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bots.st/food-near-me

Food Near Me

Find nearby verified restaurants and diet-safe options

2102 ms

answered our call

State
Answered
Protocol
MCP 2024-11-05
Tools listed
10
Answered
3 of the last 3 calls

How to reach it

  • MCP, HTTPhttps://foodnear.me/mcp

What it can do

ToolWhat it says it does
compare_restaurants_for_dietCall this tool when the user wants a side-by-side dietary comparison for 2 to 5 specific restaurants already identified in FNM results. Input Requirements (CRITICAL): `restaurant_ids` MUST be UUIDs copied from prior FNM responses, and `dietary` MUST include at least one supported dietary flag…
explore_area_for_dietCall this tool when the user wants a neighborhood overview that surfaces trust tiers explicitly — for example, "what's good for vegan eaters within a mile of this location" or "survey the area around X". Input Requirements (CRITICAL): `location` MUST be `{latitude, longitude}` (Google-style nested…
find_restaurants_along_routeCall this tool when the user wants route-adjacent dining options between two known coordinates and may care about dietary fit. Input Requirements (CRITICAL): both `origin` and `destination` MUST be `{latitude, longitude}` objects; optional `route_polyline` MUST be a valid encoded polyline if…
find_safe_places_near_meCall this tool when the user needs a place that is safe for a specific allergy or diet near a location — for example "where can my celiac kid eat near Brickell tonight". Input Requirements (CRITICAL): `location` MUST be `{latitude, longitude}`; `needs` MUST list one or more of `gluten_free`…
get_ado_score_breakdownCall this tool when a restaurant owner, operator, or agent wants to understand why a restaurant is more or less agent-ready. Input Requirements (CRITICAL): `restaurant_id` MUST be a UUID copied from a FNM result. Shows ADO (Agent Discovery Optimization) scoring across menu completeness, location…
get_menuCall this tool only when a `search_restaurants` or `get_restaurant` response has `menu_available: true`. Input Requirements (CRITICAL): `restaurant_id` MUST be a UUID copied from a prior FNM result. Returns the full menu in Menu Protocol v1.0 format with item dietary booleans, declared allergens…
get_restaurantCall this tool after `search_restaurants` when you need a detailed restaurant profile for a returned `id`. Input Requirements (CRITICAL): `restaurant_id` MUST be a UUID copied from a `search_restaurants` result; do not invent IDs. Returns Schema.org/Restaurant JSON-LD markup plus Menu Protocol…
get_safety_attestationCall this tool when you need a citable, tamper-evident allergy-safety statement for ONE restaurant — for example before telling a user a place is safe for a severe allergy. Input Requirements (CRITICAL): `restaurant_id` MUST be a UUID copied from a prior FNM result. Returns an explicit…
search_restaurantsCall this tool when the user wants restaurant or food discovery near a known location and may need menu trust signals. Input Requirements (CRITICAL): provide either flat `lat`/`lng` or Google-style `locationBias.circle.center.latitude`/`longitude`; if the user gave only a vague place name, resolve…
validate_menu_protocolCall this tool when validating a draft or exported Menu Protocol payload before submission or integration. Input Requirements (CRITICAL): provide a JSON object in `payload`; set `strict: true` when checking formal spec compliance, and leave strict false for exploratory debugging that should…

In its maker's words

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

Website
foodnear.me
Source
github.com/food-near-me/platform
Publisher
foodnear.me
Listed from
the official MCP Registry as me.foodnear/foodnear-me
Version
1.1.0, updated 18 Jul 2026
Kinds of work
Travel, maps and weather, Law, tax and government, Health and science

The domain it lives on

foodnear.me
registered 14 Apr 2018 (8 years ago), at NameCheap, Inc., its home page is a working site

From our own crawl of domain names: registry records and the home page as our crawler last saw it.

Every call we made

WhenWhat happenedTime
Answered2102 ms
Answered2205 ms
Answered933 ms

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