io.github.ericblair1903/nutrients-mcp
Analyze food photos or text for calories, macros, vitamins, minerals, and allergens.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
nutrients-mcpclaude mcp add nutrients-mcp -e 'TASTYAPI_KEY=<your tastyapi_key>' -- npx -y nutrients-mcp@1.0.3
{
"mcpServers": {
"nutrients-mcp": {
"command": "npx",
"args": [
"-y",
"nutrients-mcp@1.0.3"
],
"env": {
"TASTYAPI_KEY": "<your tastyapi_key>"
}
}
}
}
Environment variables
TASTYAPI_KEYrequired secret Your TastyAPI API key. Get one at https://tastyapi.com/pricing
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
nutrients-mcp
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).
Requirements
- Node.js 18+
- A TastyAPI API key — get one at tastyapi.com/pricing
Quick Start
Claude Code
claude mcp add nutrients -- npx -y nutrients-mcp
Then set your API key in the server's environment config:
TASTYAPI_KEY=YOUR_API_KEY
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"nutrients": {
"command": "npx",
"args": ["-y", "nutrients-mcp"],
"env": { "TASTYAPI_KEY": "YOUR_API_KEY" }
}
}
}
Cursor / Windsurf
Add to your mcp.json:
{
"mcpServers": {
"nutrients": {
"command": "npx",
"args": ["-y", "nutrients-mcp"],
"env": { "TASTYAPI_KEY": "YOUR_API_KEY" }
}
}
}
Tools
analyze_food_image
Fetches 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_food
Returns 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 }
}
Pricing
- $0.015 per request + $5/month base fee (usage-based)
- Or choose a flat-rate plan: Monthly ($29/mo · 5k calls) or Professional ($69/mo · 15k calls)
See tastyapi.com/pricing for full details.
License
MIT — © EB Tech LLC
Frequently asked questions
What is io.github.ericblair1903/nutrients-mcp?
Analyze food photos or text for calories, macros, vitamins, minerals, and allergens.
How do I install io.github.ericblair1903/nutrients-mcp?
It runs on your machine. In Claude Code: claude mcp add nutrients-mcp -e 'TASTYAPI_KEY=<your tastyapi_key>' -- npx -y nutrients-mcp@1.0.3. For other clients, paste the JSON configuration from this page into their MCP settings.
Does io.github.ericblair1903/nutrients-mcp need an API key?
Yes. It expects TASTYAPI_KEY, which you set in its configuration.
Is io.github.ericblair1903/nutrients-mcp open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains io.github.ericblair1903/nutrients-mcp?
It is published by ericblair1903. AI.tn lists it but does not maintain or endorse it.
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