About Booyah Index
Booyah Index is a searchable directory of local businesses across 14 Southeast Asian cities, with structured information and source URLs for AI assistants. Its MCP server supports place discovery by query, city, and category.
Key features
- 01Search local business listings
- 02Filter results by city and category
- 03Return structured place records
- 04Include canonical URLs for citation
- 05Cover 14 Southeast Asian cities
Use cases
- 01Find restaurants in Bangkok
- 02Search for a business by neighborhood or category
- 03Give assistants place information they can cite
MCP support
The MCP server exposes `search_places` and `get_place` tools for querying the directory and retrieving place details. It is available over streamable HTTP at `https://getbooyah.com/api/mcp`.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://getbooyah.com/api/mcpclaude mcp add --transport http booyah-index https://getbooyah.com/api/mcp{"mcpServers":{"booyah-index":{"type":"http","url":"https://getbooyah.com/api/mcp"}}}Open in Cursor{"servers":{"booyah-index":{"type":"http","url":"https://getbooyah.com/api/mcp"}}}Open in VS Code{"mcpServers":{"booyah-index":{"type":"http","url":"https://getbooyah.com/api/mcp"}}}{"mcpServers":{"booyah-index":{"serverUrl":"https://getbooyah.com/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
6| Parameter | Type | Required | Description |
|---|---|---|---|
| query | string | Yes | What to look for, e.g. "khao soi", "rooftop seafood" |
| city | string | No | City filter, e.g. Bangkok, Singapore, Bali, Kuala Lumpur, Manila, Ho Chi Minh City, Hanoi, Da Nang |
| category | string | No | Cuisine/category filter, e.g. "Thai restaurant" |
| limit | number | No | Max results, 1-50 (default 10) |
Details
From the project READMEBooyah Index — MCP Server
A free, AI-readable directory of real Southeast Asian local businesses, so your assistant can recommend actual places — not hallucinated ones.
Connector URL:
https://getbooyah.com/api/mcpRegistry ID:com.getbooyah/booyah-index
What it is
The Booyah Index is a public directory of local businesses across Southeast Asia — restaurants, rooftop bars, spas, dental and aesthetic clinics, coworking spaces, tailors, coffee shops, nightlife, and more. Every place is a structured page (schema.org markup + concrete "known for" claims) that an AI assistant can read, reason over, and cite with a real URL.
Coverage: 3,520 places across 14 cities — Bangkok, Singapore, Bali, Kuala Lumpur, Manila, Ho Chi Minh City, Hanoi, Da Nang, Chiang Mai, Pattaya, Koh Samui, Koh Phangan, Phnom Penh, and Yangon. Bilingual (EN/TH).
Where it's listed
- Official MCP registry —
com.getbooyah/booyah-index - Smithery — verified deploy, gateway available
- mcp.so
- cursor.directory
Why it exists
When someone asks an AI assistant "where should I eat in Bangkok?" or "find me a good dentist near Thonglor," the model usually leans on whatever it half-remembers from training — which means stale info, invented place names, and no way to verify. This index gives assistants a clean, queryable source of real, structured local-business data they can search and cite instead of guessing.
- Free REST API:
https://getbooyah.com/api/places?q=... - MCP server (streamable HTTP):
https://getbooyah.com/api/mcp - Human-browsable hub:
https://getbooyah.com/en/places
Tools
search_places
Search the index for the best matches to a natural-language query. Returns structured records — what each place is known for, rating, review count, and a canonical URL to cite.
Inputs
| Field | Type | Required | Description |
|---|---|---|---|
query | string | yes | What to look for, e.g. "khao soi", "rooftop seafood", "omakase in Thonglor" |
city | string | no | City filter, e.g. "Bangkok", "Singapore" |
category | string | no | Cuisine/category filter, e.g. "Thai restaurant" |
limit | number | no | Max results, 1–50 (default 10) |
Example call
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.