Futrumi

Czech restaurant expert tips

Category: Pending
Primary Subcategory: Pending

Integration details

Description

Futrumi is a Czech food-tip platform: named food critics, chefs, sommeliers and gastronomy journalists share where they actually like to eat and drink, and the exact dish or drink they recommend. This plugin brings that curated, published data into ChatGPT, so you can ask where to eat in Vinohrady tonight, or what Michal Danek recommends, and get real expert opinions instead of aggregated review scores. Every result carries the expert's name, their quote in the original Czech, the venue with address and opening hours, and a link to open it in the Futrumi app. Coverage spans restaurants, cafes, bars, bakeries and wine shops, primarily in Prague and Brno. Data covers Czechia only. A question about Vienna or Bratislava returns an explicit "no recommendations found" rather than a guess. Quotes stay in the original Czech so the expert's wording is preserved, and ChatGPT can translate them on request. Everything served is already published in the Futrumi app, with no private or pre-publication content. The plugin is read-only and anonymous: no account, no API key.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Unknown
Access: No account required
First tracked: 2026-09-24
Tool count: 6
Geography: US

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Futrumi has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.

Tools

6 tools agents can invoke

Geo-only lookup: return expert-recommended businesses near a point, sorted by distance. Use this when the user just wants to know "what good places are around X" without a specific cuisine/category. For category- or vibe-specific queries use search_recommendations instead. Returns markdown.
find_recommendations_near
Return an expert's bio plus a list of their recommendations (business name, address, quote, meals). Use when the user asks about a specific expert.
get_expert
Return full details for a single business: address, opening hours, web/menu/phone/social links, featured quotes, photos (venue, per-dish, and other expert photos), and every expert recommendation about it. Use when the user is zeroing in on one place or wants to see its photos.
get_business
Return the full text of a single expert recommendation including the strong quote, the long description, meals with their descriptions and photos, any other photos, publish date, and business basics. Use after search_recommendations when the user wants more depth on one specific tip.
get_recommendation
Paginated directory of all Futrumi experts with their bio and recommendation count. Use this when the user asks who's behind the recommendations, or wants to browse by expert.
list_experts
Search and rank expert-recommended restaurants/cafes/bars/etc around a location. Use this when the user asks for a specific cuisine, meal, occasion, vibe, or category ("good ramen in Vinohrady", "brunch in Brno", "vinný bar na rande"). Pass the user intent in `query`; the server ranks candidates by semantic-ish food/occasion relevance before returning markdown. The data is Czech-only and includes only PUBLISHED recommendations.
search_recommendations

Futrumi FAQ

How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.

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Competitive lineup

6 tools agents can invoke