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M MCP Servers Developer low

Younghef/nutriref-api

by Various

Pay-per-call USDA nutrition API for AI agents. x402 + USDC on Base.

Y

MCP

Younghef/nutriref-api

Added 7 June 2026

#ai-agents #cdp #coinbase #fastapi #mcp #nutrition #usda #x402

Overview

A pay-per-call API that provides USDA nutrition data for AI agents. It uses x402 and USDC on Base for payment, enabling programmatic access to authoritative nutritional information. The API is implemented in Python.

Best for

Best for
Developers building AI agents that need on-demand USDA nutrition data with per-call billing

Use cases

  • Integrating nutritional data into AI-powered meal planning apps
  • Building chatbots that answer dietary questions with verified USDA data
  • Automating nutrition analysis for food logging or recipe tools

Notes

A pay-per-call API that provides USDA nutrition data for AI agents. It uses x402 and USDC on Base for payment, enabling programmatic access to authoritative nutritional information. The API is implemented in Python.

0 stars on GitHub. Last updated 2026-05-31. Licensed MIT.

Use cases

  • Integrating nutritional data into AI-powered meal planning apps
  • Building chatbots that answer dietary questions with verified USDA data
  • Automating nutrition analysis for food logging or recipe tools

Pros

  • Direct access to authoritative USDA nutrition database
  • Pay-per-call model avoids monthly subscription fees
  • Blockchain-based payment (x402 + USDC) for transparent billing

Cons

  • Requires a crypto wallet and USDC on Base for payment
  • Zero stars on GitHub suggests low adoption or early stage
  • Pay-per-call can become expensive for high-volume usage

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Direct access to authoritative USDA nutrition database
  • Pay-per-call model avoids monthly subscription fees
  • Blockchain-based payment (x402 + USDC) for transparent billing

Cons

  • Requires a crypto wallet and USDC on Base for payment
  • Zero stars on GitHub suggests low adoption or early stage
  • Pay-per-call can become expensive for high-volume usage