problems' due 2024-05-15 for course 12345, max 100 points."
"Show me who turned in the Chapter 5 assignment."
Troubleshooting Google Classroom MCP Server with OpenAI Agents SDK
Common issues when connecting Google Classroom to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Google Classroom + OpenAI Agents SDK FAQ
Common questions about integrating Google Classroom MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Google Classroom with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Google Classroom to OpenAI Agents SDK
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.
