learning-assistant-mcp
A spaced-repetition study scheduler that syncs with Obsidian notes and uses SBB commute data to optimize study slots.
README
Learning Assistant MCP Server
A personal spaced-repetition learning assistant that runs as an MCP server. It schedules study sessions using the SM-2 algorithm, syncs scheduling state to your Obsidian vault's YAML frontmatter, and is aware of your SBB commute times to help you find optimal study slots.
How it works
flowchart TD
User([You]) -->|"finished a lecture /<br/>reviewed a topic /<br/>what should I study?"| Claude[Claude Desktop]
Claude <-->|MCP protocol| Server[Learning Assistant<br/>MCP Server]
subgraph Tools[" "]
direction LR
Write["log_lecture<br/>review_topic"]
Read["get_learning_queue<br/>get_streak"]
Plan["optimize_study_slots<br/>get_sbb_connection"]
Sync["resync_index"]
end
Server --- Tools
Write -->|"atomic dual-write"| Vault[("Obsidian Vault<br/>YAML frontmatter<br/><i>source of truth</i>")]
Write -->|"atomic dual-write"| DB[("SQLite<br/>.learning_index.db<br/><i>query cache + streak</i>")]
Read --> DB
Sync -->|"rebuild from notes"| Vault
Sync --> DB
Plan -->|"travel times"| SBB[["SBB OpenData API"]]
Read -.->|"due topics"| Plan
SM2{{"SM-2 scheduling<br/>interval · ease · next_review"}}
Write --- SM2
style Vault fill:#7c3aed,color:#fff
style DB fill:#0ea5e9,color:#fff
style Claude fill:#d97706,color:#fff
style SBB fill:#dc2626,color:#fff
style SM2 fill:#059669,color:#fff
- Obsidian vault is the source of truth — each topic is an Obsidian note; scheduling metadata lives in the YAML frontmatter.
- SQLite acts as a fast query cache and stores streak/cognitive-load state that has no per-note equivalent.
- Every write operation (
log_lecture,review_topic) updates both the note frontmatter and the SQLite row atomically.
Quick start
-
Clone and install
git clone https://github.com/wysernils04/learning-assistant-mcp.git cd learning-assistant-mcp python -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\activate pip install -r requirements.txt -
Add the server to Claude Desktop
Open
claude_desktop_config.jsonin a text editor:- Mac:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Add the following block (replace the paths with your own):
{ "mcpServers": { "learning-assistant": { "command": "/absolute/path/to/learning-assistant-mcp/.venv/bin/python", "args": ["/absolute/path/to/learning-assistant-mcp/learning_assistant_v3.py"], "env": { "OBSIDIAN_VAULT_PATH": "/absolute/path/to/your/obsidian/vault" } } } }The
envblock is all you need — no.envfile required for Claude Desktop. - Mac:
-
Restart Claude Desktop — the config is only read on startup.
-
Verify — open a new conversation and ask:
"What learning tools do you have access to?"
Claude should list all 7 tools (
log_lecture,review_topic,get_learning_queue,optimize_study_slots,get_sbb_connection,get_streak,resync_index). If it doesn't, double-check the file paths in the config and restart again.
Tools
| Tool | Description |
|---|---|
log_lecture |
Record a newly studied topic with an initial understanding score (0–5). Creates the Obsidian note if it doesn't exist. |
review_topic |
Log a review session and update the SM-2 interval, ease factor, and next-due date. |
get_learning_queue |
Return topics due for review today, sorted by priority. |
optimize_study_slots |
Given a list of calendar events and current energy level, suggest the best study windows — factoring in SBB travel times. |
get_sbb_connection |
Look up the next SBB connection between two stations. |
get_streak |
Return the current study streak and daily load summary. |
resync_index |
Rebuild the SQLite index from all notes in the vault. Use this if you edited notes manually in Obsidian or migrated existing notes. |
Configuration reference
| Variable | Required | Default | Description |
|---|---|---|---|
OBSIDIAN_VAULT_PATH |
Yes | — | Absolute path to your Obsidian vault root |
OBSIDIAN_LERNEN_DIR |
No | 📚 Lernen |
Subfolder inside the vault for learning notes |
LEARNING_DB_PATH |
No | <vault>/.learning_index.db |
Path for the SQLite cache |
SBB_API_BASE |
No | https://transport.opendata.ch/v1 |
SBB transport API base URL |
SBB_TRAVEL_FALLBACK_MIN |
No | 30 |
Fallback travel time in minutes if the API is unreachable |
Set these in the env block of claude_desktop_config.json (as shown in the quick start), or in a .env file next to the script if you want to run it directly from the command line.
Vault structure
The server creates and manages notes automatically — no manual folder setup required. The layout is:
<vault>/
└── 📚 Lernen/ ← OBSIDIAN_LERNEN_DIR
└── <Module>/ ← one folder per module (e.g. "Algebra")
└── <topic>.md ← one note per topic (slugified filename)
Each note gets the following YAML frontmatter written and kept up to date:
---
type: lernthema
module: Algebra
topic: Lineare Funktionen
understanding_score: 4
ease_factor: 2.5
interval: 4
repetitions: 1
next_review: "2026-06-17"
last_reviewed: "2026-06-13"
---
If you have existing notes you want to import, add type: lernthema to their frontmatter and run resync_index — the server will pick them up and fill in any missing fields with sensible defaults.
Usage with Claude Desktop
Scope it to a project
Rather than enabling this server globally, add it to a specific Claude Desktop project (e.g. "Studies"). That way the tools are only active when you're in that context and won't clutter other conversations.
System prompt
Add this to your project's system prompt so Claude uses the tools naturally without being asked:
You have access to a personal learning assistant (MCP server).
- When I tell you I finished a lecture or studied a topic, call log_lecture.
- When I say I reviewed or practiced something, call review_topic.
- When I ask what to study, call get_learning_queue.
- When I share my schedule for the day, call optimize_study_slots. Pass events as
["HH:MM-HH:MM description", ...] and ask for my energy level if I haven't mentioned it.
Always confirm the module and topic name before logging.
Memory keys
Tell Claude the following once (or put them in the system prompt) so it can fill in tool parameters without asking every time:
| Key | Example | Used by |
|---|---|---|
| Your modules | "My modules are: Algebra, Analysis, Physics" |
log_lecture, review_topic |
| Home station | "My home station is Zurich HB" |
optimize_study_slots, get_sbb_connection |
| School/work station | "My school station is Bern" |
optimize_study_slots, get_sbb_connection |
| Chronotype | "I'm a morning person" / "I have high energy in the afternoon" |
optimize_study_slots |
| Vault subfolder | "My learning folder is called 📚 Lernen" |
all vault tools (if you changed the default) |
SM-2 Scheduling
Understanding scores and quality scores both use a 0–5 scale:
- 0–2 — Poor recall; interval resets, ease factor decreases.
- 3 — Marginal; interval stays short.
- 4–5 — Good/perfect recall; interval and ease factor increase.
Initial intervals by understanding score: {0: 1d, 1: 1d, 2: 2d, 3: 2d, 4: 4d, 5: 6d}.
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