Paprika MCP Server

Paprika MCP Server

Enables AI assistants to search, read, and update recipes in Paprika Recipe Manager, allowing natural language interaction with your recipe collection including ingredients, directions, and metadata.

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Paprika MCP Server

A Model Context Protocol (MCP) server for the Paprika Recipe Manager, allowing AI assistants to search, read, and update recipes.

Features

  • Search Recipes: Search across recipe titles, ingredients, categories, directions, and notes with context
  • Read Recipes: Get full recipe data including all metadata, ingredients, and directions
  • Update Recipes: Safely update recipe fields using find/replace (requires user confirmation)

Prerequisites

  1. Python 3.10 or higher (Python 3.13 recommended)
  2. A Paprika account with recipes
  3. Node.js (for pre-commit hooks, optional)

Quick Start

Run the setup script to install everything and configure credentials:

cd paprika-mcp
./setup.sh

This will:

  1. Install paprika-mcp with dependencies
  2. Set up pre-commit hooks (if npm available)

Manual Installation

If you prefer manual setup:

1. Install paprika-recipes

cd ../paprika-recipes
python3 -m venv .venv
source .venv/bin/activate
pip install -e .
deactivate

2. Install paprika-mcp

cd ../paprika-mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

3. Configure credentials

Option 1: Interactive setup

source .venv/bin/activate
paprika-mcp setup

Option 2: Manual config file

Create ~/.paprika-mcp/config.json:

{
  "email": "your@email.com",
  "password": "yourpassword"
}

Set permissions:

chmod 600 ~/.paprika-mcp/config.json

Option 3: Environment variables

export PAPRIKA_EMAIL="your@email.com"
export PAPRIKA_PASSWORD="yourpassword"

Credential Management

The server uses a credential flow designed for MCP stdio transport:

Priority order:

  1. PAPRIKA_EMAIL and PAPRIKA_PASSWORD environment variables
  2. ~/.paprika-mcp/config.json file

Note: This server manages credentials independently from the paprika-recipes CLI tool's keyring storage. This simplifies the credential flow for MCP stdio transport where the process is spawned by the AI app.

User-Agent

If you have Paprika for Mac installed, the fork of the paprika-recipes Python package should automatically create a suitable User-Agent string. Otherwise, you might have to set the PAPRIKA_USER_AGENT environment variable or the "user_agent" property in config.json.

Usage

As an MCP Server

Add to your MCP client configuration (e.g., Claude Desktop's ~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "paprika": {
      "command": "/Users/yourusername/Developer/paprika-mcp/.venv/bin/paprika-mcp"
    }
  }
}

Or use environment variables:

{
  "mcpServers": {
    "paprika": {
      "command": "/Users/yourusername/Developer/paprika-mcp/.venv/bin/paprika-mcp",
      "env": {
        "PAPRIKA_EMAIL": "your@email.com",
        "PAPRIKA_PASSWORD": "yourpassword"
      }
    }
  }
}

Available Tools

format_fraction

Format a fraction string to unicode fraction characters. This tool is local-only and doesn't require Paprika server connectivity - useful for testing.

Parameters:

  • fraction (required): Fraction in the form "numerator/denominator" (e.g., "1/4", " 31 / 200 "), or already formatted unicode

Features:

  • Handles already-formatted unicode fractions (returns them as-is)
  • Strips whitespace from input
  • Converts common fractions to dedicated unicode characters
  • Composes complex fractions using superscript/subscript digits

Examples:

{
  "fraction": "1/4"
}

Returns: ¼

{
  "fraction": " 31 / 200 "
}

Returns: ³¹⁄₂₀₀ (whitespace stripped)

{
  "fraction": "¼"
}

Returns: ¼ (already formatted, returned as-is)

Common fractions (1/4, 1/2, 3/4, 1/3, 2/3, etc.) use dedicated Unicode characters. Complex fractions are composed using superscript numerator + fraction slash (⁄) + subscript denominator.

search_recipes

Search for recipes by text across multiple fields.

Parameters:

  • query (required): Text to search for
  • fields (optional): Array of fields to search in: ["name", "ingredients", "categories", "directions", "notes"]
  • context_lines (optional): Number of context lines around matches (default: 2)

Example:

{
  "query": "chicken",
  "fields": ["name", "ingredients"],
  "context_lines": 2
}

read_recipe

Read full recipe data by ID or title.

Parameters:

  • id or title (one required): Recipe UUID or exact recipe name

Note: Title matching uses Unicode normalization (NFD), so it works correctly with accented characters regardless of their unicode representation (e.g., "café" will match "café").

Example:

{
  "id": "RECIPE-UUID-HERE"
}

or

{
  "title": "Chocolate Chip Cookies"
}

User Preferences (Prompts)

You can provide context to the AI about how you want it to work with your recipes by creating a ~/.paprika-mcp/prompt.md file. This will be automatically loaded as a prompt when the MCP server starts.

Example prompt file:

# Recipe Management Preferences

- Always preserve source URLs and attribution
- Prefer metric measurements
- I'm cooking for 2 people typically
- I avoid peanuts (allergy)
- Categorize using: Breakfast, Lunch, Dinner, Desserts, Snacks

See prompt.example.md for a complete template.

update_recipe

Update a recipe field using find/replace.

⚠️ DANGEROUS: This tool modifies recipe data. User confirmation is recommended before execution.

Parameters:

  • id (required): Recipe UUID
  • field (required): Field to update (name, ingredients, directions, notes, etc.)
  • find (required): Text to find
  • replace (required): Text to replace with
  • regex (optional): Treat find pattern as regex (default: false)

Example:

{
  "id": "RECIPE-UUID-HERE",
  "field": "ingredients",
  "find": "1 cup sugar",
  "replace": "3/4 cup sugar"
}

Code Changes and Rebuilding

The package is installed in editable mode (pip install -e .), so:

  • ✓ No rebuild needed: Changes to .py files are immediately available
  • ⚠️ Restart required: MCP clients cache the stdio process - restart VS Code or your MCP client to pick up changes
  • ↻ Reinstall needed: Only for pyproject.toml or entry point changes

Force reinstall if needed:

.venv/bin/pip install -e . --force-reinstall --no-deps

Pre-commit Hooks

Pre-commit hooks run automatically via Husky when you commit. They:

  1. Only run on staged Python files
  2. Run isort, black, and ruff
  3. Auto-fix issues and re-stage files

To install hooks manually:

npm install

Security Notes

  • Credentials are stored in plain text in ~/.paprika-mcp/config.json
  • Environment variables (PAPRIKA_EMAIL, PAPRIKA_PASSWORD) are also supported

License

MIT

Credits

Built on top of paprika-recipes originally by Adam Coddington.

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