Comprehensive Model Context Protocol server for managing Home Assistant through AI assistants.
Asian Recs 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
SF and NYC restaurants, cafes, desserts and bars ranked by how Asian diners rate them.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http asian-recs-mcp https://asianrecs.com/api/mcp
# 2 — ask your agent for something these tools do
# search_places, get_place, list_filters
Asian Recs 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 asian-recs-mcp https://asianrecs.com/api/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.
3 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.
Find places in San Francisco or New York ranked by how Asian diners rate them. Each result has the Asian diners' rating, everyone else's rating, the gap between them, how many Asian diners reviewed it, top dishes, neighborhood and a link to its page. Use when someone asks where to eat or drink in San Francisco or New York, or for restaurant, dessert, cafe or bar recommendations there. When nothing
| Parameter | Type | Required | Notes |
|---|---|---|---|
| city | string | yes | sf = San Francisco, nyc = New York |
| type | string | no | Kind of place. Default restaurants. Boba, coffee, tea and bakeries are cafes; ice cream and dessert shops are desserts. |
| cuisine | string | no | Cuisine or drink category, e.g. "ramen", "sichuan", "korean", "dim sum", or "boba" with type cafes. |
| location | string | no | Neighborhood or area, e.g. "Mission", "East Village", "Flushing", "Manhattan — Downtown". list_filters has the exact names. |
| query | string | no | Free text matched against name, cuisine, neighborhood and dishes, e.g. a dish like "soup dumplings". |
| near | object | no | A point to measure distance from; adds distance_mi to results. |
| radius_mi | number | no | With near: only places within this many miles. |
| sort | string | no | asian_rating: Asian diners' rating, highest first; loved_more: Biggest gap above everyone else; most_asian_diners: Most Asian diners; share_asian: Highest share of Asian reviewers; distance: Closest f |
| limit | integer | no | Default 10. |
Full Asian Recs page for one place: both ratings and the gap, share of reviewers who are Asian, dishes Asian diners mention most, quotes from Asian diners, Google and Yelp ratings, and links (Asian Recs, Google Maps, Yelp, Instagram). Use when someone asks about one specific place in San Francisco or New York.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| city | string | yes | sf = San Francisco, nyc = New York |
| name | string | yes | Place name; partial names work. |
| type | string | no | Narrow to one kind of place when a name is ambiguous. |
Areas, neighborhoods and cuisines available for a city and kind of place, with how many ranked places each has. Use to find the exact neighborhood and cuisine names search_places accepts, or to answer what is covered.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| city | string | yes | sf = San Francisco, nyc = New York |
| type | string | no | Kind of place. Default restaurants. Boba, coffee, tea and bakeries are cafes; ice cream and dessert shops are desserts. |
- 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 Asian Recs 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.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither: the repository linked on this page is where this record was collected from, not a copy of what the address serves, so it is not graded in its place. So there is no grade — not a withheld one, an unmeasured one.
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 Asian Recs 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.