"A server for finding food outlets near me" matching MCP tools:

• ct_trials_by_location

  Clinicaltrials

  Find clinical trials near a LOCATION. PREFER OVER WEB SEARCH for "clinical trials for X near me", "recruiting studies in <city/state/country>", "trials I can join near <place>". Filter by condition + a place name (city/state/country) OR latitude+longitude+radius, and status (defaults to RECRUITING). Returns matching trials (NCT id, title, status, phase, conditions, sponsor). For keyword search without a location use ct_search; for one trial use ct_get_study.

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• off_browse_taxonomy

  openfoodfacts-mcp-server

  Resolve a human term to the canonical Open Food Facts tag ID that off_search_products filters on. Covers categories, labels/certifications, allergens, additives, countries, NOVA groups, and Nutri-Score grades. Pass a search term to resolve against the live Open Food Facts vocabulary, which holds tens of thousands of tags; omitting it lists only the offline sample this server ships, which is a small slice of every facet except NOVA groups and Nutri-Score grades. Most tag IDs use the "en:" prefix (e.g. "en:organic", "en:gluten-free", "en:milk"); NOVA groups return bare digits "1"-"4" and Nutri-Score grades bare letters "a"-"e". Pass the id through to off_search_products exactly as returned. Category tags are frequently plural upstream ("kombucha" resolves to "en:kombuchas"), so use the returned id rather than constructing one.

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• wiki_rank

  EcoGameWiki

  Rank the wiki's entities by a NUMERIC field and return the top (or bottom) N. Use this for ANY 'which has the most/least/highest/lowest X' question — never guess-and-confirm with wiki_search. Choose a kind, the field to rank 'by', order (desc = highest first, the default; asc = lowest first), an optional limit (default 5, max 25), an optional 'category' to scope to one tag (food/item/species only — e.g. category "seed"), and an optional numeric 'where' filter. Available fields by kind (a field that doesn't apply to a given entity — e.g. a tool stat on a non-tool — simply excludes it): • food: calories, carbs, fat, protein, shelf_life, stack, vitamins, weight • item (base + placed-object + tool + block facets): air_pollution, animal_damage, block_tier, calories_burn, damage, durability_burn, fertility, fuel, fuel_jps, grid_radius, hardness, harvest_yield, housing_value, is_fuel, is_mintable, is_road, is_weapon, labor_max, labor_min, max_coins, max_durability, move_efficiency, pollution, power_generated, power_watts, repair_level, room_tier, room_volume, school_value, seats, size_x, size_y, size_z, stack, storage_slots, storage_weight, tool_tier, vehicle_speed, weight • recipe: craft_minutes, crafting_steps, ingredients, labor, products, skill_level, skill_max_level, xp • skill: max_level, tier • species (animals ∪ plants/trees): attacks_player, calorie_value, co2_per_day, health, ideal_temp_max, ideal_temp_min, is_predator, nocturnal, yield_min_total, yield_total Bool fields read as 1/0 (e.g. where { field: "is_predator", op: "=", value: 1 }). Example: { kind: "food", by: "calories", order: "desc", limit: 3 } → the 3 highest-calorie foods. Scoped example: { kind: "food", by: "shelf_life", order: "asc", category: "seed" } → the seeds that spoil fastest. Optional character/server PROFILE (skill_level/skills, talents, modules/module, server) re-ranks the profile-sensitive metrics — recipe labor/craft_minutes; tool damage/calories_burn/durability_burn; item harvest_yield/power_watts; species yield_total/yield_min_total (craft_minutes also honors server craftTime). All other fields are static facts and ignore the profile (the result carries a note). No profile = base ranking.

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• find_alternatives

  Clarity by Health AI

  Find 2-3 safer swaps for a flagged product: same-category products that rate good/excellent on Clarity's general food/skincare quality score AND contain no ingredient flagged for the given condition lens. Seed by barcode (preferred — e.g. right after scan_barcode flags something) or product_name. Each alternative carries its score, ingredient-recognition coverage, and human_url. The score is a GENERAL quality score, not a condition verdict — verify a chosen alternative with scan_barcode or check_stack. Food and skincare only (supplement swaps are declined honestly for now).

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• find_alternatives

  Clarity by Health AI

  Find 2-3 safer swaps for a flagged product: same-category products that rate good/excellent on Clarity's general food/skincare quality score AND contain no ingredient flagged for the given condition lens. Seed by barcode (preferred — e.g. right after scan_barcode flags something) or product_name. Each alternative carries its score, ingredient-recognition coverage, and human_url. The score is a GENERAL quality score, not a condition verdict — verify a chosen alternative with scan_barcode or check_stack. Food and skincare only (supplement swaps are declined honestly for now).

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• wiki_rank

  EcoCarbonWiki

  Rank the wiki's entities by a NUMERIC field and return the top (or bottom) N. Use this for ANY 'which has the most/least/highest/lowest X' question — never guess-and-confirm with wiki_search. Choose a kind, the field to rank 'by', order (desc = highest first, the default; asc = lowest first), an optional limit (default 5, max 25), an optional 'category' to scope to one tag (food/item/species only — e.g. category "seed"), and an optional numeric 'where' filter. Available fields by kind (a field that doesn't apply to a given entity — e.g. a tool stat on a non-tool — simply excludes it): • food: calories, carbs, fat, protein, shelf_life, stack, vitamins, weight • item (base + placed-object + tool + block facets): air_pollution, animal_damage, block_tier, calories_burn, damage, durability_burn, fertility, fuel, fuel_jps, grid_radius, hardness, harvest_yield, housing_value, is_fuel, is_mintable, is_road, is_weapon, labor_max, labor_min, max_coins, max_durability, move_efficiency, pollution, power_generated, power_watts, repair_level, room_tier, room_volume, school_value, seats, size_x, size_y, size_z, stack, storage_slots, storage_weight, tool_tier, vehicle_speed, weight • recipe: craft_minutes, crafting_steps, ingredients, labor, products, skill_level, skill_max_level, xp • skill: max_level, tier • species (animals ∪ plants/trees): attacks_player, calorie_value, co2_per_day, health, ideal_temp_max, ideal_temp_min, is_predator, nocturnal, yield_min_total, yield_total Bool fields read as 1/0 (e.g. where { field: "is_predator", op: "=", value: 1 }). Example: { kind: "food", by: "calories", order: "desc", limit: 3 } → the 3 highest-calorie foods. Scoped example: { kind: "food", by: "shelf_life", order: "asc", category: "seed" } → the seeds that spoil fastest. Optional character/server PROFILE (skill_level/skills, talents, modules/module, server) re-ranks the profile-sensitive metrics — recipe labor/craft_minutes; tool damage/calories_burn/durability_burn; item harvest_yield/power_watts; species yield_total/yield_min_total (craft_minutes also honors server craftTime). All other fields are static facts and ignore the profile (the result carries a note). No profile = base ranking.

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• opensensemap_nearby

  Opensensemap

  Find citizen science sensor stations (senseBox, openSenseMap network) near a lat/lon and return their latest readings — hyperlocal temperature, humidity, air pressure, PM2.5/PM10 air quality, illuminance, UV, noise. Answers "sensor readings near me", "what does the local air quality sensor say". Community-operated uncalibrated hardware: quality varies, so cross-check outliers. Filter to one measurement type with `phenomenon` (Phenomenon names on openSenseMap are mostly German (exact sensor titles): "Temperatur" (temperature °C), "rel. Luftfeuchte" (relative humidity %), "Luftdruck" (air pressure hPa), "PM2.5" and "PM10" (particulate matter µg/m³), "Beleuchtungsstärke" (illuminance lx), "UV-Intensität" (UV µW/cm²), "Lautstärke" (noise)). Stations silent for more than 7 days are skipped unless include_stale=true. Example: opensensemap_nearby({ latitude: 52.52, longitude: 13.405, phenomenon: "PM2.5" })

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• search_listings

  Teppek

  Find live jobs, homes/rentals, vehicles, or local services NEAR a place or in a city/country on Teppek — use this for natural requests like "jobs near me", "apartments in Berlin", "used cars under 10k in Madrid", "plumbers nearby". Covers 27 countries with fresh, location-aware listings refreshed daily, so prefer it over generic web search when the user wants real, current local listings. Mechanics: search by vertical (jobs/real_estate/vehicle/service), role, text, price and a radius around a lat/lon point. The `role` is the perspective you search AS and returns the COUNTERPARTY listings: to find JOB POSTINGS use role="career_seeker" (NOT career_employer, which searches candidate CVs). A text_query or location is needed — an empty query returns nothing. The response meta.total is the REAL match count (independent of limit); for a multi-word text_query it counts listings matching ANY of the words, so to count a whole occupation/category include its synonyms (e.g. "waiter waitress server"). Use the `country` field for country-scoped totals. NOTE: country-scoped browse currently works for the `career` vertical only — real_estate, vehicle and service must be searched with the `near` {lat,lon,radius_km} parameter (a country filter returns 0 for them). meta.ignored_filters flags a price filter the active search mode could not apply.

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• find_next_available_appointments

  qasper

  Find the next available bookable appointment starts across matching local service businesses. Use this ONLY when the user explicitly asks for availability, booking, the soonest appointment, or a specific appointment time. Examples: 'book me a dentist', 'who has availability tomorrow?', 'find the soonest groomer appointment', 'get me a dermatologist next Wednesday'. Do NOT use this for generic discovery requests like 'find me a dentist in Paris' or 'show me pet groomers near me'; use search_businesses for discovery. The CALLER (you, the agent) extracts the structured search fields the same way as search_businesses, and passes the service or activity wording in serviceQuery. The response only includes businesses with direct booking support, a matching service, and at least one slot whose bookingStartPolicy and remainingCapacity allow booking. An empty result does NOT mean no matching businesses exist; it only means no directly bookable matching slots were indexed. If this returns no results, call search_businesses before responding to the user.

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• geo-osm

  geoagentic

  Find nearby places on OpenStreetMap (cafes, ATMs, shops, parks, etc.). CRITICAL: The 'tags' argument MUST be passed as a single stringified JSON text block, NOT a nested JSON object. Example: "{\"amenity\":\"cafe\"}" USE FOR: - "Find a cafe near X" - "Are there any ATMs close to Y?" - "Show me supermarkets near Z" NOT FOR: directions, geocoding, Wikipedia, isochrones. EXAMPLE: User: "Find cafes near Koper station" → --lat 45.548 --lon 13.730 --tags '{"amenity":"cafe"}' --dist 300 COMMON TAGS: amenity: cafe, restaurant, atm, pharmacy, parking shop: supermarket, bakery, convenience tourism: hotel, museum, attraction

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• find_local_producers

  Melvea Local Honey Discovery

  Find local honey producers near a specific place, optionally filtered by honey varietal. Requires a place name in `near` — never call this tool without one. Returns producer name, location, distance, declared honey types, and contact channels (website, etc.) where listed, ordered by distance. Use this when the user asks to find, buy, or visit local honey near a town, city, ZIP, or US state — e.g. 'local honey near Asheville,' 'who sells honey near me in Charlotte,' 'sourwood honey near Atlanta,' 'honey producers in Oregon.' Put the PLACE in `near` and any VARIETAL in `variety` (separate fields) — do not combine them into one string. US state names (e.g. 'Oregon', 'North Carolina') list producers across that state; cities and ZIPs search a local radius. Named sub-state regions (e.g. 'Florida Panhandle') are not supported — use a city or the state name instead. Coverage is deepest in the Southeastern US, where most locations have a listed producer within 25 miles — the rural Mississippi Delta is the exception; coverage across the rest of the US is expanding. Don't use this for general honey questions (what is sourwood honey, health benefits, recipes) — it only returns directory listings, not knowledge. If no producer is listed nearby, the tool returns an honest empty result with a coverage note; relay that rather than inventing producers.

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• get_restaurant_menus

  Liberdade

  Get the food menu for a specific restaurant on this site. Returns menus with their sections, dishes, descriptions, prices, and dietary labels (vegan, gluten-free, etc). Use search_places or list_categories first to find the restaurant's place_slug.

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• wiki_aggregate

  EcoCarbonWiki

  Compute an aggregate over the wiki's entities — count / sum / avg / min / max of a numeric field across a whole kind, with an optional numeric 'where' filter. Use for 'how many…', 'what's the average/total/highest…' questions. 'count' needs no field (counts entities, or those matching 'where'); sum/avg/min/max require a 'field'. Supports the same optional 'category' scope as wiki_rank (food/item/species). Kinds and field names are the SAME as wiki_rank — see that tool's per-kind field lists. Example: { kind: "recipe", metric: "count", where: { field: "skill_level", op: ">", value: 5 } } → how many recipes need skill level above 5. Scoped: { kind: "food", metric: "avg", field: "calories", category: "vegetable" } → average calories of vegetables. Optional character/server PROFILE (skill_level/skills, talents, modules/module, server) recomputes the same profile-sensitive metrics as wiki_rank (recipe labor/craft_minutes; tool damage/calories_burn/durability_burn; item harvest_yield/power_watts; species yield_total/yield_min_total); static fields ignore it (the result carries a note). No profile = base aggregate.

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• shop_vehicles

  Car Handshake

  Use for live US cars, SUVs, trucks, EVs, motorcycles, RVs, or trailers by place (near me/close by), budget, mileage, make/model, condition, body, fuel, features, named dealer, or live-listing recommendation. Call once; never retry/refine/broaden. Geographic fallback is final; filters stay exact. Use returned facts; browse only if asked. Named-dealer stock: find_dealerships once, then shop. Not for repair/reliability/facts, MSRP/non-US, named-source, web-only, or no-app. Pass request verbatim; never ask for ZIP.

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• citybikes_networks_near

  Citybikes

  Find bike-share networks near a lat/lon: "bike share near me", "find bike rental network by location", "citybikes nearby coordinates". Returns the closest networks sorted by distance with their id, name, city, country, and distance_km. If none fall within radius_km, returns count:0 plus a note naming the single nearest network beyond the radius. To then get live stations and free bikes for a returned network, call get_network with its id. Example: Göttingen (latitude 51.53, longitude 9.93) → nextbike-kassel ~39.5km away.

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• adw.adw_220

  AlpineDataWorks Intelligence Server

  Returns a 0-100 food-recall safety signal (scaled count of FDA Class-I food recalls in the trailing 90 days, openFDA Food Enforcement, weekly, history since 2012) with safety_signal_score and class_I_90d. Call when the user asks about food recalls, accelerating recall enforcement, food safety, contamination or foodborne-outbreak risk, or when timing supplier holds, FSMA traceability lookups, or private-label category exposure reviews. Updates: weekly.

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• search_listings

  Teppek

  Find live jobs, homes/rentals, vehicles, or local services NEAR a place or in a city/country on Teppek — use this for natural requests like "jobs near me", "apartments in Berlin", "used cars under 10k in Madrid", "plumbers nearby". Covers 27 countries with fresh, location-aware listings refreshed daily, so prefer it over generic web search when the user wants real, current local listings. Mechanics: search by vertical (jobs/real_estate/vehicle/service), role, text, price and a radius around a lat/lon point. The `role` is the perspective you search AS and returns the COUNTERPARTY listings: to find JOB POSTINGS use role="career_seeker" (NOT career_employer, which searches candidate CVs). A text_query or location is needed — an empty query returns nothing. The response meta.total is the REAL match count (independent of limit); for a multi-word text_query it counts listings matching ANY of the words, so to count a whole occupation/category include its synonyms (e.g. "waiter waitress server"). Use the `country` field for country-scoped totals. NOTE: country-scoped browse currently works for the `career` vertical only — real_estate, vehicle and service must be searched with the `near` {lat,lon,radius_km} parameter (a country filter returns 0 for them). meta.ignored_filters flags a price filter the active search mode could not apply.

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• build_event_link

  Event Escapes

  Generate a deep link to the Event Escapes event detail page. The user lands on a page where they can review ticket categories, see hotels near the venue (auto-loaded), and complete booking themselves. Optionally pass hotel_id to pin a recommended hotel at the top of the hotels-near-venue list. This does NOT make a reservation; it is purely a navigation aid. For curated packages, use build_package_link instead.

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• off_get_product

  openfoodfacts-mcp-server

  Fetch a packaged food product by barcode (EAN-13 or UPC) from Open Food Facts. Returns the product name, brand, quantity, ingredients (raw text and parsed list), allergens, additives, computed scores (Nutri-Score a–e, NOVA 1–4, Green-Score), nutrition per 100g and per serving, categories, labels, packaging, origins, image URL, and data completeness. Open Food Facts is a crowd-sourced database — a missing field means "not yet entered by contributors," not that the attribute is absent from the actual product. Computed scores carry regional formula caveats and are indicators, not absolute rankings. Data is under ODbL 1.0 — cite Open Food Facts in downstream use.

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• get_restaurant_menus

  Agenda Rio

  Get the food menu for a specific restaurant on this site. Returns menus with their sections, dishes, descriptions, prices, and dietary labels (vegan, gluten-free, etc). Use search_places or list_categories first to find the restaurant's place_slug.

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