"Information about food" matching MCP servers:

AI agents can order DoorDash food delivery: search restaurants, browse menus, add items to cart, place orders, and track delivery in real-time.

A server that connects Claude with Spotify, allowing users to control playback, search content, get information about tracks/albums/artists/playlists, and manage the Spotify queue.

Enables interaction with the Twitch API, allowing users to retrieve comprehensive information about channels, streams, games, and more, with additional support for searching and accessing chat elements like emotes and badges.

Enables access to Lose It calorie tracking data including daily summaries with budgets and remaining calories, weekly history, and food logs. Integrates with the Lose It web app API to retrieve nutrition information and dietary entries for monitoring caloric intake.

Aggregates Swiggy's food delivery, Instamart groceries, and Dineout table booking services into one MCP server, letting AI agents search, order, and book via a single OAuth token.

Enables conversational, autonomous food-procurement planning and execution by coordinating multi-agent negotiation, evidence-aware jury review, adaptive replanning, and guarded MCP-based actions.

An MCP server that enables users to search Bilibili videos, access trending rankings, and retrieve detailed information about videos, content creators, and anime schedules. It allows AI applications to interact directly with Bilibili content via simple API interfaces.

Use Claude to control or ask questions about your Altium project.

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.

An MCP server that enables AI assistants to order food from TGO Yemek by browsing restaurants, managing carts, and completing checkouts. It allows users to handle address selection and order tracking directly through natural language interactions.

Enables users to plan meals and place orders across Swiggy Food, Instamart, and Dineout directly from Claude Desktop conversations.

Enables menu browsing, recommendation requests, and shopping cart management through a Model Context Protocol interface. Users can interact with food order services to query items and handle order additions or removals via natural language.

A proof-of-concept Model Context Protocol server that enables LLM applications to interact with Uber Eats, allowing AI agents to browse and order food through natural language.

MCP server that allows AI assistants to query and retrieve information about office supplies inventory from a CSV file.

Provides vehicle data scraping from keplaca.com through the Model-Context Protocol, allowing users to retrieve detailed information about Brazilian vehicles using license plate numbers.

Enables LLMs to interact with the Pipefy GraphQL API to manage pipes, cards, database tables, and records through natural language. It provides tools for searching, creating, and retrieving detailed information about Pipefy workflows and database entities.

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.

Enables interaction with Google Chrome tabs through the MCP protocol, allowing clients to retrieve information and control tabs on macOS using AppleScript.

An MCP server providing AI assistants with comprehensive access to n8n node documentation, properties, and operations, enabling deep knowledge about n8n's 2,063 workflow automation nodes.

Enables AI agents to discover and interact with businesses by reading structured NOD manifests. Provides tools to look up business capabilities and check if specific actions like ordering food or booking appointments are supported.