"iFood" matching MCP servers:

Enables AI agents to access iFood orders, addresses, restaurants, and cart locally, with fail-closed checkout requiring explicit opt-in.

Compass DaaS exposes vegan-friendly restaurant search, restaurant enrichment, and dietary fit decision tools over the Model Context Protocol.

An unofficial Model Context Protocol server for the efood.gr consumer app API that lets you discover restaurants, browse menus, build a cart, and place real orders on efood.gr.

Provides comprehensive Chinese food nutrition data with tools to search, compare, and filter foods by nutrient values.

Enables AI assistants to access the Open Food Facts database to query detailed food product information, nutritional data, and environmental scores. Supports product lookup by barcode, smart search with filtering, nutritional analysis, product comparison, and dietary recommendations to help users make informed food choices.

Enables AI assistants to access food product information, providing nutritional analysis, product comparisons, and recipe suggestions using the Open Food Facts database.

Enables MCP clients to look up products by barcode, search products and text, retrieve taxonomy suggestions, and compare nutrition data through read-only tools.

Enables AI assistants to access food product information from Open Food Facts, including nutritional analysis, product comparisons, recipe suggestions, and allergen checks.

Enables AI agents to resolve Japanese food names to nutrition facts per 100g based on official Japanese food composition data.

MCP server for curated food and dining feeds, providing tools to list, read, and fetch RSS/Atom feeds. Part of the Pipeworx gateway.

An MCP server for food-related queries powered by MiniMax AI, enabling natural language interaction via a chat API.

Enables checking food additive safety, nutrition profiles, pesticide residues, and ingredient lists with regulatory flags and dietary compatibility. All data is sourced from authoritative bodies like JECFA, EFSA, and FDA.

MCP server for AI-native restaurant discovery with three-tier search (verified, menu_indexed, discovered), Menu Protocol menus, and structured menu validation.

An MCP server that lets you log meals through Claude (and soon ChatGPT) in plain language, using India's official food composition data (IFCT 2017) plus USDA, enabling accurate calorie and macro tracking for Indian dishes with household units and photo logging.

Connects AI agents to UK Food Standards Agency food hygiene ratings (FHRS). Enables querying food hygiene data via natural language through the Pipeworx gateway.

Find discounted food waste from Danish supermarkets (Salling Group) via the Model Context Protocol. Provides tools to search nearby stores or get products by store ID.

Enables AI agents to discover and order food from multiple delivery services (DoorDash, UberEats, Grubhub) using A2A protocol and process payments via Stripe with AP2 protocol mandates for cryptographically signed user authorization.

A Model Context Protocol server that enables Claude to search and access detailed nutritional information from the USDA's FoodData Central database.

Aggregates food recall and stop-sale data from Korean food safety authorities and enables checking inventory items against recalls by lot number.

An MCP server and app that enables users to browse restaurants, view menus, manage shopping carts, and place food orders with live status tracking. It serves as a reference implementation for MCP Apps SDK patterns like tool visibility, lifecycle hooks, and structured content.