# study-buddy

> study-buddy — eshitakundu-study-buddy. Use this tool when you need to organize and review your study materials efficiently, as it provides structured access to notes and past papers, and offers features like topic discovery, personalized teaching, and mastery tracking. It solves problems of disorganized study materials and ineffective learning methods by providing a comprehensive and interactive learning platform. Ideal for students seeking to streamline their study process and improve retention, with inputs including notes and past papers, and outputs including personalized lessons and mastery reports.

Canonical page: https://skillsregistry.net/skills/eshitakundu-study-buddy  
JSON: https://api.skillsregistry.net/v1/skills/eshitakundu-study-buddy

## Description

An MCP server that gives Claude Desktop structured access to your notes and past papers. Discovers topics, teaches in any style, quizzes you on grounded content, extracts PYQ patterns, and tracks mastery in local SQLite. Built with the official MCP Python SDK + FastMCP.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/eshitakundu/study-buddy)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "eshitakundu-study-buddy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eshitakundu-study-buddy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eshitakundu-study-buddy/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt