MCP-Server
Food Near Me
me.foodnear/foodnear-me
Was dieses MCP kann
Finds and compares restaurants by location and dietary needs, provides menu and allergy-safety information, and validates menu data.
Funktionen
Tools
9
Tools
compare_restaurants_for_diet
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`.
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Eingabeschema
{'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}
explore_area_for_diet
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`.
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Eingabeschema
{'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}
find_restaurants_along_route
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`.
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Eingabeschema
{'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}
get_ado_score_breakdown
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`.
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Eingabeschema
{'type': 'object', 'required': ['restaurant_id'], 'properties': {'restaurant_id': {'type': 'string', 'format': 'uuid', 'description': 'Restaurant UUID'}}, 'additionalProperties': False}
get_menu
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`.
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Eingabeschema
{'type': 'object', 'required': ['restaurant_id'], 'properties': {'restaurant_id': {'type': 'string', 'format': 'uuid', 'description': 'Restaurant UUID (from search_restaurants results)'}}, 'additionalProperties': False}
get_restaurant
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`.
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Eingabeschema
{'type': 'object', 'required': ['restaurant_id'], 'properties': {'restaurant_id': {'type': 'string', 'format': 'uuid', 'description': 'Restaurant UUID (from search_restaurants results)'}}, 'additionalProperties': False}
get_safety_attestation
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`.
Nur Lesen
Eingabeschema
{'type': 'object', 'required': ['restaurant_id'], 'properties': {'restaurant_id': {'type': 'string', 'format': 'uuid', 'description': 'Restaurant UUID'}}, 'additionalProperties': False}
search_restaurants
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`.
Nur Lesen
Eingabeschema
{'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}]}
validate_menu_protocol
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`.
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Eingabeschema
{'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}
Verlauf
Letzte Tool-Änderungen
Hinzugefügt
find_restaurants_along_route
17. September 2026 12:54
Hinzugefügt
compare_restaurants_for_diet
17. September 2026 12:54
Hinzugefügt
explore_area_for_diet
17. September 2026 12:54
Hinzugefügt
validate_menu_protocol
17. September 2026 12:54
Hinzugefügt
get_safety_attestation
17. September 2026 12:54
Hinzugefügt
get_ado_score_breakdown
17. September 2026 12:54
Hinzugefügt
get_menu
17. September 2026 12:54
Hinzugefügt
get_restaurant
17. September 2026 12:54
Hinzugefügt
search_restaurants
17. September 2026 12:54
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