meal-planner-mcp: Instructions file for Claude Code

CLAUDE.md

meal-planner-mcp CLAUDE.md is an instructions file for Claude Code from illinigirl/meal-planner-mcp. It costs 3,789 tokens per session, scanned A, original, MIT.

Instructions for working on a meal-planning MCP server, a service that lets an AI use a local recipe library. It plans weekly meals, reuses leftovers, reduces duplicate ingredients, and creates a shopping list and Markdown plan.

In plain words
What is it for?
Use it to develop, run, and test the meal-planning server and to extend its recipe-planning logic or adapters.
Why use it?
It turns a recipe collection into a practical weekly plan while reducing shopping complexity and recently repeated meals.

Instructions file for Claude Code

Written for Claude Code: PostToolUse hook event. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Claude Code.

This is illinigirl/meal-planner-mcp's own configuration. It tells Claude Code how to work on meal-planner-mcp 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 meal-planner-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to illinigirl/meal-planner-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.

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

Made for: Claude Code.

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Per session 3,789 This file is loaded in full into every session.
When invoked 3,789 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 $0.03789 $0.03789
Opus 5.5 $0.01516 $0.01516
Sonnet 5.5 $0.00758 $0.00758
Haiku 4.5 $0.00379 $0.00379

Measured 2mo ago against content hash aaadc7140c33, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

meal-planner-mcp 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 2mo 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 · 281 lines

How it starts

The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — Meal Planner guidance

Read this first. It's the contract for working in this repo with an agent: what the pieces are, how to run and test, the design decisions and why they were made, and the deliberate simplifications (each one a good place to extend).

What this is

A self-contained MCP server that plans a week of meals from a local recipe library. It optimizes for ingredient overlap (buy shared things once), reuses serving-surplus leftovers (a big-batch cook covers extra nights), and avoids recently-cooked recipes — then produces a consolidated shopping list and a Markdown plan doc.

Single-user by design. No auth, no cloud, no external API. It clones and runs with zero credentials — the bundled data/recipes.seed.json is enough to plan a week immediately.

Why this is an MCP and not just a prompt

The honest test for whether a tool earns its place: does it give the model something it can't do alone? There are four such things, and this hits all four — which is the whole justification for the project:

Need Plain Claude This MCP
Suggest a generic meal ✅ fine (a tool would add nothing)
Plan around your recipe library ❌ doesn't know it ✅ grounded in local data (#3 private data)
Remember what you ate, avoid repeats ❌ no cross-session memory ✅ state.json history (#1 persistence)
Produce a plan + list that persists ❌ can't write files ✅ Markdown export (#2 side effects)
Merge/scale ingredients exactly ❌ hand-waves arithmetic ✅ deterministic aggregate (#4 exact compute)

When changing or adding a tool, ask which of the four it serves. If the answer is "none — Claude already does this well," it probably shouldn't be a tool.

Architecture: pure core + thin adapters

The logic is pure and I/O-free, so it's all unit-tested without a runtime. Two adapters (MCP server, CLI) wire the same functions to the outside world; one module (store.py) is the only thing that touches the filesystem.

Read the full file on GitHub · 281 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. 2mo ago First seen · 281 lines · 3,789 tokens per session scan A aaadc7140c33

Subscribe to this mod's changes

meal-planner-mcp CLAUDE.md is an instructions file published in the GitHub repository illinigirl/meal-planner-mcp (0 stars, last pushed 4mo ago), licensed MIT. It adds 3,789 tokens to every session, about $0.0152 per session on Opus 5.5. 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 2026-08-31.

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