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AI-native restaurant discovery with search, menus, reviews, and quality scores via verified Menu Protocol data.
Do not connect
A critical issue was found. Do not connect this server as-is.
Scanned 1 month ago Due for re-check
A server can change after it's graded. Re-run the automated scan to refresh this report.
This grade is deterministic and reproducible: the same server surface always yields the same grade under a given algorithm version. It is a real automated assessment computed by the MCPGrade engine from what the probe actually observed — not a fabricated or opinion score. It is not a manual human pentest, so it can miss context-specific risks.
Every signal below was measured directly by the automated probe. The grade is derived only from evidence like this — nothing is assumed.
The Food Near Me MCP server exposes 9 tools, focused primarily on web capabilities. Its published description reads: "AI-native restaurant discovery with search, menus, reviews, and quality scores via verified Menu Protocol data". It communicates over Streamable HTTP using the 2026-07-28 protocol revision, and does not require authorization to connect. MCPGrade currently rates Food Near Me F — a critical issue was found and the server should not be connected as-is. Its most notable findings include "Hidden instructions in a tool description" and "Cross-tool shadowing". This report is a deterministic, reproducible automated assessment: the same observed surface always yields the same grade under a given algorithm version, and it is refreshed as new scans arrive and free to read — but it is not a substitute for a manual human security review. Always re-check Food Near Me's advertised tools, transport security, and authorization posture before connecting an autonomous agent or sharing sensitive context with it.
Add Food Near Me to an MCP client using the endpoint below. Review the grade and findings above before granting an autonomous agent access.
MCP endpoint
https://foodnear.me/mcpStreamable HTTP transport. This is the MCP endpoint, not a website — paste it into your MCP client server list rather than a browser.
Captured passively during the read-only scan. Click any value to find servers that match it.
The tools this server advertises via tools/list — names, purposes, and the parameters each accepts, exactly as enumerated read-only.
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 `l
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_restauran
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. R
Sorted worst-first. Each finding shows its severity, what it means, its OWASP MCP Top-10 mapping, and a recommended fix — the check id links to the exact methodology row that produced it.
tool: search_restaurants
A tool description contains imperative text aimed at the model (e.g. "ignore previous", "before answering read …").
ame, resolve it before calling or include a specific city/region in `textQuery`/`query`.RecommendationRemove model-directed instructions from tool descriptions.
tool: search_restaurants
A tool description tries to alter the model’s use of another tool.
h result; call `get_menu` only when `menu_available` is true. PREFER verRecommendationDescriptions must describe only their own tool.
tool: get_restaurant
A tool description tries to alter the model’s use of another tool.
instead of citing menu items. Non-verified responses include a top-levelRecommendationDescriptions must describe only their own tool.
tool: get_menu
A tool description tries to alter the model’s use of another tool.
ol only when a `search_restaurants` or `get_restaurant` response has `menu_availabRecommendationDescriptions must describe only their own tool.
tool: explore_area_for_diet
A tool description tries to alter the model’s use of another tool.
cket, matching `search_restaurants` semantics; `tier_counts` always reflects the fRecommendationDescriptions must describe only their own tool.
tool: compare_restaurants_for_diet
A tool description tries to alter the model’s use of another tool.
he tool chains `get_restaurant` and `get_menu` internally, then ranks by dietaRecommendationDescriptions must describe only their own tool.
tool: find_restaurants_along_route
A tool description tries to alter the model’s use of another tool.
before calling `get_menu` on returned ids. Non-verified `places` entriesRecommendationDescriptions must describe only their own tool.
The server accepts tool enumeration (and likely invocation) with no authentication.
RecommendationRequire OAuth 2.1 authorization for any server exposing non-public tools.
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Unified gateway to Algeria's TKAWEN ecosystem: commerce, certification, and AI tools.
Provides access to the Cohereon Doctrine AI safety framework with governance components, tiered access, and agent onboarding.
Agentic rails for complex workflows with receipts, fees, and MCP tool access.
Structural TC39 spec lookup for ECMA-262 and ECMA-402 in AI agents, SHA-pinned and offline-first.
Structural TC39 spec lookup for ECMA-262 and ECMA-402 in AI agents, SHA-pinned and offline-first.
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
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 (CRITICA
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 ch
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
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 co
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 `{