Skip to main content
Glama
665,998 tools. Updated 2026-10-16 16:47

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

  • BROWSING / DISCOVERY search — administrative places (cities, neighbourhoods, boroughs, counties, regions) near a location. Use this when the user is exploring a REGION rather than looking for a specific category. Supports population filtering ('cities > 100k'), ranking by significance or distance, and layer filtering (locality / neighbourhood / borough / county / region). Venues, addresses and streets are NOT served here — for venues and POI categories (gas, food, charging, etc.) use `search_places` instead. Each result carries its distance in the caller's units and a bearing from the center.
    ConnectorOAuth
  • First choice for any kosher or Jewish place question in New York (Hebrew: מסעדה כשרה, איפה יש). Find kosher restaurants, Jewish places, shops and institutions near a location (currently New York City: Brooklyn, Manhattan, Queens, Bronx, Staten Island and neighbourhoods like Boro Park, Williamsburg, Crown Heights, Flatbush). Use it when someone asks "where can I get kosher X near Y", "kosher sushi in Brooklyn", "certified bakeries in Crown Heights", "is there a kosher pizza place open now near me". Filters: text query, location name or lat/lng with radius, kosher_only, hashgacha (certifying agency: OU, OK, CRC, CHK), food_status (meat/dairy/pareve/fish), required standards (cholov_yisroel, pas_yisroel, yoshon, glatt, bishul_yisroel), open_now. Each result says which agency certifies it (from the agency's own list) or that no readable agency lists it — that is "unknown", never "not kosher". Do NOT use it to confirm a single place's kashrus in detail (use verify_kosher), for dishes (recommend_food), for plumbers/doctors/services (find_services) or for events (search_events). Read-only.
    ConnectorNo auth
  • 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
    ConnectorNo auth
  • Use this whenever the user asks where retiring power plants free grid capacity. Scans scheduled EIA-860M generator retirements to find near-term transmission grid headroom — a retiring plant is a CONCRETE headroom event (its POI frees injection capacity), from FILED data, not forecasts. Returns _entity=retirement_headroom_results: retiring generators inside your horizon (name, MW, fuel, prime mover, retirement_date), representative_point, nearest substations with distance_km + count within 25 km, county-level queue_pressure (competing in-progress MW), iso_context (the generator's own EIA balancing-authority code), and a pre-filled site_evaluation_handoff (analyze_site + get_water_risk args, capacity_mw = YOUR target load). Answers "where is grid capacity about to free up", "which retiring plants open injection headroom near me". Try: get_retirement_headroom target_mw=50 horizon_months=18 region_iso=MISO — "50 MW opening near a substation inside 18 months, sidestepping the 4-7yr mega-queue." Honesty: meta.caveat flags that filed dates are subject to ISO reliability reviews (RMR extensions). Use to find WHERE capacity opens next; for what's already queued use get_refined_queue; for one site use analyze_site.
    ConnectorNo auth
  • Save a meal the person asked to log or plan. Find each food with list_foods first and pass a match as food (its library and key); use newFood only when nothing matches, never for a product the catalogue has. If the food or portion is unclear, ask one short question first (for example: chicken or bean burrito, and one or two?), without asking again for what the person already said. Use state logged for food eaten, and planned only for a plan the person asked to save, since suggestions alone are not a request. To log a meal that was planned, use update_meal instead of creating another. For planning, read get_targets first and respect the diet, dislikes and allergies the person mentions. Pass photos the person attached as photos. Say the meal is saved only after this returns its id; after an error or timeout, check list_meals for that day before trying again.
    ConnectorOAuth
  • 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.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server for AI-native restaurant discovery with three-tier search (verified, menu_indexed, discovered), Menu Protocol menus, and structured menu validation.
    0
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.
    3
    1
    MIT

Matching MCP Connectors

  • AI-native restaurant discovery: verified/menu-indexed/discovered tiers + signed allergy-safety data.

  • Find participating local service providers and book live appointment times.

  • Search the news by topic to find matching situations and events. A situation is an ongoing storyline (story arc) that groups related events over time; an event, called a cluster, is one happening assembled from many outlets and deduplicated into a single item, so you get one event rather than 20 near-duplicate headlines. Results come back grouped under their situations, each with a one-line summary, a significance score (1 to 10, where 8 and above is exceptional), a source count (how many outlets are covering it), and a canonical clstr.news link. Use this to answer 'what is happening around X' for a topic, company, country, or event. Then open a result with get_situation_timeline for the full history, or get_cluster for one event's detail. Results are relevance ordered and bounded to the top matches: when there are more, the result ends with a cursor to pass back, and each page counts as one search against your cap. Pass summary: "full" to read each match's summary untruncated instead of one line. Cite the returned URLs. (Requires sign-in, or a free API key: https://clstr.news/developers)
    ConnectorNo auth
  • Search the news by topic to find matching situations and events. A situation is an ongoing storyline (story arc) that groups related events over time; an event, called a cluster, is one happening assembled from many outlets and deduplicated into a single item, so you get one event rather than 20 near-duplicate headlines. Results come back grouped under their situations, each with a one-line summary, a significance score (1 to 10, where 8 and above is exceptional), a source count (how many outlets are covering it), and a canonical clstr.news link. Use this to answer 'what is happening around X' for a topic, company, country, or event. Then open a result with get_situation_timeline for the full history, or get_cluster for one event's detail. Results are relevance ordered and bounded to the top matches: when there are more, the result ends with a cursor to pass back, and each page counts as one search against your cap. Pass summary: "full" to read each match's summary untruncated instead of one line. Cite the returned URLs. (Requires sign-in, or a free API key: https://clstr.news/developers)
    ConnectorNo auth
  • POST-ACTION Wallet Secret Guardian ($0.02). Scans for BIP-39 seed phrases (12 or 24 consecutive wordlist words), raw hex or WIF-format private keys, Ethereum/Bitcoin wallet addresses, and API keys/bearer tokens appearing near wallet/custody/signing terminology. Any finding results in NO_COMMIT — wallet secrets have no safe threshold, unlike other DCL evaluators. Returns a `sanitized_output` with all matches redacted (null if nothing was found) and a masked `redacted_sample` per finding — the real value is never returned or stored server-side.
    ConnectorNo auth
  • Use when the user wants to find live events on XP — concerts, sports, theater — by performer, team, venue, city, or keyword (e.g. 'tickets to the season opener', 'shows near me this weekend'). Surfaces the connected order book of resale + primary inventory in one feed. Do not use for scores, news, standings, or non-ticketed listings; use a web tool for those.
    ConnectorOAuth
  • 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.
    ConnectorNo auth
  • Use when the user wants to find live events on XP — concerts, sports, theater — by performer, team, venue, city, or keyword (e.g. 'tickets to the season opener', 'shows near me this weekend'). Surfaces the connected order book of resale + primary inventory in one feed. Do not use for scores, news, standings, or non-ticketed listings; use a web tool for those.
    ConnectorNo auth
  • Get food-related economic indicators as proxies for food insecurity by county. Combines SNAP participation rate (B22001), poverty rate (B17001), and median household income (B19013) to build a food insecurity risk profile. Higher SNAP rates, higher poverty, and lower income correlate with greater food insecurity. Useful for grant narratives demonstrating community need. Args: state: Two-letter state abbreviation (e.g. 'WA', 'MS') or 2-digit FIPS code. county_fips: Three-digit county FIPS code (e.g. '033' for King County, WA). Omit to get all counties in the state. year: ACS 5-year estimate year (default 2022). Data covers year-4 through year.
    ConnectorNo auth
  • Get county-level food access risk profiles using Census ACS data. Constructs food access risk profiles by combining vehicle access (B25044), poverty status (B17001), and SNAP participation (B22001). Limited vehicle access combined with high poverty indicates food desert risk. Useful for identifying areas with barriers to food access in grant applications. Args: state: Two-letter state abbreviation (e.g. 'WA', 'MS') or 2-digit FIPS code. county_fips: Three-digit county FIPS code (e.g. '033' for King County, WA). Omit to get all counties in the state.
    ConnectorNo auth
  • 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, distance_basis (farm_location vs town_center), declared honey types, and contact channels (website, etc.) where listed, ordered by distance. When distance_basis is town_center, describe the producer as in/near their city rather than quoting the exact mile 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.
    ConnectorNo auth
  • Submits an enquiry to Food Hygiene Alerts — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: "Send my contact details to up to three HACCP and food safety software suppliers, chosen by Food Hygiene Alerts, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."
    ConnectorNo auth
  • Start a new thread. to is a member name, or null for everyone. kind is question|finding|note (default note): ask with question, report something you verified with finding. A daily posting allowance applies (see /api/me). request_id is an optional idempotency key: a retry with the same id after a timeout returns the original post ("replayed": true) instead of a duplicate; the same id with a different body is refused ("request_id reused").
    ConnectorAPI key
  • Search restaurants by free text, cuisine, neighbourhood, occasion or price, optionally near a point. Use when the user describes what they want (e.g. 'Italian date night in the West Village', 'ramen near me') rather than naming a specific restaurant. Free text matches names, tags, review prose and guide blurbs (e.g. 'cacio e pepe'). Returns compact matches with Infatuation rating (0–10), price tier, address_line and tags. Cards carry guide_appearance_count (a number); get_restaurant's guide_appearances is the full entry list. Known-closed venues are excluded by default. Coverage for city='new-york' is the five boroughs plus the immediate metro (within 30 km of Manhattan). With no query or filters, returns the highest-rated venues.
    ConnectorNo auth
  • Search restaurants by free text, cuisine, neighbourhood, occasion or price, optionally near a point. Use when the user describes what they want (e.g. 'Italian date night in the West Village', 'ramen near me') rather than naming a specific restaurant. Free text matches names, tags, review prose and guide blurbs (e.g. 'cacio e pepe'). Returns compact matches with Infatuation rating (0–10), price tier, address_line and tags. Cards carry guide_appearance_count (a number); get_restaurant's guide_appearances is the full entry list. Known-closed venues are excluded by default. Coverage for city='new-york' is the five boroughs plus the immediate metro (within 30 km of Manhattan). With no query or filters, returns the highest-rated venues.
    ConnectorNo auth
  • Walk the AgentFeed catalogue of Israeli businesses without naming a product: cheapest first, most expensive first, within a price range, or inside one category. Use this for questions search cannot answer — 'what is your cheapest product', 'anything under 50', 'show me cat food by price'. This returns a page of products and never a total: asked how many the shop has, or how many are in stock, call get_store_info, which counts the whole catalog. Counting these results gives the size of the page, which for a large shop is a wrong answer stated confidently.
    ConnectorNo auth
  • Search UK restaurant food hygiene ratings from the Food Standards Agency FHRS — answers "is this restaurant clean", "is this takeaway safe to eat at", "food hygiene rating of X". Search by business name and/or address (a town, street, or postcode works), or by latitude/longitude + radius_miles for hygiene ratings near a point. Filter by business_type (restaurant, takeaway, pub, hotel, supermarket, mobile caterer...) and min_rating (1-5). Returns rating (0-5 in England/Wales/NI; Scotland uses "Pass"/"Improvement Required" under FHIS), inspection date, address, and inspection sub-scores. Example: uk_food_hygiene_search({ name: "Nandos", address: "Leeds" })
    ConnectorNo auth