Google Classroom MCP Server for LlamaIndex 14 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Google Classroom as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Google Classroom. "
"You have 14 tools available."
),
)
response = await agent.run(
"What tools are available in Google Classroom?"
)
print(response)
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.
LlamaIndex agents combine Google Classroom tool responses with indexed documents for comprehensive, grounded answers. Connect 14 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Google Classroom MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 14 tools from Google Classroom
Why Use LlamaIndex with the Google Classroom MCP Server
LlamaIndex provides unique advantages when paired with Google Classroom through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Google Classroom tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Google Classroom tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Google Classroom, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Google Classroom tools were called, what data was returned, and how it influenced the final answer
Google Classroom + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Google Classroom MCP Server delivers measurable value.
Hybrid search: combine Google Classroom real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Google Classroom to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Google Classroom for fresh data
Analytical workflows: chain Google Classroom queries with LlamaIndex's data connectors to build multi-source analytical reports
Google Classroom MCP Tools for LlamaIndex (14)
These 14 tools become available when you connect Google Classroom to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Google Classroom to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGoogle Classroom + LlamaIndex FAQ
Common questions about integrating Google Classroom MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Google Classroom with your favorite client
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Google Classroom to LlamaIndex
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.