usda-mcp-server

usda-mcp-server

Enables searching USDA foods, comparing nutrients, and accessing the full FoodData Central database via MCP tools and resources.

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README

<div align="center"> <h1>@cyanheads/usda-mcp-server</h1> <p><b>Search foods, compare nutrients, and look up the full USDA FoodData Central database via MCP. STDIO or Streamable HTTP.</b> <div>5 Tools • 2 Resources</div> </p> </div>

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Version License Docker MCP SDK npm TypeScript Bun

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<div align="center">

Install in Claude Desktop Install in Cursor Install in VS Code

Framework

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Tools

Five tools covering the USDA FoodData Central workflow — from discovery to detailed nutrient analysis:

Tool Description
usda_search_foods Search foods by keyword across SR Legacy, Foundation, Survey FNDDS, and Branded data sources, with nutrient preview and pagination
usda_get_food Full nutrient profile for one food by FDC ID, with optional per-portion scaling (g, oz, lb, kg, or serving)
usda_get_foods Batch nutrient fetch for 2–20 FDC IDs in a single request; failed IDs reported in failed[] instead of aborting
usda_compare_foods Side-by-side nutrient comparison for 2–5 foods, formatted as a markdown table scaled to a common gram basis
usda_list_nutrients Static FDC nutrient reference table (~150 nutrients) with IDs, names, units, and categories — no API call required

usda_search_foods

Search USDA FoodData Central foods by keyword, UPC/GTIN code, or ingredient.

  • Covers all FDC data sources: SR Legacy (common whole foods, complete nutrient profiles), Foundation, Survey FNDDS, and Branded (packaged products)
  • Defaults to SR Legacy; include "Branded" in dataType for packaged products or UPC lookup
  • Brand owner filter to narrow branded results (e.g. "General Mills")
  • Food category filter (e.g. "Poultry Products", "Vegetables and Vegetable Products")
  • Pagination via pageSize (up to 50) and pageNumber
  • Returns FDC IDs and a preview of key nutrients (energy, protein, fat, carbs) — use usda_get_food for the full profile

usda_get_food

Full nutrient profile for one food by FDC ID.

  • All available nutrients (or a filtered subset via nutrients[]) with amounts per 100g
  • Optional portion scaling — provide quantity + unit to scale values (e.g. quantity=200, unit="g" → per-200g values)
  • unit="serving" scales to the food's first defined portion weight
  • Returns all named portion definitions (allPortions[]) alongside the serving info
  • Filtering nutrients[] to specific IDs strongly reduces context size for common queries (use usda_list_nutrients to look up IDs)

usda_get_foods

Batch nutrient fetch for 2–20 FDC IDs.

  • All values per 100g (no portion scaling in batch mode)
  • nutrients[] filter strongly recommended — full profiles for 20 foods are large
  • Per-item partial failure: failed[] carries IDs that returned no data, so one missing food doesn't abort the batch
  • More efficient than N individual usda_get_food calls when you already have FDC IDs

usda_compare_foods

Side-by-side nutrient comparison for 2–5 foods.

  • Returns a pivot table — one row per nutrient, one column per food — and formats it as a markdown table
  • Defaults to the 12 most commonly compared nutrients (energy, protein, fat, saturated fat, carbs, fiber, sugars, sodium, potassium, calcium, iron, vitamin C)
  • Pass custom nutrients[] for specific comparisons (e.g. just iron and vitamin C)
  • All values scaled to a common gram basis (default 100g; override with quantity + unit)
  • Proceeds with valid foods when some IDs aren't found — only fails when fewer than 2 IDs return data
  • Rows where all values are null (nutrient not tracked for any of the selected foods) are filtered out

usda_list_nutrients

FDC nutrient reference table — all ~150 tracked nutrients.

  • Returns IDs, names, SR reference numbers, units, and categories
  • Optional category filter: macronutrients, vitamins, minerals, lipids, amino_acids, other
  • Resolves nutrient names (e.g. "vitamin C") to FDC IDs (1162) for use in nutrients[] params
  • Static data — no API call, instant response; call once and reuse the IDs

Resources and prompts

Type Name Description
Resource usda://food/{fdcId} Full nutrient profile for a specific food by FDC ID — same data as usda_get_food without portion scaling
Resource usda://nutrients Complete FDC nutrient reference list — all ~150 tracked nutrients with IDs, names, units, and categories

All resource data is also reachable via tools. Use usda_search_foods to discover FDC IDs before reading food resources.

Features

Built on @cyanheads/mcp-ts-core:

  • Declarative tool and resource definitions — single file per primitive, framework handles registration and validation
  • Unified error handling — handlers throw, framework catches, classifies, and formats
  • Pluggable auth: none, jwt, oauth
  • Swappable storage backends: in-memory, filesystem, Supabase, Cloudflare KV/R2/D1
  • Structured logging with optional OpenTelemetry tracing
  • STDIO and Streamable HTTP transports

USDA FDC-specific:

  • Type-safe client for the USDA FoodData Central REST API (api.nal.usda.gov/fdc/v1)
  • Normalization layer that handles inconsistent API response shapes across search, single-food, and batch endpoints
  • Batch API endpoint (/foods) with per-food partial failure reporting
  • HTML response detection (rate-limit proxy returns 200 HTML) with service-unavailable error surfacing
  • Static nutrient reference dictionary — ~150 nutrients with FDC IDs, SR numbers, units, and categories; no API call required

Agent-friendly output:

  • Provenance preserved — FDC data source (dataType) on every food result so callers know whether they're reading curated research data or label-derived branded values
  • Partial failure reporting — batch tools (usda_get_foods, usda_compare_foods) return successes alongside structured failed[] / missingData[] entries rather than failing the whole request
  • Cross-reference hints — FDC IDs and tool names in descriptions so agents know exactly which call to make next (search → get → compare workflow)

Getting started

Add the following to your MCP client configuration file. See data.gov API key signup to generate a free API key.

{
  "mcpServers": {
    "usda-mcp-server": {
      "type": "stdio",
      "command": "bunx",
      "args": ["@cyanheads/usda-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info",
        "USDA_FDC_API_KEY": "your-api-key"
      }
    }
  }
}

Or with npx (no Bun required):

{
  "mcpServers": {
    "usda-mcp-server": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@cyanheads/usda-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info",
        "USDA_FDC_API_KEY": "your-api-key"
      }
    }
  }
}

Or with Docker:

{
  "mcpServers": {
    "usda-mcp-server": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "MCP_TRANSPORT_TYPE=stdio",
        "-e", "USDA_FDC_API_KEY=your-api-key",
        "ghcr.io/cyanheads/usda-mcp-server:latest"
      ]
    }
  }
}

For Streamable HTTP, set the transport and start the server:

MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 USDA_FDC_API_KEY=your-api-key bun run start:http
# Server listens at http://localhost:3010/mcp

Prerequisites

  • Bun v1.3.2 or higher (or Node.js v24+).
  • A free USDA FDC API key — register at api.data.gov/signup. The key is required; without it the server will not start.

Installation

  1. Clone the repository:
git clone https://github.com/cyanheads/usda-mcp-server.git
  1. Navigate into the directory:
cd usda-mcp-server
  1. Install dependencies:
bun install
  1. Configure environment:
cp .env.example .env
# edit .env and set USDA_FDC_API_KEY

Configuration

Variable Description Default
USDA_FDC_API_KEY Required. USDA FoodData Central API key from api.data.gov.
MCP_TRANSPORT_TYPE Transport: stdio or http. stdio
MCP_HTTP_PORT Port for HTTP server. 3010
MCP_AUTH_MODE Auth mode: none, jwt, or oauth. none
MCP_LOG_LEVEL Log level (RFC 5424). info
LOGS_DIR Directory for log files (Node.js only). <project-root>/logs
STORAGE_PROVIDER_TYPE Storage backend. in-memory
OTEL_ENABLED Enable OpenTelemetry instrumentation (spans, metrics, completion logs). false

See .env.example for the full list of optional overrides.

Running the server

Local development

  • Build and run:

    # One-time build
    bun run rebuild
    
    # Run the built server
    bun run start:stdio
    # or
    bun run start:http
    
  • Run checks and tests:

    bun run devcheck   # Lint, format, typecheck, security
    bun run test       # Vitest test suite
    bun run lint:mcp   # Validate MCP definitions against spec
    

Docker

docker build -t usda-mcp-server .
docker run --rm -e USDA_FDC_API_KEY=your-key -p 3010:3010 usda-mcp-server

The Dockerfile defaults to HTTP transport, stateless session mode, and logs to /var/log/usda-mcp-server. OpenTelemetry peer dependencies are installed by default — build with --build-arg OTEL_ENABLED=false to omit them.

Project structure

Directory Purpose
src/index.ts createApp() entry point — registers tools, resources, and inits FdcService.
src/config Server-specific environment variable parsing and validation with Zod (USDA_FDC_API_KEY).
src/mcp-server/tools Tool definitions (*.tool.ts) — search, get, batch, compare, list-nutrients.
src/mcp-server/resources Resource definitions (*.resource.ts) — food profile and nutrient reference.
src/services/fdc FdcService — USDA FDC API client, normalization, and static nutrient reference data.
tests/ Unit tests mirroring src/ — 50 tests across all tools and resources.

Development guide

See CLAUDE.md for development guidelines and architectural rules. The short version:

  • Handlers throw, framework catches — no try/catch in tool logic
  • Use ctx.log for request-scoped logging, ctx.state for tenant-scoped storage
  • Register new tools and resources via the barrels in src/mcp-server/*/definitions/index.ts
  • Wrap external API calls: validate raw → normalize to domain type → return output schema; never fabricate missing fields

Contributing

Issues and pull requests are welcome. Run checks and tests before submitting:

bun run devcheck
bun run test

License

Apache-2.0 — see LICENSE for details.

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