paprika-mcp-server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@paprika-mcp-serverfind a recipe for chocolate chip cookies"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Paprika MCP Server
An MCP server that gives AI assistants access to your Paprika Recipe Manager data.
Building
pnpm install
pnpm buildRelated MCP server: paprika-mcp
Unpacking Paprika Recipes
Paprika exports recipes as .paprikarecipes archive files. Before starting the server, unpack them into individual JSON files:
./dist/index.js unpack --input recipes.paprikarecipes --output ./recipesOption | Description |
| Path to |
| Output directory for extracted JSON files (required) |
| Enable verbose logging |
Starting the Server
./dist/index.js mcp --recipes-dir ./recipesOption | Description |
| Directory containing recipe JSON files (default: |
| MCP server name (default: |
| Enable verbose logging |
Using with Claude
Claude Code
Add a .mcp.json file to your project root:
{
"mcpServers": {
"paprika": {
"type": "stdio",
"command": "node",
"args": [
"/path/to/paprika-mcp-server/dist/index.js",
"mcp",
"--recipes-dir",
"/path/to/your/recipes"
]
}
}
}License
Apache 2.0
This server cannot be deployed
Maintenance
Related MCP Connectors
MCP server that lets AI assistants use all OneSchema features exposed via the public API.
Your Recipes, Beautifully Kept. weReci MCP server lets Claude and other MCP clients work with your personal weReci cookbook, the recipes you've imported from the web, social video and scanned family books. Interactive UI in the chat. weReci supports MCP Apps, so in clients that support it, tools return live views instead of plain text: recipe cards, shopping lists and your recipe graph. Clients without MCP Apps support get the same results as text. Find and read recipes: search your collection in plain language, open any recipe in full, or get an overview of what's in your cookbook. Cook with them: scale a recipe to any serving count, with cooking adjustments as well as amounts. Get substitution suggestions with ratios and caveats. Explore connections: browse your recipe graph (shared ingredients, techniques and cuisines), trace the connection between two recipes, and look up where a dish sits on the cuisine map. Themed collections: list the themed groups weReci curates from your cookbook, or ask it to reshuffle them. Shop: build a shopping list from one or more recipes, add or update items, and read the list back. Share: email a recipe to someone. Longer jobs like conceit reshuffles run in the background, with tools to check their progress. Everything is scoped to your own cookbook, or to a shared one you've joined.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
Search your AI chat history (ChatGPT, Claude, Codex) from any MCP client. Remote, private, read-only
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