Name: SamuelGTV1/Hub_Studio_Mcp_Server
Rating: 3.0 (1 reviews)
Author: SamuelGTV1

SamuelGTV1/Hub_Studio_Mcp_Server

Score: 49.6 Rank #78

Model Context Protocol (MCP) server for Study Hub: Connect your local-first student data to Claude Desktop for context-aware AI tutoring

Overview

SamuelGTV1/Hub_Studio_Mcp_Server is a Python MCP server. Model Context Protocol (MCP) server for Study Hub: Connect your local-first student data to Claude Desktop for context-aware AI tutoring

Ranked #78 out of 104 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python No license

Score Breakdown

Stars 15% 1

1 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

Forks 0

Description Good

License None

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

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Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 1
Dependents: —
Language: Python
License: —
Last Commit: 1d ago

Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

From the README

# StudyHub MCP Server

An open-source Model Context Protocol (MCP) server that connects your local Study Hub backup JSON to Claude Desktop, turning Claude into a context-aware, personalized study tutor.

## What this is
Study Hub is local-first, so desktop AI apps cannot read its data directly. This server bridges the gap by loading your exported JSON backup and exposing MCP tools and prompts that Claude can call.

## Why it matters
- Uses your real tasks, flashcards, streaks, and schedule to produce practical guidance.
- Keeps data local to your machine. Nothing is uploaded by this server.
- Adds one-click MCP prompts that trigger multi-tool reasoning flows.

## Features
- Context-aware tools for profile, tasks, flashcards, pomodoros, schedule, and missions.
- Built-in MCP prompts like `plan_my_day` and `review_my_flashcards`.
- Clear error messages when the backup file is missing or invalid.

## Quickstart
1. Export your data from Study Hub (Settings > Export Data) to get `CampusFlow

Read full README on GitHub →