Google Classroom Automation
This skill automates Google Classroom operations using the Composio Google Classroom toolkit via Rube MCP.
Install
npx promptshop add google-classroom-automationDetails
What This Skill Does
This skill automates Google Classroom operations using the Composio Google Classroom toolkit via Rube MCP. It's designed for educators and administrators looking to streamline classroom management tasks through automation.
When to Use
- Automate course creation.
- Manage student enrollments.
- Post announcements to multiple classes.
- Retrieve assignment details.
- Monitor student progress.
- Sync classroom data with other systems.
Key Features
- Automates Google Classroom tasks.
- Uses Rube MCP and Composio toolkit.
- Requires an active Google Classroom connection.
- Uses RUBE_SEARCH_TOOLS for tool discovery.
- Employs RUBE_MULTI_EXECUTE_TOOL for execution.
- Uses composio.
Manual Installation
Manual installation View Full Skill Content The complete markdown content that gets installed Google Classroom Automation via Rube MCP
Automate Google Classroom operations through Composio's Google Classroom toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/google_classroom
Prerequisites
Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Google Classroom connection via RUBE_MANAGE_CONNECTIONS with toolkit google_classroom Always call RUBE_SEARCH_TOOLS first to get current tool schemas
Setup
Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds Call RUBE_MANAGE_CONNECTIONS with toolkit google_classroom If connection is not ACTIVE, follow the returned auth link to complete setup Confirm connection status shows ACTIVE before running any workflows
Tool Discovery
Always discover available tools before executing workflows:
RUBE_SEARCH_TOOLS queries: [{use_case: "Google Classroom operations", known_fields: ""}] session: {generate_id: true}
This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.
Core Workflow Pattern
Step 1: Discover Available Tools
queries: [{use_case: "your specific Google Classroom task"}] session: {id: "existing_session_id"}
Step 2: Check Connection
RUBE_MANAGE_CONNECTIONS toolkits: ["google_classroom"] session_id: "your_session_id"
Step 3: Execute Tools
RUBE_MULTI_EXECUTE_TOOL tools: [{ tool_slug: "TOOL_SLUG_FROM_SEARCH", arguments: {/ schema-compliant args from search results /} }] memory: {}
Known Pitfalls
Always search first: Tool schemas change. Never hardcode tool slugs or arguments without calling RUBE_SEARCH_TOOLS Check connection: Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing tools Schema compliance: Use exact field names and types from the search results Memory parameter: Always include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty ({}) Session reuse: Reuse session IDs within a workflow. Generate new ones for new workflows Pagination: Check responses for pagination tokens and continue fetching until complete
Quick Reference
| Operation | Approach |
|---|---|
| Find tools | RUBE_SEARCH_TOOLS with Google Classroom-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit google_classroom |
| Execute | RUBE_MULTI_EXECUTE_TOOL with discovered tool slugs |
| Bulk ops | RUBE_REMOTE_WORKBENCH with run_composio_tool() |
| Full schema | RUBE_GET_TOOL_SCHEMAS for tools with schema Ref |