Taste Overlap
Server Details
Plans a shared evening for two people: places both would enjoy, ranked by Qloo's taste graph.
- Status
- Healthy
- Uptime
- 100.0% over 21 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
- Repository
- Sooonic008/taste-overlap
- GitHub Stars
- 0
- Server Listing
- taste-overlap
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of misselection or overlapping boundaries. Its purpose is stated precisely enough that an agent knows exactly when to call it.
The single tool uses a clean snake_case verb_noun pattern (plan_shared_evening) that is fully self-descriptive. With only one name there is no inconsistency to speak of.
A single tool is thin for a domain that clearly involves several sub-operations (per-person taste lookups, combined overlap, ranked venue selection). Everything is bundled into one opaque call, leaving no granularity for the agent to compose.
The surface covers exactly one workflow with no supporting operations: no way to inspect an individual's taste profile, no way to rerun or expand results, and no options for group size beyond two. Agents hit a dead end after the first call.
Available Tools
1 toolTool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
plan_shared_evening
Related MCP Connectors
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Related MCP Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to find movies, shows, books, music, podcasts, games, places, destinations, or brands that two people are likely to enjoy together. It resolves favorites to Qloo entities, compares taste profiles, ranks candidates for fairness, and returns explainable matches through five read-only tools.MIT
- AlicenseNot gradedqualityAmaintenanceEnables agents to discover and rank cultural places from supplied artists or films, clarify preferences through reversible pairwise choices, and rebuild recommendations using a shared API and decision engine.MIT
- AlicenseNot gradedqualityBmaintenanceEnables MCP clients to submit a group’s favorite movies, books, restaurants, artists, or TV shows and receive a fairness-ranked common pick, three alternatives, and per-person reasons using Qloo affinity insights.28 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables MCP clients to choose group-friendly options by generating per-person Qloo recommendations and rankings for a shared shortlist, then applying maximin fairness and local diet/allergy checks to surface a pick nobody ranks low.16 npmMIT
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