StraightOuttaVellore-Google/sahay-mcp-server
3.2
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A Python-based Model Context Protocol (MCP) server for comprehensive study data management, utilizing Firebase Firestore for data storage and retrieval.
Tools
Functions exposed to the LLM to take actions
eisenhower_get_tasks
Retrieve all tasks for a user.
eisenhower_save_tasks
Save or update task lists.
daily_data_get_monthly
Get daily data for a specific month.
daily_data_save
Save daily study data entry.
stats_monthly_overview
Get comprehensive monthly statistics.
pomodoro_get_analytics
Get Pomodoro session analytics.
pomodoro_save_session
Save a Pomodoro session.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client