"Information about food" matching MCP servers:

MCP server connecting AI models to Swiss Federal Food Safety and Veterinary Office open data, enabling queries about food recalls, animal disease surveillance, food control results, and more.

Enables AI agents to search the USDA's FoodData Central database and retrieve detailed nutritional information and ingredient lists. It supports comprehensive food data access through keyword searches and structured queries for specific food items.

Enables AI assistants to search, compare, and get detailed information about MCP servers from the mcpcatalogs.com directory.

Search and retrieve detailed information about Swiss companies from the official Zefix register, including company profiles, corporate structures, and SHAB publications.

Enables nutrition tracking with Cronometer, including food logging, food search, diary management, and nutrition data retrieval via natural language.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Enables reading and writing your Cronometer food diary from Claude.ai and Claude Code, including food entries, notes, biometrics, exercises, and fasts.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.

Connects MCP-compatible coding agents to VMware vCenter to query information about virtual machines, hosts, clusters, datastores, datacenters, and networks.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

Enables searching FatSecret's food and recipe database, and managing personal food diary, weight, exercise, saved meals, and favorites, with multi-user support and secure OAuth authentication.

Enables querying detailed information about characters, echoes, and character profiles from the Wuthering Waves game, returning results in LLM-optimized Markdown format.

This MCP is used to get realtime food data from OpenFoodFacts database. OpenFoodFacts is a largest food database in the world.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

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

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

Provides information about Nerdearla events, speakers, and sessions, enabling natural language queries about event data.

Enables Claude to remember information about users across chats using a persistent local knowledge graph that stores entities, relationships, and observations.

MCP Memory is a MCP Server that gives MCP Clients the ability to remember information about users across conversations using vector search.