Asian Recs

Official3 tools

by raymond-raymond

SF and NYC restaurants, cafes, desserts and bars ranked by how Asian diners rate them.

Model Context Protocol (MCP) Server: com.asianrecs/asianrecs

This MCP server provides a catalog of SF and NYC venues—restaurants, cafes, desserts, and bars—organized and ranked by how Asian diners rate them. The server description emphasizes location coverage (San Francisco and New York City) and the ranking basis (Asian diner ratings).

🛠️ Key Features

Lists SF and NYC restaurants, cafes, desserts, and bars
Ranks venues by Asian diner ratings

🚀 Use Cases

Discover highly rated Asian-diner–rated food and drink spots in SF or NYC
Browse by venue type (restaurants, cafes, desserts, bars)

⚡ Developer Benefits

Structured focus on two locations (SF, NYC) and four venue categories
Clear, rating-based ordering using Asian diner reviews

⚠️ Limitations

No additional fields (e.g., topics, toolCount, or readmeExcerpt) were provided, so capabilities beyond the description are not specified.

Captured live from the server via tools/list.

search_places

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.

Parameters9

city	string	required	sf = San Francisco, nyc = New York
type	string	optional	Kind of place. Default restaurants.
cuisine	string	optional	Cuisine or drink category, e.g. "ramen", "sichuan", "korean", "boba", "dim sum".
location	string	optional	Neighborhood or area, e.g. "Mission", "East Village", "Flushing", "Manhattan — Downtown".
query	string	optional	Free text matched against name, cuisine, neighborhood and dishes, e.g. a dish like "soup dumplings".
near	object	optional	A point to measure distance from; adds distance_mi to results.
radius_mi	number	optional	With near: only places within this many miles.
sort	string	optional	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 first (needs near). Default asian_rating.
limit	integer	optional	Default 10.

Raw schema

{
  "type": "object",
  "properties": {
    "city": {
      "type": "string",
      "enum": [
        "sf",
        "nyc"
      ],
      "description": "sf = San Francisco, nyc = New York"
    },
    "type": {
      "description": "Kind of place. Default restaurants.",
      "type": "string",
      "enum": [
        "restaurants",
        "desserts",
        "cafes",
        "bars"
      ]
    },
    "cuisine": {
      "description": "Cuisine or drink category, e.g. \"ramen\", \"sichuan\", \"korean\", \"boba\", \"dim sum\".",
      "type": "string"
    },
    "location": {
      "description": "Neighborhood or area, e.g. \"Mission\", \"East Village\", \"Flushing\", \"Manhattan — Downtown\".",
      "type": "string"
    },
    "query": {
      "description": "Free text matched against name, cuisine, neighborhood and dishes, e.g. a dish like \"soup dumplings\".",
      "type": "string"
    },
    "near": {
      "description": "A point to measure distance from; adds distance_mi to results.",
      "type": "object",
      "properties": {
        "lat": {
          "type": "number"
        },
        "lng": {
          "type": "number"
        }
      },
      "required": [
        "lat",
        "lng"
      ]
    },
    "radius_mi": {
      "description": "With near: only places within this many miles.",
      "type": "number",
      "exclusiveMinimum": 0
    },
    "sort": {
      "description": "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 first (needs near). Default asian_rating.",
      "type": "string",
      "enum": [
        "asian_rating",
        "loved_more",
        "most_asian_diners",
        "share_asian",
        "distance"
      ]
    },
    "limit": {
      "description": "Default 10.",
      "type": "integer",
      "minimum": 1,
      "maximum": 30
    }
  },
  "required": [
    "city"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

get_place

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).

Parameters3

city	string	required	sf = San Francisco, nyc = New York
name	string	required	Place name; partial names work.
type	string	optional	Narrow to one kind of place when a name is ambiguous.

Raw schema

{
  "type": "object",
  "properties": {
    "city": {
      "type": "string",
      "enum": [
        "sf",
        "nyc"
      ],
      "description": "sf = San Francisco, nyc = New York"
    },
    "name": {
      "type": "string",
      "description": "Place name; partial names work."
    },
    "type": {
      "description": "Narrow to one kind of place when a name is ambiguous.",
      "type": "string",
      "enum": [
        "restaurants",
        "desserts",
        "cafes",
        "bars"
      ]
    }
  },
  "required": [
    "city",
    "name"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

list_filters

Areas, neighborhoods and cuisines available for a city and kind of place, with how many ranked places each has.

Parameters2

city	string	required	sf = San Francisco, nyc = New York
type	string	optional	Kind of place. Default restaurants.

Raw schema

{
  "type": "object",
  "properties": {
    "city": {
      "type": "string",
      "enum": [
        "sf",
        "nyc"
      ],
      "description": "sf = San Francisco, nyc = New York"
    },
    "type": {
      "description": "Kind of place. Default restaurants.",
      "type": "string",
      "enum": [
        "restaurants",
        "desserts",
        "cafes",
        "bars"
      ]
    }
  },
  "required": [
    "city"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

README.md1 KBView on GitHub

Asian Recs for Claude

Restaurants, desserts, cafes and bars in San Francisco and New York, ranked by how Asian diners rate them beside how everyone else does. Data from asianrecs.com, refreshed weekly.

Claude Code

code

/plugin marketplace add raymond-raymond/asianrecs-claude
/plugin install asianrecs@asianrecs

Claude.ai and Claude Desktop

Find Asian Recs in the connectors directory, or Settings → Connectors → Add custom connector → https://asianrecs.com/api/mcp

Try

"Best soup dumplings in Flushing?"
"Where do Asian diners like ramen more than everyone else in the East Village?"
"Boba near 24th and Mission"

Install

Tools (3)

search_placesget_placelist_filters

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://asianrecs.com/api/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "asianrecs": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://asianrecs.com/api/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

Model Context Protocol (MCP) Server: com.asianrecs/asianrecs

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

search_places

get_place

list_filters

Asian Recs for Claude

Claude Code

Claude.ai and Claude Desktop

Try

Install

Remote endpoint

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