Classmarker Automation via Rube MCP

SkillSearch

This connects your AI to your Classmarker account so it can create and manage online tests and quizzes for you. Once added, your AI can handle Classmarker tasks automatically instead of you doing them by hand.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Connect your Classmarker account, then ask your AI to list the Classmarker actions it currently has available. From there, you can simply describe the test or quiz you want and let your AI set it up.

Then ask your AI: use the Classmarker Automation via Rube MCP skill

What your AI can do with it

  • Create online tests and quizzes in your Classmarker account
  • Manage and update your existing Classmarker tests and quizzes
  • Handle routine Classmarker tasks automatically on your behalf

What this skill tells your AI

The instructions your AI receives, as published by composio-community/awesome-codex-skills in composio-skills/classmarker-automation/SKILL.md and read by ahel’s review.

Automate Classmarker operations through Composio's Classmarker toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/classmarker

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active Classmarker connection via RUBE_MANAGE_CONNECTIONS with toolkit classmarker
  • 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 classmarker
  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: "Classmarker 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

RUBE_SEARCH_TOOLS
queries: [{use_case: "your specific Classmarker task"}]
session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["classmarker"]
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: {}
session_id: "your_session_id"

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

OperationApproach
Find toolsRUBE_SEARCH_TOOLS with Classmarker-specific use case
ConnectRUBE_MANAGE_CONNECTIONS with toolkit classmarker
ExecuteRUBE_MULTI_EXECUTE_TOOL with discovered tool slugs
Bulk opsRUBE_REMOTE_WORKBENCH with run_composio_tool()
Full schemaRUBE_GET_TOOL_SCHEMAS for tools with schemaRef

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Last commit
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Item type
skill
Key
classmarker-automation
Source
github.com/composio-community/awesome-codex-skills