How do I get a Google Classroom access token?

Go to [Google Cloud Console](https://console.cloud.google.com/), 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.

Google Classroom MCP Server for LangChain 14 tools — connect in under 2 minutes

Name: Google Classroom
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 14 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Google Classroom through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "google-classroom": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Google Classroom, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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.

LangChain's ecosystem of 500+ components combines seamlessly with Google Classroom through native MCP adapters. Connect 14 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Google Classroom MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 14 tools from Google Classroom via MCP

Why Use LangChain with the Google Classroom MCP Server

LangChain provides unique advantages when paired with Google Classroom through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Google Classroom MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Google Classroom queries for multi-turn workflows

Google Classroom + LangChain Use Cases

Practical scenarios where LangChain combined with the Google Classroom MCP Server delivers measurable value.

RAG with live data: combine Google Classroom tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Google Classroom, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Google Classroom tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Google Classroom tool call, measure latency, and optimize your agent's performance

Google Classroom MCP Tools for LangChain (14)

These 14 tools become available when you connect Google Classroom to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Google Classroom to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Google Classroom + LangChain FAQ

Common questions about integrating Google Classroom MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.