Foodbe
Cited, fact-checked food answers, ingredient profiles, meal plans and recipes for agents.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"foodbe": {
"url": "https://api.foodbe.ai/api/mcp"
}
}
}Remote endpoints
https://api.foodbe.ai/api/mcpstreamable-httpWhat it can do
Tool inventory
Tools (3)
🟢foodbe_query(question, currentGroceryItems)
Ask a single food question and get a grounded, cited answer from Foodbe's fact-checked corpus. Refuses rather than guessing if no verified answer exists.
Input Schema
{
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "The food question to ask."
},
"currentGroceryItems": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"question"
]
}🟢foodbe_query_all(question)
Ask a food question and get answers from all three Foodbe expert voices at once: Neuro (science), Oracle (history/culture), Chefy (technique).
Input Schema
{
"type": "object",
"properties": {
"question": {
"type": "string"
}
},
"required": [
"question"
]
}🟢foodbe_ingredient(name)
Get a structured profile of a specific ingredient: nutrition, allergens, diets, price, environmental impact.
Input Schema
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The ingredient name, e.g. 'apple'."
}
},
"required": [
"name"
]
}Community
Evidence