google_classroom-automation

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Automate Google Classroom tasks via Rube MCP (Composio): course management, assignments, student rosters, and announcements. Always search tools first for current schemas.

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npx skill4agent add composiohq/awesome-claude-skills google_classroom-automation

Google Classroom Automation via Rube MCP

Automate Google Classroom operations through Composio's Google Classroom toolkit via Rube MCP.

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.
  1. Verify Rube MCP is available by confirming
    RUBE_SEARCH_TOOLS
    responds
  2. Call
    RUBE_MANAGE_CONNECTIONS
    with toolkit
    google_classroom
  3. If connection is not ACTIVE, follow the returned auth link to complete setup
  4. Confirm connection status shows ACTIVE before running any workflows

Tool Discovery

Always discover available tools before executing workflows:
RUBE_SEARCH_TOOLS: queries=[{"use_case": "course management, assignments, student rosters, and announcements", "known_fields": ""}]
This returns:
  • Available tool slugs for Google Classroom
  • Recommended execution plan steps
  • Known pitfalls and edge cases
  • Input schemas for each tool

Core Workflows

1. Discover Available Google Classroom Tools

RUBE_SEARCH_TOOLS:
  queries:
    - use_case: "list all available Google Classroom tools and capabilities"
Review the returned tools, their descriptions, and input schemas before proceeding.

2. Execute Google Classroom Operations

After discovering tools, execute them via:
RUBE_MULTI_EXECUTE_TOOL:
  tools:
    - tool_slug: "<discovered_tool_slug>"
      arguments: {<schema-compliant arguments>}
  memory: {}
  sync_response_to_workbench: false

3. Multi-Step Workflows

For complex workflows involving multiple Google Classroom operations:
  1. Search for all relevant tools:
    RUBE_SEARCH_TOOLS
    with specific use case
  2. Execute prerequisite steps first (e.g., fetch before update)
  3. Pass data between steps using tool responses
  4. Use
    RUBE_REMOTE_WORKBENCH
    for bulk operations or data processing

Common Patterns

Search Before Action

Always search for existing resources before creating new ones to avoid duplicates.

Pagination

Many list operations support pagination. Check responses for
next_cursor
or
page_token
and continue fetching until exhausted.

Error Handling

  • Check tool responses for errors before proceeding
  • If a tool fails, verify the connection is still ACTIVE
  • Re-authenticate via
    RUBE_MANAGE_CONNECTIONS
    if connection expired

Batch Operations

For bulk operations, use
RUBE_REMOTE_WORKBENCH
with
run_composio_tool()
in a loop with
ThreadPoolExecutor
for parallel execution.

Known Pitfalls

  • Always search tools first: Tool schemas and available operations may change. Never hardcode tool slugs without first discovering them via
    RUBE_SEARCH_TOOLS
    .
  • Check connection status: Ensure the Google Classroom connection is ACTIVE before executing any tools. Expired OAuth tokens require re-authentication.
  • Respect rate limits: If you receive rate limit errors, reduce request frequency and implement backoff.
  • Validate schemas: Always pass strictly schema-compliant arguments. Use
    RUBE_GET_TOOL_SCHEMAS
    to load full input schemas when
    schemaRef
    is returned instead of
    input_schema
    .

Quick Reference

OperationApproach
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
schemaRef