Comprehensive Model Context Protocol server for managing Home Assistant through AI assistants.
Ask Garçon is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Cocktails from the bottles you own: recipes, bar terms, similar drinks, low and zero-proof picks.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http ask-garcon-mcp https://mcp.fixmeadrinkapp.com/mcp
# 2 — ask your agent for something these tools do
# find_cocktails_by_ingredients, get_cocktail_recipe, explain_bar_term and 1 more
Ask Garçon costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http ask-garcon-mcp https://mcp.fixmeadrinkapp.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
4 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Use this when the user names ingredients or bottles they have and asks what cocktails, drinks or mocktails they can make with them, for example "What can I make with gin, lime and soda?" or "I have rum and pineapple juice, any ideas?". Checks their ingredients against the Garçon recipe catalogue on fixmeadrinkapp.com. Do not use it for one named drink (use get_cocktail_recipe) or for drinks like o
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ingredients | array | yes | What the user has, in their own words, one item each, e.g. ["gin", "limes", "simple syrup"] |
| strength | string | no | zero_or_low for mocktails and low-ABV drinks; omit for any strength |
| flavors | array | no | Flavour notes to prefer; a drink matches if it has any of them |
| limit | integer | no | How many drinks to return (default 5) |
Use this when the user asks how to make a cocktail they name, or wants its recipe, ingredients or steps, for example "How do I make an Espresso Martini?" or "What goes in an Old Fashioned?". Gets that recipe from the Garçon catalogue by name, slug or fixmeadrinkapp.com recipe URL: description, glass, ice, garnish, ingredient amounts (oz with ml), steps, strength and its fixmeadrinkapp.com page. Do
| Parameter | Type | Required | Notes |
|---|---|---|---|
| name | string | yes | Cocktail name ("Espresso Martini"), slug ("espresso-martini") or fixmeadrinkapp.com recipe URL |
Use this when the user asks what a spirit, liqueur, mixer or other cocktail ingredient is, what to use instead of one, or what a bar term means or how a technique works, for example "What is mezcal and what can I use instead?", "What can I use instead of Aperol?" or "How do I dry shake?". Covers ingredients (taste, what it is made from, typical ABV, styles, substitutes including zero-proof ones, c
| Parameter | Type | Required | Notes |
|---|---|---|---|
| term | string | yes | The thing to explain, e.g. "mezcal", "Aperol", "dry shake", "coupe glass" |
Use this when the user names a drink they like and wants something similar, a lighter or lower-alcohol option, or both, for example "I like Moscow Mules. Suggest something similar, and a lighter option too." or "What is a low-alcohol drink like an Espresso Martini?". Suggests cocktails similar to that one from the Garçon catalogue, with each drink's strength, flavours and fixmeadrinkapp.com page,
| Parameter | Type | Required | Notes |
|---|---|---|---|
| name | string | yes | The cocktail to match, e.g. "Negroni" |
| low_proof | boolean | no | True to suggest only low and zero-proof drinks |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Ask Garçon or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| coverage-honesty | manifest | inspection depth (manifest) — how much of the target the scan could see | −4 |
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.
The implementation source was not read — this reflects the declared tool metadata only.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| find_cocktails_by_ingredients | no tags | |
| get_cocktail_recipe | no tags | |
| explain_bar_term | no tags | |
| suggest_similar_cocktail | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Ask Garçon can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.