list_categoriesLABSCO SUMMARY
Structured well enough to plan against, not just to read.
The reason this is more useful than asking a model for a recipe is that the nutrition is attached per portion and the tags are a fixed taxonomy — so high protein, dairy free and quick to cook is a filter rather than a hope. Search first to narrow, then fetch the full record; the previews exist so you are not pulling whole recipes to decide.
What it is
A hosted recipe service. Records are structured rather than prose: nutrition per portion, ingredients with quantities in two unit systems, allergens, equipment, numbered cooking steps and storage guidance, all retrievable by slug.
What you get
- list_categories — the calorie bands recipes are filed under, from low calorie through to bulking friendly
- list_groups — dietary patterns, health constraints, lifestyle tags, meal types, dish families and macro tags
- list_files — recipe records with name, slug, category and a preview, filterable by category and capped by a limit
- get_file — the full record for one slug
- search_docs — keyword search across records, by ingredient, author, meal type, diet tag or constraint
- Per-portion nutrition on every record: calories, protein, carbs, fat, fibre, sugar and sodium
- Ingredients carrying both metric and US quantities, plus allergens and preparation notes
- Allergy notes with substitutions, and storage guidance for fridge, freezer and reheating
- Two bundled skills: finding recipes that match a constraint, and building a meal plan from them
Requirements
Nothing to install and no account: it is a hosted HTTP endpoint you add to your client's configuration. Recipe bodies come back in a structured text format rather than as JSON fields, so the model reads the record rather than indexing into it.
Setup effort
Paste a URL — add the endpoint to your client
USE CASES
Cooking around a dietary constraint
Find the groups that match, then search within them and read what the record says about substitutions.
Eating to a calorie target
Browse the calorie band rather than checking each recipe's nutrition afterwards.
Using what is already in the fridge
Search by ingredient and read the previews before committing to a full record.
Planning a week of meals
Combine categories and meal-type groups into a plan, then pull each recipe in full.
Cooking it without converting anything
Read the record's ingredients in metric or US units, with the ordered steps and their timings.
Checking an allergen before you shop
Open the record and read its allergy notes and the per-ingredient allergen list.
5 tools
Listed in project docs. Your client may show a different list.
list_groupslist_filesget_filesearch_docsBEFORE YOU INSTALL
What to know first
Tools you get
5 tools named in the project's documentation.
Requires
A client that can reach a remote MCP server over HTTP
INSTALLATION
Connect your client
Add the endpoint to your client.
Server setup
https://vectoralix.com/mcp/PrVaxzTB2TxR