Recipe Manager MCP Server

Recipe Manager MCP Server

Enables managing recipes via a web UI and MCP tools, allowing retrieval and saving of recipe data through natural language.

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README

Recipe Manager MCP Server

A FastMCP server built with FastAPI that serves a recipe editing web page and exposes recipe data via MCP tools. Designed for voice-assistant interaction — fractions like 1/2 and 1¼ are automatically normalized to "a half" and "one and a quarter" so they read naturally aloud.

Features

  • Web UI — Clean, responsive form with Edit and Import tabs at /
  • Recipe Import — Paste plain-text recipe blocks and auto-parse into structured fields
  • Fraction Normalization — 1/2, 1¼, ½ → "a half", "one and a quarter", "a half" on save
  • Notes Field — Optional notes section for tips, substitutions, and comments
  • REST API — GET /api/get-recipe, POST /api/save-recipe, POST /api/import-recipe
  • MCP Tools — get_recipe, save_recipe, and import_recipe exposed at /mcp/
  • Persistent storage — Recipes saved to recipes.json in a Docker named volume

Quick Start

Running with Docker (recommended)

bash run.sh

This rebuilds the image and starts the container on port 8002 with a named volume (recipe-data) for persistent storage and --restart unless-stopped for auto-recovery.

Running locally

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
uvicorn server:app --host 0.0.0.0 --port 8000

Web UI

Open http://localhost:8002 in your browser.

Edit Tab

Four fields: Recipe Name, Ingredients, Directions, and Notes. Edit any field and click Save Recipe to persist changes. Fractions are normalized on save so voice assistants read them naturally.

Edit Tab

Import Tab

Paste a plain-text recipe block and click Parse & Save. The parser extracts the title, ingredients, directions, and notes, then switches to the Edit tab so you can review before saving.

Import Tab

Expected format:

Recipe Name Here

Ingredients:
1 1/2 cups flour
1/4 tsp salt
2 eggs

Directions:
Mix ingredients together.
Bake at 350°F for 25 minutes.

Notes:
Add vanilla extract for extra flavor.

The first line becomes the recipe title. Sections are identified by Ingredients:, Directions:, and Notes: headers (case-insensitive). Nutrition facts and source URLs are ignored.

Endpoints

Endpoint Method Description
/ GET Web UI for editing and importing recipes
/api/get-recipe GET Get the current recipe as JSON
/api/save-recipe POST Save a recipe (JSON body with name, ingredients, directions, notes)
/api/import-recipe POST Import a plain-text recipe (JSON body with text)
/mcp/ POST MCP Streamable HTTP transport endpoint

MCP Tools

  • get_recipe — Retrieve the current recipe
  • save_recipe — Save or update a recipe (params: name, ingredients, directions, notes)
  • import_recipe — Parse and save a plain-text recipe block (param: text)

Import via MCP example

import_recipe(text="Classic Pancakes\n\nIngredients:\n1 1/2 cups flour\n1/4 tsp salt\n\nDirections:\nMix and cook on a griddle.\n\nNotes:\nServe with maple syrup.")

Fraction Normalization

On save, fractions in ingredients, directions, and notes are converted to voice-friendly words:

Input Output
1/2 cup a half cup
1 1/2 cups one and a half cups
3/4 tsp three quarters tsp
1¼ cups one and a quarter cups
½ tsp a half tsp
80/20 ground beef 80/20 ground beef (unchanged)

This ensures voice assistants read measurements naturally instead of saying "one slash two."

Project Structure

recipe-mcp/
├── Dockerfile            # Container build definition
├── .dockerignore         # Docker build context exclusions
├── .gitignore            # Git exclusion rules
├── README.md             # This file
├── data.py               # Recipe I/O, Pydantic model, and import helper
├── mcp_server.py         # FastMCP tools definition
├── parser.py             # Plain-text recipe parser and fraction normalizer
├── requirements.txt      # Python dependencies
├── run.sh                # One-command rebuild + restart (port 8002)
├── sample_1.txt          # Sample recipe for testing import
├── sample_2.txt          # Sample recipe for testing import
├── server.py             # FastAPI app, routes, and entry point
└── templates/
    └── web_page.html     # Web UI template with Edit/Import tabs

Recipe data is persisted in a Docker named volume (recipe-data) and is not tracked by git.

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