loseit-mcp-local: Instructions file for Claude Code

CLAUDE.md

loseit-mcp-local CLAUDE.md is an instructions file for Claude Code from the-mace/loseit-mcp-local. It costs 1,421 tokens per session, scanned A, original, MIT.

Project instructions for a local MCP server that collects a user’s own Lose It diet-tracking data through browser automation, stores it in SQLite, and exposes read-only tools.

In plain words
What is it for?
Use them when changing or maintaining the personal food, weight, exercise, or daily-summary data pipeline.
Why use it?
They document the system’s lack of an official API and warn that scraping can break when the website changes.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions AGENTS.md.

This is the-mace/loseit-mcp-local's own configuration. It tells Claude Code how to work on loseit-mcp-local itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything loseit-mcp-local configures →

Reuse

Borrowing it

Nothing to install: this file belongs to the-mace/loseit-mcp-local. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/the-mace/loseit-mcp-local/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/the-mace/loseit-mcp-local

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 1,421 This file is loaded in full into every session.
When invoked 1,421 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.01421 $0.01421
Opus 5 $0.00711 $0.00711
Sonnet 5 $0.00284 $0.00284
Haiku 4.5 $0.00142 $0.00142

Measured 9d ago against content hash 44bb71538d7f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

loseit-mcp-local CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LoseIt Local MCP — Build Brief

Before starting any work

Dependabot may have auto-merged dependency/CI updates to main. Always pull first — see AGENTS.md. Quick path:

git checkout main && git pull --ff-only

Context

I use LoseIt (loseit.com) for diet/calorie tracking. There's no official API and no working data export on the web app. This project scrapes my own account via a headless browser, stores it locally, and exposes it to Claude Desktop via MCP — mirroring an existing Garmin MCP setup I already have running (same architecture: local Playwright/Python scraper → SQLite → stdio MCP server → claude_desktop_config.json).

Known constraint: this scrapes a personal account via the web UI and will be fragile against LoseIt UI changes. Flag clearly if something during the build makes unattended daily runs non-viable (e.g. LoseIt requires solving a CAPTCHA on every login).

What's already built

  • src/db.py — SQLite schema + helpers (daily_summary, food_log, weight_log, exercise_log tables). Complete, should not need changes.
  • src/loseit_mcp.py — MCP server (MCPServer / mcp v2) exposing 4 read-only tools over that SQLite data. Complete, should not need changes unless the scraped schema needs to change.
  • src/scraper.py — Playwright scraper. Login/session persistence is implemented and should work as-is. The actual data-extraction functions (fetch_day, fetch_weight, fetch_exercise) are stubbed with NotImplementedError and docstring TODOs — this is the main thing to build.
  • scripts/install-launchd.sh — writes launchd agents into ~/Library/LaunchAgents with absolute paths derived at install time (labels: com.loseit-mcp.scraper, com.loseit-mcp.scraper-health).
  • requirements.txt — playwright + mcp.

Your task, in order

  1. Set up the environment.

    python3 -m venv .venv && source .venv/bin/activate
    pip install -r requirements.txt
    playwright install chromium
    
  2. Get me logged in. Run python src/scraper.py login. This opens a real (headed) browser window on my Mac. Tell me to log in manually, wait for me to confirm, then it saves session state to ~/.loseit-data/state.json.

Read the full file on GitHub · 129 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 129 lines · 1,421 tokens per session scan A 44bb71538d7f

Subscribe to this mod's changes

loseit-mcp-local CLAUDE.md is an instructions file published in the GitHub repository the-mace/loseit-mcp-local (0 stars, last pushed 9d ago), licensed MIT. It adds 1,421 tokens to every session, about $0.0071 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.

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