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Glama
the-real-py

Bar Assistant MCP Server

by the-real-py

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
BAR_ASSISTANT_TOKENYesYour personal access token generated from Bar Assistant profile settings
BAR_ASSISTANT_BAR_IDNoThe ID of your bar (optional - if not set, can be provided as parameter to tools or discovered using list_bars tool)
BAR_ASSISTANT_API_URLYesYour Bar Assistant instance URL + the API path (e.g., http://localhost:8000/api or https://bar.example.com/bar/api)

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
list_barsB

List all bars you have access to and get their IDs

get_shelf_ingredientsB

Get all ingredients currently on your bar shelf with detailed information

get_shelf_cocktailsB

Get all cocktails you can make with ingredients on your bar shelf

add_ingredients_to_shelfC

Add ingredients to your bar shelf by their IDs

remove_ingredients_from_shelfC

Remove ingredients from your bar shelf by their IDs

search_ingredientsC

Search for ingredients by name to find their IDs

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
Bar Shelf IngredientsList of all ingredients currently on your bar shelf
Bar Shelf CocktailsCocktails you can make with ingredients on your bar shelf

TDQS

A3.5/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a clearly distinct purpose with no overlap: managing shelf ingredients (add/remove/get), searching for ingredients, listing bars, and getting cocktails from the shelf. The actions and targets are well-defined, making misselection unlikely.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with snake_case (e.g., add_ingredients_to_shelf, get_shelf_cocktails). The naming is predictable and readable throughout the set, with no deviations in style.

Tool Count5/5

With 6 tools, this server is well-scoped for a bar assistant domain. Each tool earns its place by covering core operations like ingredient management, cocktail discovery, and bar listing, without being too sparse or bloated.

Completeness4/5

The tool set covers key workflows: CRUD for shelf ingredients (add, remove, get), ingredient search, bar listing, and cocktail generation. A minor gap is the lack of tools for directly managing cocktails or bars (e.g., create/delete bars), but agents can work around this with the provided operations.

Maintenance

ActivityInactive
ResponsivenessNo issues