usda-mcp-server
Enables searching USDA foods, comparing nutrients, and accessing the full FoodData Central database via MCP tools and resources.
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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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"indataTypefor 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) andpageNumber - Returns FDC IDs and a preview of key nutrients (energy, protein, fat, carbs) — use
usda_get_foodfor 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+unitto 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 (useusda_list_nutrientsto 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_foodcalls 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
categoryfilter:macronutrients,vitamins,minerals,lipids,amino_acids,other - Resolves nutrient names (e.g.
"vitamin C") to FDC IDs (1162) for use innutrients[]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 structuredfailed[]/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
- Clone the repository:
git clone https://github.com/cyanheads/usda-mcp-server.git
- Navigate into the directory:
cd usda-mcp-server
- Install dependencies:
bun install
- 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/catchin tool logic - Use
ctx.logfor request-scoped logging,ctx.statefor 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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