@soggycactus
基本信息
MCP Server for creating/editing recipes in Paprika 3 with natural language
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paprika-3-mcp is a Model Context Protocol (MCP) server that exposes recipes from the Paprika 3 recipe manager as LLM‑readable resources and allows an LLM (e.g., Claude) to create or update recipes in the app. It is designed for users who want to interact with their Paprika recipe collection through an AI assistant.
Install the server via a prebuilt binary (or Homebrew on macOS), then configure your MCP client (e.g., Claude Desktop) to launch it with your Paprika 3 username and password as command‑line arguments. The server provides tools that the LLM can invoke to read, create, and update recipes.
create_paprika_recipe tool for adding new recipes.update_paprika_recipe tool for modifying existing recipes.An MCP (Model Context Protocol) server lets AI assistants like Claude access external data and tools. paprika-3-mcp connects Claude to your Paprika 3 recipes, allowing it to read, create, and update recipes through the Paprika cloud sync.
You need a Mac, Linux, or Windows system; Paprika 3 installed with cloud sync enabled; your Paprika 3 username and password; and an LLM client that supports MCP tools (e.g., Claude Desktop).
On macOS, use Homebrew: `brew tap soggycactus/tap && brew install paprika-3-mcp`. On Linux and Windows, download the appropriate archive from the Releases page, extract it, and place the binary in your `PATH`. Verify with `paprika-3-mcp --version`.
Add an entry to your `claude_desktop_config.json` `mcpServers` section with the command `paprika-3-mcp` and arguments `--username <your Paprika email> --password <your Paprika password>`. Restart Claude to see the tools.
Logs are written to platform‑specific directories: `~/Library/Logs/paprika-3-mcp/server.log` on macOS, `/var/log/paprika-3-mcp/server.log` on Linux, `%APPDATA%\paprika-3-mcp\server.log` on Windows, and `/tmp/paprika-3-mcp/server.log` otherwise. Logs are rotated at 100 MB, with 5 backups kept and files removed after 10 days.
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