Analyze food photos or text for calories, macros, vitamins, minerals, and allergens.
Give your AI assistant the ability to analyze food images and look up nutrition data for any food — calories, macros, vitamins, minerals, allergens, and dietary flags in under 1 second — powered by TastyAPI. Much faster and more accurate than Gemini and GPT-4 Vision (4-10 seconds).
claude mcp add nutrients -- npx -y nutrients-mcp
Then set your API key in the server's environment config:
TASTYAPI_KEY=YOUR_API_KEY
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"nutrients": {
"command": "npx",
"args": ["-y", "nutrients-mcp"],
"env": { "TASTYAPI_KEY": "YOUR_API_KEY" }
}
}
}
Add to your mcp.json:
{
"mcpServers": {
"nutrients": {
"command": "npx",
"args": ["-y", "nutrients-mcp"],
"env": { "TASTYAPI_KEY": "YOUR_API_KEY" }
}
}
}
analyze_food_imageFetches a food image from a public URL and returns a full nutritional breakdown.
| Parameter | Type | Required | Description |
|---|---|---|---|
image_url | string | yes | Public URL of a food image to analyze |
Example prompt:
"What are the macros in this meal? https://example.com/pasta.jpg"
Example output:
{
"food_name": "Pasta Bolognese",
"calories": 520,
"macros": {
"protein_g": 24,
"carbohydrates_g": 68,
"fat_g": 16,
"fiber_g": 4
},
"vitamins": { "vitamin_c_mg": 8, "vitamin_b12_mcg": 1.4 },
"minerals": { "iron_mg": 3.2, "calcium_mg": 60 },
"allergens": ["gluten", "dairy"],
"dietary": { "vegan": false, "vegetarian": false, "gluten_free": false }
}
analyze_foodReturns a full nutritional breakdown for a food item by name or description. No image required.
| Parameter | Type | Required | Description |
|---|---|---|---|
food_name | string | yes | Name or description of the food (e.g. "oatmeal with banana, 1 cup") |
Example prompt:
"How many calories are in a large avocado?"
Example output:
{
"food_name": "Large Avocado",
"calories": 322,
"macros": {
"protein_g": 4,
"carbohydrates_g": 17,
"fat_g": 29,
"fiber_g": 13
},
"vitamins": { "vitamin_k_mcg": 42, "folate_mcg": 163 },
"minerals": { "potassium_mg": 975, "magnesium_mg": 58 },
"allergens": [],
"dietary": { "vegan": true, "vegetarian": true, "gluten_free": true }
}
See tastyapi.com/pricing for full details.
MIT — © EB Tech LLC
Source-derived launch command. Check the maintainer’s required arguments and credentials before running:
npx -y nutrients-mcpMerge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.
{
"mcpServers": {
"io-github-ericblair1903-nutrients-mcp": {
"command": "npx",
"args": [
"-y",
"nutrients-mcp"
]
}
}
}Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.
Claude Desktop setup referencenutrients-mcpnpmio.github.ericblair1903/nutrients-mcp works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.
~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.~/.cursor/mcp.jsonRestart Cursor for changes to take effect..vscode/mcp.jsonReload VS Code window for changes to take effect.~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect..mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.