Borrowing it
Nothing to install: this file belongs to Mason-Levyy/myfitnesspal-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Mason-Levyy/myfitnesspal-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/Mason-Levyy/myfitnesspal-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/mason-levyy/myfitnesspal-mcp/claude-md)<a href="https://agentmods.dev/instructions/mason-levyy/myfitnesspal-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/mason-levyy/myfitnesspal-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/mason-levyy/myfitnesspal-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/mason-levyy/myfitnesspal-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02351 | $0.02351 |
| Opus 5.5 | $0.00940 | $0.00940 |
| Sonnet 5.5 | $0.00470 | $0.00470 |
| Haiku 4.5 | $0.00235 | $0.00235 |
Grade A, and why
myfitnesspal-mcp CLAUDE.md scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
upper bounds on `mcp` and `curl-cffi` stay until someone has tested a new How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Guidance for Claude Code when working in this repository.
Project
mfp-mcp is an MCP server that reads and writes a MyFitnessPal account from any
MCP client: search and log foods, weight, water, exercise, and the daily note,
plus trends and exports from a local cache. It ships to PyPI as mfp-mcp and to
the MCP Registry, and people run it against their real accounts.
MyFitnessPal has no public API. Every read and write replicates a request the
MFP web app itself sends, over a curl_cffi session that impersonates Chrome so
Cloudflare lets it through. When MFP changes its site, this project breaks, and
most maintenance is keeping up with those changes.
Commands
Use uv for everything. uv.lock is gitignored, so don't commit one, and don't
pip install into the project.
uv sync --extra autorefresh # install, including the optional browser refresh
uv run pytest # tests: no network, no MFP account needed
uv run ruff check . # lint (--fix applies safe fixes)
uv run ruff format --check . # formatting (drop --check to apply)
uv run mfp-mcp auth # connect a real account
uv run mfp-mcp # serve over stdio against that account
CI runs lint, pytest on Python 3.10 and 3.13, and a version-consistency check. Run pytest and both ruff commands before pushing.
Layout
The package is src/myfitnesspal_mcp/. A tool call flows top to bottom:
server.pydefines the MCP tools (fitness_*). It parses arguments, runs blocking work throughwith_session, and shapes the response. HTTP calls and SQL don't go here.food_logging.pyowns the draft, confirm, and pin flow for logging food.food_ranking.pyranks candidates as pure functions.- One module per MFP feature makes the web requests:
diary.py(meals, entries, adding and removing food),food_search.py,measurements.py,water.py,notes.py, andexercise.py. Each function takes the client first. Request plumbing they share (URLs, headers, csrf pages, status checks) lives inmfp_web.py, and matching a query to logged entries, shared by food and exercise deletes, lives inentry_matching.py. mfp_client.pyholds thecurl_cfficlient, the cached instance, andis_auth_error.auth.pycaptures and stores cookies,paste.pyreads a pasted or copied cookie,session_persistence.pysaves the cookies MFP re-issues back tocookies.json,refresh.pyrenews the session in a headless browser, andconfig.pyreads env vars and paths.store.pyis the local SQLite cache, and all SQL lives there.sync.pygap-fills the cache from MFP.
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.
- 4d ago Changed · +2 lines · +35 tokens per session 2493c65d3b50
- 7d ago Changed · +12 tokens per session 4de6fe5fc80b
- 12d ago Changed · +5 lines · +79 tokens per session 29b775b30fa9
- 29d ago First seen · 173 lines · 2,225 tokens per session scan A c84ba2f956d7
myfitnesspal-mcp CLAUDE.md is an instructions file published in the GitHub repository Mason-Levyy/myfitnesspal-mcp (28 stars, last pushed 2d ago), licensed MIT. It adds 2,351 tokens to every session, about $0.0094 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-01.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.