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Plans a shared evening for two people: places both would enjoy, ranked by Qloo's taste graph.
About
Plans a shared evening for two people: places both would enjoy, ranked by Qloo's taste graph.
Remote endpoints: streamable-http: https://taste-overlap.onrender.com/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
1 tool verified · Open access · No issues found
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Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-sooonic008-taste-overlap": {
"url": "https://taste-overlap.onrender.com/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Taste Overlap
Two people, a few favourites each (artists, films, shows, books, places). Qloo's taste graph ranks places in your city for person A, for person B and for both together. Taste Overlap keeps only the places that rank well for both (harmonic mean of the two affinities, so one-sided picks drop out), explains each pick with the shared taste tags, and orders them into an evening: something to do, food, then a drink.
Without Qloo there is nothing to show: the overlap is computed from Qloo's per-person affinities, not from an LLM guess.
Run
Needs Node.js 22.19+ and the official Qloo harness (the supported event surface):
npm install --global @qloo/qloo-harness # qloo --version >= 0.1.26
export QLOO_API_KEY=... # the hackathon key (or: qloo setup --qloo)
export QLOO_BASE_URL=https://hackathon.api.qloo.com
export QLOO_TRUSTED_BASE_URL=https://hackathon.api.qloo.com # the harness only sends a key to an approved endpoint
npm start # http://localhost:8787
Demo without credentials: QLOO_TRANSPORT=demo npm start replays a real recorded run (demo/vienna.json, 11 qloo exec calls) through the same code. Only that example works (Vienna; Radiohead + Wes Anderson / Taylor Swift + Studio Ghibli); other inputs return an error instead of invented places.
Optional: QLOO_TRANSPORT=rest with QLOO_API_KEY uses the direct REST client (src/qloo.js) instead; QLOO_BASE, PORT.
Use it from an agent (MCP tool)
Remote, nothing to install: the live demo also speaks MCP at https://taste-overlap.onrender.com/mcp (streamable HTTP, JSON answers). In claude.ai or the Claude app: Settings → Connectors → Add custom connector and paste that URL. Tool calls share the demo's per-visitor and daily limits.
Local (stdio):
Taste Overlap is also an agent tool: mcp-server.js is a dependency-free MCP stdio server with one tool, plan_shared_evening (city, person_a[], person_b[]). It returns the explained evening as text plus structured content, and any MCP client can call it:
claude mcp add taste-overlap -- node /path/to/taste-overlap/mcp-server.js # Claude Code
# or in claude_desktop_config.json / Cursor: {"command": "node", "args": ["/path/to/mcp-server.js"],
# "env": {"QLOO_API_KEY": "...", "QLOO_BASE_URL": "https://hackathon.api.qloo.com", "QLOO_TRUSTED_BASE_URL": "https://hackathon.api.qloo.com"}}
Without a key, QLOO_TRANSPORT=demo makes the tool answer the recorded Vienna example.
Test
node --test
How it works
src/mcp.js(default transport) - one long-runningqloo mcpprocess (the harness's canonical MCP adapter) serves every workflow asqloo_<op>; on a small host this takes ~0.5-1.2 s per call instead of >30 s for a freshqloo exec.QLOO_TRANSPORT=execswitches back to oneqloo execper call.src/harness.js- the Qloo workflows:recommend(target_type: place, the favourites assignals,filter_location: the city) for A, B and both;entity_tagsfor the tags that explain each pick. The harness resolves the names and validates input before calling Qloo; when a name is ambiguous (status: needs_input) the client takes Qloo's top-ranked non-album candidate, retries once with its entity id and returns that choice. Workflow names are fixed, user text goes in on stdin.- Each pick's reason comes from Qloo's per-result
explainability(signal.interests.entities): which favourites drove the place and by how much. src/demo.js- records and replays real harness envelopes for the credential-free demo.src/qloo.js(fallback) - resolves each favourite with/search, ranks places with/v2/insights(filter.type=urn:entity:place,signal.interests.entities,filter.location.query). The key is sent as a header from the server and never reaches the browser.src/overlap.js- pure logic: shared picks, reasons, evening order (unit-tested). Qloo returns at most 20 places per call, and two tastes can share none of them (measured: Berlin, Daft Punk + Christopher Nolan vs Adele + Pixar). Real overlaps come first; the rest is topped up from the joint list and labelled "combined taste". A place scored one-sided in both personal lists never comes back that way.src/plan.js- three Qloo calls (A, B, both) -> overlap -> explained plan.server.js- dependency-free Node server, servespublic/andPOST /api/plan.mcp-server.js- the same plan as an MCP tool for agents;src/transport.jspicks the Qloo transport for both.
License
MIT
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