Allows access to Wikibooks content stored in ZIM format archives, enabling AI agents to search and retrieve educational content from offline Wikibooks collections.
Enables AI models to access and search offline Wikipedia and other knowledge bases stored in ZIM format files. Provides intelligent content retrieval, structured browsing, advanced search capabilities, and metadata extraction for comprehensive offline knowledge access.
8
565 PyPI
146
MIT
Why this server?
Searches, reads, and scales recipes from the English Wikibooks Cookbook, including browsing by cuisine, dish type, or main ingredient.
An MCP server that searches and reads recipes from multiple sources simultaneously, merges the results, and rescales ingredient quantities for any number of servings in French and English.
4
49 npm
MIT
Why this server?
Provides access to Wikibooks content via the Wikimedia REST API, including page summaries, HTML, metadata, references, media, related pages, revisions, and more.
Structured knowledge for AI agents — Wikipedia, Wikidata, Wiktionary and growing as clean JSON. 1.9M searchable. Free, no auth.
MIT
Why this server?
Provides the recipe catalog used by the menu and basket tools: recipes are ingested from Wikibooks' French cookbook (Livre de cuisine) via an ingest script, keeping their source URL for attribution, so the server can compose a weekly menu and optimize a priced basket over real recipes.
Lets an AI agent turn a weekly menu into a priced shopping basket for a given store, ranking in-stock substitutes when a product is unavailable or out of stock. It chooses pack sizes and quantities that trade off price against leftover food, and reports warnings plus a cart delta when an ingredient cannot be converted.