Food Near Me
listed under this name in a public catalogue; the server gives only its address, foodnear.me
Registry code: 009e5255a252861a
AI-native restaurant discovery with verified Menu Protocol data.
from a public catalogue that lists it, not from the operator
- endpoint
- https://foodnear.me/mcp
- protocol
- streamable-http ·2024-11-05
- authentication
- none observed
- public key
- none — nobody has proven they own this listing
- karma
- 0 · newcomer
last good check
of 9 tools
- topic
- lifestyle & home food & drink
- used for
- compare restaurants by diet
- explore restaurants in an area
- find restaurants along a route
- get restaurant menu
- get restaurant details
- takes → gives
- data → data
- tools
- 9 reads
The one measurement on this page that an operator cannot produce by editing a file on its own server: somebody else chose it, and paid to. Read the accounts before the calls — volume from one account is one relationship, and calling yourself is the cheap half. Both are what the ranking is built from, printed so the order can be checked rather than taken on trust.
distinct, expensive to fake
successful, last 30 days
Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.
search_restaurants reads unknown 44m ago
Call 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 it before calling or include a specific city/region in `textQuery`/`query`. Returns verified venues first, then menu_indexed (automated MP menu with caveat), then discovered (place only). MUST use `menu_available` and `verification_status` on each result; call `get_menu` only when `menu_available` is true. PREFER verified results for dietary/allergen answers. NOTE: `dietary` and `min_ado_score` filters only apply to the verified tier; menu_indexed and discovered rows are returned unfiltered for those criteria — the response echoes `filters.applied_to: ["verified"]` and a `filters.note` so agents know to re-filter at item level using `get_menu`. Non-verified rows include a structured `claim_invitation` (url, message, audience="owner_or_advocate", reason); SHOULD surface this when the user is the restaurant's owner or might know them, when the user asks why the listing lacks a verified menu, or when explaining tier differences — never as an unsolicited CTA. Attribute grounded output using `citation` or `attribution`.
{ "type": "object", "anyOf": [ { "type": "object", "required": [ "lat", "lng" ], "properties": { "lat": { "type": "number", "maximum": 90, "minimum": -90, "description": "Latitude of search center (-90 to 90)" }, "lng": { "type": "number", "maximum": 180, "minimum": -180, "description": "Longitude of search center (-180 to 180)" }, "query": { "type": "string", "description": "Food type, cuisine, or restaurant name. Examples: 'thai', 'pizza', 'sushi', 'vegan burgers'. Leave empty to search all cuisines." }, "dietary": { "type": "array", "items": { "enum": [ "vegan", "vegetarian", "gluten_free", "halal", "kosher", "nut_free", "dairy_free", "low_carb", "keto" ], "type": "string" }, "description": "Filter by dietary certifications. Multiple filters use AND logic. Only applies to the verified tier; menu_indexed and discovered rows pass through unfiltered." }, "textQuery": { "type": "string", "description": "Google Maps MCP-compatible alias for query. Normalized to query internally." }, "regionCode": { "type": "string", "description": "Google Maps MCP-compatible CLDR region hint (for example, US). Accepted and echoed; FNM is US/English-only in v1." }, "text_query": { "type": "string", "description": "Snake_case alias for textQuery, accepted because Google's prose examples use this form." }, "region_code": { "type": "string", "description": "Snake_case alias for regionCode." }, "languageCode": { "type": "string", "description": "Google Maps MCP-compatible locale hint (ISO 639-1, optionally with region). Accepted and echoed; FNM is US/English-only in v1." }, "radiusMeters": { "type": "number", "description": "Google Maps MCP-compatible search radius in meters." }, "radius_miles": { "type": "number", "description": "Search radius in miles. Default: 5, Max: 50. Values outside (0.1, 50) are clamped, not rejected." }, "language_code": { "type": "string", "description": "Snake_case alias for languageCode." }, "min_ado_score": { "type": "number", "description": "Minimum ADO score (0.0-5.0). Higher scores indicate better agent-readiness. Only applies to the verified tier. Out-of-range values are clamped." }, "radius_meters": { "type": "number", "description": "Snake_case alias for radiusMeters." } }, "additionalProperties": false }, { "type": "object", "required": [ "locationBias" ], "properties": { "query": { "type": "string", "description": "Food type, cuisine, or restaurant name. Examples: 'thai', 'pizza', 'sushi', 'vegan burgers'. Leave empty to search all cuisines." }, "dietary": { "type": "array", "items": { "enum": [ "vegan", "vegetarian", "gluten_free", "halal", "kosher", "nut_free", "dairy_free", "low_carb", "keto" ], "type": "string" }, "description": "Filter by dietary certifications. Multiple filters use AND logic. Only applies to the verified tier; menu_indexed and discovered rows pass through unfiltered." }, "textQuery": { "type": "string", "description": "Google Maps MCP-compatible alias for query. Normalized to query internally." }, "regionCode": { "type": "string", "description": "Google Maps MCP-compatible CLDR region hint (for example, US). Accepted and echoed; FNM is US/English-only in v1." }, "text_query": { "type": "string", "description": "Snake_case alias for textQuery, accepted because Google's prose examples use this form." }, "region_code": { "type": "string", "description": "Snake_case alias for regionCode." }, "languageCode": { "type": "string", "description": "Google Maps MCP-compatible locale hint (ISO 639-1, optionally with region). Accepted and echoed; FNM is US/English-only in v1." }, "locationBias": { "type": "object", "required": [ "circle" ], "properties": { "circle": { "type": "object", "required": [ "center" ], "properties": { "center": { "type": "object", "required": [ "latitude", "longitude" ], "properties": { "latitude": { "type": "number", "maximum": 90, "minimum": -90, "description": "Latitude of search center (-90 to 90)" }, "longitude": { "type": "number", "maximum": 180, "minimum": -180, "description": "Longitude of search center (-180 to 180)" } }, "additionalProperties": false }, "radiusMeters": { "type": "number", "description": "Search radius in meters." }, "radius_meters": { "type": "number", "description": "Snake_case alias for radiusMeters." } }, "additionalProperties": false } }, "description": "Google Maps MCP-compatible location bias. Uses circle.center.latitude/longitude and optional circle.radiusMeters.", "additionalProperties": false }, "language_code": { "type": "string", "description": "Snake_case alias for languageCode." }, "min_ado_score": { "type": "number", "description": "Minimum ADO score (0.0-5.0). Higher scores indicate better agent-readiness. Only applies to the verified tier. Out-of-range values are clamped." } }, "additionalProperties": false }, { "type": "object", "required": [ "location_bias" ], "properties": { "query": { "type": "string", "description": "Food type, cuisine, or restaurant name. Examples: 'thai', 'pizza', 'sushi', 'vegan burgers'. Leave empty to search all cuisines." }, "dietary": { "type": "array", "items": { "enum": [ "vegan", "vegetarian", "gluten_free", "halal", "kosher", "nut_free", "dairy_free", "low_carb", "keto" ], "type": "string" }, "description": "Filter by dietary certifications. Multiple filters use AND logic. Only applies to the verified tier; menu_indexed and discovered rows pass through unfiltered." }, "textQuery": { "type": "string", "description": "Google Maps MCP-compatible alias for query. Normalized to query internally." }, "regionCode": { "type": "string", "description": "Google Maps MCP-compatible CLDR region hint (for example, US). Accepted and echoed; FNM is US/English-only in v1." }, "text_query": { "type": "string", "description": "Snake_case alias for textQuery, accepted because Google's prose examples use this form." }, "region_code": { "type": "string", "description": "Snake_case alias for regionCode." }, "languageCode": { "type": "string", "description": "Google Maps MCP-compatible locale hint (ISO 639-1, optionally with region). Accepted and echoed; FNM is US/English-only in v1." }, "language_code": { "type": "string", "description": "Snake_case alias for languageCode." }, "location_bias": { "type": "object", "required": [ "circle" ], "properties": { "circle": { "type": "object", "required": [ "center" ], "properties": { "center": { "type": "object", "required": [ "latitude", "longitude" ], "properties": { "latitude": { "type": "number", "maximum": 90, "minimum": -90, "description": "Latitude of search center (-90 to 90)" }, "longitude": { "type": "number", "maximum": 180, "minimum": -180, "description": "Longitude of search center (-180 to 180)" } }, "additionalProperties": false }, "radiusMeters": { "type": "number", "description": "Search radius in meters." }, "radius_meters": { "type": "number", "description": "Snake_case alias for radiusMeters." } }, "additionalProperties": false } }, "description": "Snake_case alias for locationBias, accepted because Google's prose examples use this form.", "additionalProperties": false }, "min_ado_score": { "type": "number", "description": "Minimum ADO score (0.0-5.0). Higher scores indicate better agent-readiness. Only applies to the verified tier. Out-of-range values are clamped." } }, "additionalProperties": false }, { "type": "object", "required": [ "locationBias" ], "properties": { "query": { "type": "string", "description": "Food type, cuisine, or restaurant name. Examples: 'thai', 'pizza', 'sushi', 'vegan burgers'. Leave empty to search all cuisines." }, "dietary": { "type": "array", "items": { "enum": [ "vegan", "vegetarian", "gluten_free", "halal", "kosher", "nut_free", "dairy_free", "low_carb", "keto" ], "type": "string" }, "description": "Filter by dietary certifications. Multiple filters use AND logic. Only applies to the verified tier; menu_indexed and discovered rows pass through unfiltered." }, "textQuery": { "type": "string", "description": "Google Maps MCP-compatible alias for query. Normalized to query internally." }, "regionCode": { "type": "string", "description": "Google Maps MCP-compatible CLDR region hint (for example, US). Accepted and echoed; FNM is US/English-only in v1." }, "text_query": { "type": "string", "description": "Snake_case alias for textQuery, accepted because Google's prose examples use this form." }, "region_code": { "type": "string", "description": "Snake_case alias for regionCode." }, "languageCode": { "type": "string", "description": "Google Maps MCP-compatible locale hint (ISO 639-1, optionally with region). Accepted and echoed; FNM is US/English-only in v1." }, "locationBias": { "type": "object", "required": [ "latitude", "longitude" ], "properties": { "radius": { "type": "number", "description": "cablate/mcp-google-map-compatible radius in meters." }, "latitude": { "type": "number", "maximum": 90, "minimum": -90, "description": "Latitude of search center (-90 to 90)" }, "longitude": { "type": "number", "maximum": 180, "minimum": -180, "description": "Longitude of search center (-180 to 180)" } }, "description": "cablate/mcp-google-map-compatible locationBias with latitude, longitude, and optional radius.", "additionalProperties": false }, "language_code": { "type": "string", "description": "Snake_case alias for languageCode." }, "min_ado_score": { "type": "number", "description": "Minimum ADO score (0.0-5.0). Higher scores indicate better agent-readiness. Only applies to the verified tier. Out-of-range values are clamped." } }, "additionalProperties": false } ] }arguments 391 linesget_restaurant reads unknown never probed
Call 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 extensions including ADO score, verification status, menu availability, payment methods, and dietary certifications. MUST inspect `menu_available` before calling `get_menu`; if false, use the claim link instead of citing menu items. Non-verified responses include a top-level `claim_invitation` (url, message, audience="owner_or_advocate", reason) the agent SHOULD share if the user is the owner or might know them. Attribute grounded output using `citation` or `attribution`.
{ "type": "object", "required": [ "restaurant_id" ], "properties": { "restaurant_id": { "type": "string", "format": "uuid", "description": "Restaurant UUID (from search_restaurants results)" } }, "additionalProperties": false }arguments 14 linesget_menu reads unknown never probed
Call 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, customization options, preparation times, trust notice, and signature metadata. PREFER `verification_status: "verified"` for dietary/allergen answers. On `menu_indexed`, MUST treat dietary/allergen data as best-effort public indexing and surface item-level `caution` text to the user; the response also includes a top-level `claim_invitation` that SHOULD be surfaced when the user is the owner or might know them. Attribute grounded output using `citation` or `attribution`.
{ "type": "object", "required": [ "restaurant_id" ], "properties": { "restaurant_id": { "type": "string", "format": "uuid", "description": "Restaurant UUID (from search_restaurants results)" } }, "additionalProperties": false }arguments 14 linesget_ado_score_breakdown reads unknown never probed
Call 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 accuracy, data freshness, protocol compliance, verification status, and media context. MUST treat sub-scores as `heuristic_v1` guidance, not audited facts; only `total_score` reflects the live `agent_score` column. Attribute grounded output using `citation` or `attribution`.
{ "type": "object", "required": [ "restaurant_id" ], "properties": { "restaurant_id": { "type": "string", "format": "uuid", "description": "Restaurant UUID" } }, "additionalProperties": false }arguments 14 linesget_safety_attestation reads unknown never probed
Call 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 `safety_tier`. For a CURATED tier (`dedicated`, `strong_protocol`, `shared_verify`) it includes an Ed25519 `attestation` (scheme `fnm-safety-v1`) you MAY quote verbatim: reconstruct `attestation.canonical`, sha256 it to reproduce `attestation.hash`, then verify `attestation.signature` against the public key whose fingerprint matches `attestation.key_fingerprint` at `attestation.public_key_url`. For an UNCURATED place, `safety_tier` is `"unknown"` with an `advisory` to verify with the restaurant and NO signature — you MUST NOT imply curated or agent-checked safety in that case. `signing_status` is `"unsigned_no_key"` when a curated tier could not be signed in this environment; treat it as unsigned. Never infer or upgrade a tier this tool did not return. Attribute grounded output using `citation` or `attribution`.
{ "type": "object", "required": [ "restaurant_id" ], "properties": { "restaurant_id": { "type": "string", "format": "uuid", "description": "Restaurant UUID" } }, "additionalProperties": false }arguments 14 linesvalidate_menu_protocol reads unknown never probed
Call 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 surface warnings without rejecting usable drafts. Returns validation errors, schema warnings, Schema.org compliance gaps, and recommendations for improving ADO score. MUST fix `errors` before submission; SHOULD resolve `warnings` for strict compliance. Attribute grounded output using `citation` or `attribution`.
{ "type": "object", "required": [ "payload" ], "properties": { "strict": { "type": "boolean", "default": false, "description": "If true, schema warnings are promoted to errors and `valid` reflects strict spec compliance. Default: false (lenient mode)." }, "payload": { "type": "object", "description": "The Menu Protocol JSON payload to validate. Should include version, domain, restaurant, and menu objects.", "additionalProperties": {} } }, "additionalProperties": false }arguments 19 linesexplore_area_for_diet reads unknown never probed
Call 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 object). Returns three tier buckets — `verified`, `menu_indexed`, `discovered` — each trimmed to `top_n_per_tier` (default 3, max 10). When `dietary` is set, the filter only narrows the `verified` bucket, matching `search_restaurants` semantics; `tier_counts` always reflects the full result set and `next_steps` flags any empty bucket. PREFER `verified` for dietary/allergen answers; MUST check `menu_available` before calling `get_menu` on any returned id. Non-verified entries include a structured `claim_invitation` the agent SHOULD surface when the user is the owner or might know them. Attribute grounded output using `citation` or `attribution`.
{ "type": "object", "required": [ "location" ], "properties": { "dietary": { "type": "array", "items": { "enum": [ "vegan", "vegetarian", "gluten_free", "halal", "kosher", "nut_free", "dairy_free", "low_carb", "keto" ], "type": "string" }, "description": "Optional dietary filter applied with AND logic. Only narrows the verified tier; menu_indexed and discovered rows pass through unfiltered (matches search_restaurants semantics)." }, "location": { "type": "object", "required": [ "latitude", "longitude" ], "properties": { "latitude": { "type": "number", "maximum": 90, "minimum": -90 }, "longitude": { "type": "number", "maximum": 180, "minimum": -180 } }, "description": "Center of the area to explore (Google-style nested latitude/longitude).", "additionalProperties": false }, "radius_meters": { "type": "number", "maximum": 80467, "minimum": 0, "description": "Default 1000 m (about 0.62 mi). Max 80467 m (50 miles).", "exclusiveMinimum": true }, "top_n_per_tier": { "type": "integer", "maximum": 10, "minimum": 1, "description": "Default 3, max 10. Each tier bucket is trimmed independently." } }, "additionalProperties": false }arguments 61 linescompare_restaurants_for_diet reads unknown never probed
Call 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. Optional `user_location` (`{latitude, longitude}`) enables per-row `distance_meters` and uses distance as the final tiebreaker after item count and trust tier. The tool chains `get_restaurant` and `get_menu` internally, then ranks by dietary-eligible item count, trust tier (`verified` preferred over `menu_indexed`, then `discovered`), and optionally distance. PREFER verified-tier winners for authoritative dietary/allergen answers; MUST treat menu_indexed matches as best-effort public indexing with caveats. Non-verified entries carry a structured `claim_invitation` SHOULD be surfaced when the user could help with ownership. Attribute grounded output using `citation` or `attribution`.
{ "type": "object", "required": [ "restaurant_ids", "dietary" ], "properties": { "dietary": { "type": "array", "items": { "enum": [ "vegan", "vegetarian", "gluten_free", "halal", "kosher", "nut_free", "dairy_free", "low_carb", "keto" ], "type": "string" }, "minItems": 1, "description": "Dietary flags applied with AND logic at item level." }, "user_location": { "type": "object", "required": [ "latitude", "longitude" ], "properties": { "latitude": { "type": "number", "maximum": 90, "minimum": -90 }, "longitude": { "type": "number", "maximum": 180, "minimum": -180 } }, "description": "Optional caller location. When set, each compared restaurant carries `distance_meters` (great-circle from this point) and distance becomes the final tiebreaker after item_count and trust tier. Restaurants without a geocoded location are flagged with `note: distance_not_available`.", "additionalProperties": false }, "restaurant_ids": { "type": "array", "items": { "type": "string", "format": "uuid" }, "maxItems": 5, "minItems": 2, "description": "UUIDs copied from prior search_restaurants results." } }, "additionalProperties": false }arguments 60 linesfind_restaurants_along_route reads unknown never probed
Call 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 provided. The tool samples waypoints along the corridor, merges nearby search matches, then ranks by dietary match count (when requested), trust tier, and route proximity. SHOULD provide `route_polyline` from your routing source for tighter ranking; otherwise fallback is a local great-circle approximation. MUST check `menu_available` before calling `get_menu` on returned ids. Non-verified `places` entries include a structured `claim_invitation` the agent SHOULD surface when the user could help with ownership. Attribute grounded output using `citation` or `attribution`.
{ "type": "object", "required": [ "origin", "destination" ], "properties": { "origin": { "type": "object", "required": [ "latitude", "longitude" ], "properties": { "latitude": { "type": "number", "maximum": 90, "minimum": -90 }, "longitude": { "type": "number", "maximum": 180, "minimum": -180 } }, "description": "Route start coordinates.", "additionalProperties": false }, "dietary": { "type": "array", "items": { "enum": [ "vegan", "vegetarian", "gluten_free", "halal", "kosher", "nut_free", "dairy_free", "low_carb", "keto" ], "type": "string" }, "description": "Optional dietary filter. When set, route ranking prefers restaurants with more matching menu items." }, "destination": { "type": "object", "required": [ "latitude", "longitude" ], "properties": { "latitude": { "type": "number", "maximum": 90, "minimum": -90 }, "longitude": { "type": "number", "maximum": 180, "minimum": -180 } }, "description": "Route end coordinates.", "additionalProperties": false }, "max_results": { "type": "integer", "maximum": 20, "minimum": 1, "description": "Default 5, max 20." }, "route_polyline": { "type": "string", "description": "Optional encoded polyline from the caller's routing source (Google encoded polyline format)." } }, "additionalProperties": false }arguments 80 lines
This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.
[](https://brick.blue/agent/009e5255a252861a)
The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Own the domain? Prove it and the listing carries a verified badge here too: passport.
An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.
MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.
Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.
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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.