Qloo's Global Agentic Hackathon saw nearly 3,000 developers create innovative AI applications. Finalists will present live, with an investment opportunity from Jason Calacanis.

Kearney and Qloo's latest collaboration reveals how AI is redefining consumer research, uncovering unexpected market opportunities by exploring cultural connections.

My coding agent can refactor a thousand lines without breaking a sweat, but ask it "where should I take a date Friday night" and it's useless. It knows my code. It knows nothing about my taste. Qloo's Taste API sits on 250M+ cultural entities — music, movies, restaurants, brands, destinations — with a graph of how tastes connect. So I built **qloo-taste-mcp** : an MCP server that hands all of that to any agent as four tools. Tool | What it does ---|--- `qloo_search` | Search the taste graph ("Taylor Swift", "ramen") → entity IDs `qloo_recommend` | Recommendations seeded by entity IDs — movies, restaurants, brands `qloo_trending` | What's trending in a category right now `qloo_tags` | Search the tag taxonomy (genres, cuisines, travel themes) The fun part is the cross-domain jump: "I love Taylor Swift and Wes Anderson films — find me a restaurant in LA" → `qloo_search` for the seeds → `qloo_recommend` with `urn:entity:restaurant`. Taste transfers across categories, and the agent just follows the graph. Zero third-party dependencies — Python stdlib only. Without an API key the tools return a helpful error instead of crashing. export QLOO_API_KEY=<your key> # grab one at https://www.qloo.com python3 -m qloo_taste_mcp.server With Claude Code, add to `.mcp.json`: { "mcpServers": { "qloo": { "command": "python3", "args": ["-m", "qloo_taste_mcp.server"], "env": { "QLOO_API_KEY": "<your key>" } } } } There's also a live demo in `demo/` — Taste Match, a tiny web app where you search things you like, pick a category, and get recommendations. The API key never leaves the server (it binds `127.0.0.1`, not `0.0.0.0`). 18/18 tests pass, all HTTP-mocked. MIT licensed. Built for the Qloo Agentic Hackathon. Repo: https://github.com/hahahahahahahahah6/qloo-taste-mcp If your agent suddenly developed opinions about ramen — what would you ask it first?

Qloo receives high praise as it is recognized in Gartner's Set Diamonds category for Emerging Tech AI. This solidifies its status as a leader in synthetic population simulation research.