mcp-mealie: Instructions file for Codex

AGENTS.md

mcp-mealie AGENTS.md is an instructions file for Codex, OpenCode from mgummich/mcp-mealie. It costs 1,891 tokens per session, scanned A, original, MIT.

Repository instructions for coding agents working on an MCP server for Mealie, a recipe and meal-planning application. They describe the project structure, design goals, and required tests and commands.

In plain words
What is it for?
Use them to orient an agent in the Mealie server codebase, find the relevant modules and tests, and follow the documented development process.
Why use it?
They give an agent the project context it needs before changing code, reducing unnecessary file reading and changes that conflict with the repository's rules.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is mgummich/mcp-mealie's own configuration. It tells Codex and OpenCode how to work on mcp-mealie 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 mcp-mealie configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mgummich/mcp-mealie. 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/mgummich/mcp-mealie/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/mgummich/mcp-mealie

Made for: Codex, OpenCode.

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Per session 1,891 This file is loaded in full into every session.
When invoked 1,891 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 $0.01891 $0.01891
Opus 5 $0.00945 $0.00945
Sonnet 5 $0.00378 $0.00378
Haiku 4.5 $0.00189 $0.00189

Measured yesterday against content hash bbf655b9cf25, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-13, from the pricing page.

Security

Grade A, and why

mcp-mealie AGENTS.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 yesterday.

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.

AGENTS.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Operational context for AI coding agents working on this repository. Read this first; load the files it names, not the repository.

Purpose

An MCP server for Mealie: 43 curated tools over recipes, meal plans, shopping lists, cookbooks, cooking history, and library cleanup. Curated, not generated — most of Mealie's API is deliberately unexposed. Token efficiency is a product requirement, not a preference.

Non-goals: full API coverage, admin/user/household management, an agent loop, MCP prompts or resources, a PyPI package.

Repo map

src/mealie_mcp/
  __init__.py   __version__ — the only place a version is declared
  config.py     MEALIE_* env vars -> frozen Config, validated at startup
  client.py     HTTP to Mealie: retries, path safety, semaphore, caches
  shape.py      pure Mealie JSON -> trimmed dicts; no I/O; heavily tested
  server.py     FastMCP wiring: lifespan, startup probe, tool registration
  tools/        recipes mealplan shopping cookbooks feedback library admin
tests/          test_shape test_client test_tools test_config test_docs
tests/fixtures/         captured Mealie responses for the shaper tests
tests/integration/      live Mealie in Docker; skipped without MEALIE_INTEGRATION=1
scripts/integration.sh  throwaway Mealie + integration tests + teardown
scripts/smoke.py        hit a live instance on demand
docs/archive/           historical; authoritative about nothing

Dependency direction: tools/*client + shape; servertools. shape.py imports nothing from this package.

Where things are. A tool lives in the tools/ module matching its domain, inside register(). Its response shaper lives in shape.py. Its test lives in tests/test_tools.py; the shaper's in tests/test_shape.py. For most tasks that is three files, and rg '<tool_name>' finds all of them.

Inside register(), reads go above the if read_only: return line and writes below it. library.py has no such line (all reads); admin.py gates manage_taxonomy per action instead.

Read the full file on GitHub · 169 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. yesterday First seen · 169 lines · 1,891 tokens per session scan A bbf655b9cf25

Subscribe to this mod's changes

mcp-mealie AGENTS.md is an instructions file published in the GitHub repository mgummich/mcp-mealie (1 stars, last pushed 2d ago), licensed MIT. It adds 1,891 tokens to every session, about $0.0095 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 2026-09-12.

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