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Extract shoppable ingredients from recipe content with affiliate signals.
About
Extract shoppable ingredients from recipe content with affiliate signals.
Security Report
Valid MCP server (2 strong, 3 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (3/3 approved). 1 finding(s) downgraded by scanner intelligence.
4 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: OPENAI_API_KEY
Environment variable: MCP_API_KEYS
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-teamsincetoday-recipe-commerce-mcp": {
"env": {
"MCP_API_KEYS": "your-mcp-api-keys-here",
"OPENAI_API_KEY": "your-openai-api-key-here"
},
"args": [
"-y",
"recipe-commerce-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Recipe Commerce Intelligence MCP
Turn recipes into affiliate revenue. Extract every branded ingredient and kitchen tool from any recipe, match each to Amazon Associates, ShareASale, or Awin, and generate a shoppable ingredient list in seconds. F1=100% on eval suite. Free tier: 200 calls/day.
⭐ If this saves you time, please star the repo — it helps other developers find it.
Live endpoint:
https://recipe-commerce-mcp.sincetoday.workers.dev/mcp· See examples
Extract recipes and ingredients from cooking video transcripts, match to purchasable products, and build affiliate shopping lists. Built on x402, the open payment standard backed by Shopify, Google, Microsoft, Visa, and the Linux Foundation.
Tools
| Tool | Description |
|---|---|
extract_recipe_ingredients | Extract structured recipe data from a cooking video transcript or YouTube URL |
match_ingredients_to_products | Match ingredients to purchasable products with affiliate program details |
suggest_affiliate_products | Generate a ranked affiliate shopping list scored by revenue potential |
Connect in Claude Code — No Install Required
Add to your claude_desktop_config.json or use /add-mcp in Claude Code. Free tier: 200 calls/day, no API key needed:
{
"mcpServers": {
"recipe-commerce": {
"url": "https://recipe-commerce-mcp.sincetoday.workers.dev/mcp"
}
}
}
Quick Start
# Install
npm install recipe-commerce-mcp
# Configure
cp .env.example .env
# Edit .env: set OPENAI_API_KEY
# Run (stdio MCP server)
npx recipe-commerce-mcp
MCP Client Config
{
"mcpServers": {
"recipe-commerce": {
"command": "npx",
"args": ["recipe-commerce-mcp"],
"env": {
"OPENAI_API_KEY": "sk-..."
}
}
}
}
Tool Reference
extract_recipe_ingredients
{
"transcript": "Cooking video transcript or YouTube URL",
"recipe_id": "optional-cache-key",
"api_key": "optional-paid-key"
}
Returns:
{
"result": {
"recipeName": "Beef Bourguignon",
"ingredients": [
{ "name": "beef chuck", "quantity": "2", "unit": "lbs", "category": "meat", "is_optional": false }
],
"equipment": [
{ "name": "Le Creuset Dutch oven 5.5qt", "category": "cookware", "requiredForRecipe": true }
],
"techniques": ["braising", "searing"],
"cuisineType": "French",
"difficulty": "medium"
},
"_meta": { "processing_time_ms": 1950, "ai_cost_usd": 0.0024, "cache_hit": false, "recipe_id": "..." }
}
match_ingredients_to_products
{
"ingredients": [{ "name": "beef chuck", "quantity": "2", "unit": "lbs" }],
"recipe_id": "optional-uses-cached-ingredients",
"api_key": "optional"
}
Returns affiliate program details (Amazon Associates, ShareASale, Awin), price range, commission rate (2–10%), brand? (extracted brand name for branded ingredients, e.g. "Maldon" for "Maldon salt"), estimatedCommission (USD estimate based on price × commission rate), and substitution alternatives.
suggest_affiliate_products
{
"recipe_name": "Beef Bourguignon",
"ingredients": [...],
"api_key": "optional"
}
Returns ingredients and equipment ranked by affiliate revenue score. Equipment scores highest (10% commission via Amazon Associates).
Example Output
Real extraction from a Serious Eats beef bourguignon recipe (live eval avg: F1=93%, 98/100 score, $0.000370/call, 2608ms):
{
"recipe_id": "serious-eats-beef-bourguignon",
"ingredients": [
{
"name": "Dutch oven (5.5 qt)",
"brand": "Le Creuset",
"category": "equipment",
"is_optional": false,
"affiliate_revenue_score": 0.92,
"estimatedCommission": 8.50,
"amazon_search_terms": ["dutch oven 5.5 quart", "Le Creuset 5.5 qt"]
},
{
"name": "Maldon sea salt",
"brand": "Maldon",
"category": "ingredient",
"is_optional": false,
"affiliate_revenue_score": 0.18,
"estimatedCommission": 0.42
},
{
"name": "beef chuck",
"brand": null,
"category": "ingredient",
"is_optional": false,
"affiliate_revenue_score": 0.12,
"estimatedCommission": null,
"amazon_search_terms": null
}
]
}
See /examples endpoint for full output with value narrative: https://recipe-commerce-mcp.sincetoday.workers.dev/examples
Pricing
- Free tier: 200 calls/day per agent (no API key required)
- Paid: $0.01/call — set
MCP_API_KEYSwith valid keys
Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
OPENAI_API_KEY | Yes | — | OpenAI API key |
AGENT_ID | No | anonymous | Agent identifier for rate limiting |
MCP_API_KEYS | No | — | Comma-separated paid API keys |
CACHE_DIR | No | ./data/cache.db | SQLite cache path |
PAYMENT_ENABLED | No | false | Set true to enforce limits |
Development
npm install
npm run typecheck # Zero type errors
npm test # All tests pass
npm run build # Compile to dist/
License
MIT — Since Today Studio
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