"FMOD" matching MCP servers:

MCP server that connects AI assistants to FMOD Studio via its scripting terminal, enabling live game-audio authoring such as creating events, importing sounds, routing mixers, and building banks through natural language.

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 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.

Enables tracking food intake and nutrition using the USDA FoodData Central database. Supports logging meals, setting daily nutrition goals, viewing food diaries, and analyzing nutrition trends over time with local SQLite storage.

Provides browser automation capabilities for LLMs using Playwright's accessibility tree instead of screenshots. It enables models to interact with web pages through fast, structured, and deterministic data snapshots.

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

Query food inspection grades and violations for Charlotte/Mecklenburg County, NC, with tools for searching establishments, getting details, finding nearby, and score distributions.

Enables agents to log and edit meals, query a food journal, and retrieve calorie/macro/quality KPIs with server-side nutritional grading, plus manage staples and targets.