Track Student Progress Automatically via MCP.
Failing grades detected, parents notified, progress tracker updated , your AI agent runs academic intervention
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent pulls grade data from every Moodle course , individual assignment scores, quiz results, overall course completion percentage.
It flags any student below a threshold you define (e.g., below 60% or 2+ missed assignments). For each flagged student, it writes a row to a Google Sheet with the student name, course, current grade, missing assignments and trend direction (improving or declining).
Then it checks Gmail for recent communication threads with that student's parent or guardian email. If no thread exists in the last 30 days, it flags the student as 'needs outreach.' The result: a prioritized intervention list backed by real grade data, not teacher intuition alone.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Moodle, Gmail and Google Sheets MCP servers so your AI agent monitors student grades and course completion, flags at-risk students, updates a progress tracker in Google Sheets, and checks Gmail for existing parent communication threads. Academic intervention starts before anyone files a report.
Moodle
triggerReads grades, course completion and assignment data
get_course_grades get_course_completion get_course_assignments get_enrolled_users Gmail
actionChecks for existing parent threads and flags follow-ups
find_emails_from_sender list_gmail_threads list_unread_emails Google Sheets
actionBuilds the at-risk student tracker with grade trends
append_sheet_values update_sheet_values create_spreadsheet get_spreadsheet Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own MCP
Turn any internal API into an MCP server. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Connect & Automate
The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- Moodle, Gmail & Google Sheets ready in the catalog right now
- Add more from 4,700+ servers whenever you need
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added every week
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 4,700+ MCP servers and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across every tool, in one conversation. That's what this infrastructure was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across every platform.
Contextual Reasoning
Every decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your MCP servers once, and your agent handles the rest. Every time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius MCP catalog to handle these for you. You describe what you need. It does the rest.
School administrators running Moodle for 500+ students who need weekly at-risk reports without manual grade extraction
Department heads tracking course completion rates across 20+ Moodle courses per semester
Student success coordinators who need to identify which parents haven't been contacted about declining grades
Online learning programs using Moodle where student disengagement signals are hidden inside assignment completion data
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Moodle, Gmail and Google Sheets. Connect all three to your AI client before running any prompt from this page.
Does this work with Claude Desktop, Cursor or Windsurf?
Yes. Any AI client that supports the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others. Connect the MCP servers and paste a prompt.
Can I change the at-risk threshold?
Your prompt controls the criteria. Set it to 50%, 65%, or any number. Add conditions like 'flag students who haven't submitted anything in 7 days' , the agent follows whatever rules you define.
Does this work for multiple Moodle courses at once?
Yes. The agent pulls grades from all courses the connected account has access to. You can also filter by specific courses or categories in your prompt.
Is student data secure?
MCP servers authenticate through API tokens. Your agent only sees courses and students your Moodle account has permission to access. Vinkius does not store your data.
Does the agent send emails to parents automatically?
No. The agent checks Gmail for existing threads and flags gaps. It does not send emails on its own , you decide when and how to reach out based on the report it builds.
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MCP servers used in this workflow
Moodle
Moodle MCP Server connects your AI agent directly to your Moodle Learning Management System (LMS). You get instant access to course structure, user rosters, assignment grades, and completion status without navigating the Moodle UI. Use tools like `get_course_grades` or `get_enrolled_users` to pull detailed academic data—perfect for automated reporting, student outreach, or quick administrative checks.
Gmail
Gmail MCP Server lets your AI agent manage your entire inbox. Read full threads, search with advanced queries (like `from:boss@company.com is:unread`), draft responses, and label messages without leaving your IDE or chat client. It gives your agent the power to read, filter, and act on your email history directly.
Google Sheets
Google Sheets MCP Server lets your AI client read, write, and manage data directly in Google Sheets. Use conversational commands to pull data from specific ranges, append new rows, or structure entire spreadsheets. It acts as an analyst, letting you manipulate complex data without opening the GUI or writing formulas.