# learning-assistant-mcp

> Use this tool when you need to optimize your study schedule and retain information more effectively. It solves problems of forgetfulness and inefficient study habits by utilizing spaced repetition and syncing with Obsidian notes. The tool takes in notes and commute data as inputs and outputs a personalized study schedule, ideal for use during daily commutes or dedicated study sessions.

Canonical page: https://skillsregistry.net/skills/wysernils04-learning-assistant-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wysernils04-learning-assistant-mcp

## Description

A spaced-repetition study scheduler that syncs with Obsidian notes and uses SBB commute data to optimize study slots.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bqos5jllpd)
- **Repository:** <https://github.com/wysernils04/learning-assistant-mcp>

## 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": "wysernils04-learning-assistant-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wysernils04-learning-assistant-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wysernils04-learning-assistant-mcp/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