AchioteCAUTION

TL;DR: Achiote — food-memory and cultural taste research product. Best for researchers and builders exploring food memory and heritage taste. Keywords: food memory research, cultural taste, heritage cuisine AI.

Achiote is a Model Context Protocol (MCP) server for research-first food-and-drink memory reconstruction. It helps a host AI turn incomplete family food or drink memories into structured clues, research plans, cited/provenance-ready findings, sensory analysis, sourcing/substitution strategy, and a minimum viable nostalgia cue before any fuller recipe handoff.

"The nostalgia lives in the maillard crust's interaction with the lactic tang — here's how to reproduce that."

Super Quick Start

From this repo:

npm ci
npm run build
mkdir -p ~/.codex/skills/achiote
cp skill/SKILL.md ~/.codex/skills/achiote/SKILL.md

Claude Code can use the checked-in .mcp.json after the build step. For Codex, add the MCP server to ~/.codex/config.toml with an absolute path to this repo's built dist/index.js:

pwd
# copy the printed path and append /dist/index.js

[mcp_servers.achiote]
command = "node"
args = ["/absolute/path/to/achiote/dist/index.js"]
enabled = true
startup_timeout_sec = 10

Restart the host AI session, then test with:

Use the achiote skill.

My mom said my Puerto Rican grandma made something that sounded like pass-teh-lay. I don't speak Spanish. Maybe plantains or pork?

Expected behavior: the host AI should use the MCP tools to collect the memory, plan research, build a dossier, and present a minimum viable nostalgia cue first. Only after that should it ask whether the user wants something more complex, such as sourcing help or a full recipe handoff.

Public Web Surfaces

The hosted/static product surface lives under docs/landing/. The core app and launch pages are dependency-free static assets served by the optional HTTP server:

• / -> [`docs/landing/index.htm