LoseIt local MCP

A local pipeline: Playwright scrapes your LoseIt data daily → stores it in SQLite → an MCP server reads it into Claude Desktop. There is no public LoseIt API, so this reads your own account through the web UI and keeps the data on your machine. The scraper may need updates if LoseIt changes their site.

License: MIT (see LICENSE).

Dependency updates

Dependabot opens weekly PRs for Python packages and GitHub Actions, plus security updates as they appear. CI runs the unit tests on every PR (including Dependabot’s). When that CI run succeeds, a separate workflow auto-approves and squash-merges Dependabot PRs — so broken bumps never merge, and tests are only defined in one place. Re-run pip install -r requirements.txt (and playwright install chromium after Playwright bumps) on machines that already have a checkout.

Privacy note

Session cookies, SQLite food/weight history, and logs live under ~/.loseit-data/ (outside this repo). Do not commit that directory, any state.json, or *.db files. The included .gitignore is set up to keep them out.

1. Install dependencies

cd /path/to/loseit-mcp-local
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
playwright install chromium

2. Log in once (saves your session)

python src/scraper.py login

A real browser window opens. Log into LoseIt manually (this sidesteps any CAPTCHA/bot-check LoseIt might show, since it's genuinely you clicking). Once you're on your dashboard, go back to the terminal and press Enter. Your session is saved to ~/.loseit-data/state.json.

3. Run the scraper

Selectors in src/scraper.py were captured against LoseIt's GWT web UI and will break when that DOM changes. If a run fails after a LoseIt deploy, re-record with:

playwright codegen --load-storage=~/.loseit-data/state.json https://www.loseit.com

…and update the locators in src/scraper.py.

Test on a small range first, with a visible browser:

python src/scraper.py run --since 2026-07-10 --headed

Check the data landed correctly:

sqlite3 ~/.loseit-data/loseit.db "SELECT * FROM daily_summary ORDER BY date DESC LIMIT 5;"

Headless (how the scheduled job runs):

python src/scraper.py run

4. Schedule the daily run (+ optional email alerts)

Two launchd jobs (macOS):

Job	When	What
com.loseit-mcp.scraper	06:00	Scrape via scripts/run-scraper.sh. On failure, emails you if configured. On success, writes ~/.loseit-data/last_success.
com.loseit-mcp.scraper-health	12:00	If last_success is older than 36h (or missing and DB is stale), emails a STALE alert (at most once per day) if configured.

Alerts use the local mail command and only send when LOSEIT_ALERT_EMAIL is set. Install the agents (paths are filled in from this checkout — nothing machine-specific is stored in the repo):

# recommended: pass your alert address at install time
bash scripts/install-launchd.sh --email you@example.com

# or without email (failures only show up in local logs)
bash scripts/install-launchd.sh

install-launchd.sh copies the shell wrappers to ~/.loseit-data/bin/ and points launchd at those copies. macOS TCC blocks launchd from executing scripts under ~/Documents (Python in the project tree is fine). Re-run the installer after you edit the scripts so the copies stay in sync.

Test immediately:

launchctl start com.loseit-mcp.scraper
tail -f ~/.loseit-data/logs/scraper.log

Test the health check:

launchctl start com.loseit-mcp.scraper-health
# or: bash scripts/health-check.sh

Uninstall:

bash scripts/uninstall-launchd.sh

5. Wire the MCP server into Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (merge into mcpServers if the file already has other entries). Use the absolute path to this checkout:

{
  "mcpServers": {
    "loseit": {
      "command": "/ABSOLUTE/PATH/TO/loseit-mcp-local/.venv/bin/python",
      "args": ["/ABSOLUTE/PATH/TO/loseit-mcp-local/src/loseit_mcp.py"]
    }
  }
}

Fully quit and reopen Claude Desktop. You should see 4 tools under a loseit connector: get_daily_summary, get_food_log, get_weight_history, get_water_log.

Notes

• The MCP server only ever reads local SQLite — it never talks to LoseIt itself. All the network activity is in scraper.py, run on its own schedule.
• Scope: daily summary (including aggregate exercise calories burned), food log, weight, and water. Individual exercise entries are not scraped.
• Persistent logs live under ~/.loseit-data/logs/. Success stamp: ~/.loseit-data/last_success.
• Session cookies can expire or get invalidated; if run starts failing across the board, redo step 2 (python src/scraper.py login).