Multi-Agent Student Success Platform

Elevator pitch Specialized AI agents collaborate via MCP to coordinate learning, assignments, coding, placements, and productivity in one unified system.

Industry EdTech / Student Productivity

Problem

• Students juggle fragmented tools across notes, schedules, coding repos, and placement prep.
• Lack of coordinated guidance across academic and career readiness domains.

Solution

• MCP server centralizes access to notes, calendars, repositories, and resources for agent collaboration.
• Specialized agents share context in real time to deliver coordinated, multi-domain support.

Tools

• notes-retriever: Fetch and search student notes by subject or date range.
• schedule-manager: Query calendar events, deadlines, and time-block availability.
• repository-analyzer: Access coding repos, review commits, and suggest improvements.
• resource-recommender: Match learning materials and placement prep content to student goals.
• task-coordinator: Create, prioritize, and delegate assignments across agent workflows.

Widgets

• /dashboard: Real-time view of agent recommendations, upcoming deadlines, and progress metrics.
• /agent-chat: Multi-turn conversation interface for querying any agent specialization.

Conversation starters

• "Help me plan my week—what assignments are due and what coding practice should I prioritize?"
• "I have a placement interview next month. Create a prep roadmap using my notes and coding history."