MCP server
Usda
io.github.cyanheads/usda-mcp-server
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Search foods, compare nutrients, and look up the full USDA FoodData Central database.
Working at last checkAbout 2,513 tokens per request once connected5 tools
https://usda.caseyjhand.com/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 5
- Token cost
- About 2,513 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http usda-mcp-server https://usda.caseyjhand.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.usda-mcp-server] url = "https://usda.caseyjhand.com/mcp"
Gemini CLI
{"mcpServers":{"usda-mcp-server":{"httpUrl":"https://usda.caseyjhand.com/mcp"}}}
Cursor
{"mcpServers":{"usda-mcp-server":{"url":"https://usda.caseyjhand.com/mcp"}}}
VS Code
{"servers":{"usda-mcp-server":{"type":"http","url":"https://usda.caseyjhand.com/mcp"}}}
Antigravity
agy mcp add usda-mcp-server https://usda.caseyjhand.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"usda-mcp-server","server_url":"https://usda.caseyjhand.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"usda-mcp-server","server_url":"https://usda.caseyjhand.com/mcp"}
Tools
usda_compare_foods~569 tokens
Compare nutrients side-by-side for 2–5 foods. Returns a structured table — one row per nutrient, one column per food — formatted as markdown. Best for "spinach vs kale iron" or "which has more protein?" questions. Omit nutrients[] to use the 12 most common defaults (energy, protein, fat, saturated fusda_get_food~587 tokens
Get the full nutrient profile for one food by FDC ID. Returns all available nutrients (or a filtered subset via the nutrients[] param) with optional per-portion scaling. Use usda_search_foods to discover FDC IDs. Provide unit, optionally with quantity, to scale all nutrient values from per-100g to tusda_get_foods~329 tokens
Fetch nutrient profiles for 2–20 foods in a single API call. More efficient than calling usda_get_food N times when you already have multiple FDC IDs. All values are per 100g (no portion scaling). Use the nutrients[] filter to limit response size — strongly recommended for batch calls. For side-by-susda_list_nutrients~252 tokens
Look up the FDC nutrient reference table — all tracked nutrients with their numeric IDs, names, SR reference numbers, units, and categories. Use to resolve a nutrient name (e.g. "vitamin C") to its FDC ID (1162) before passing it to the nutrients[] filter on other tools. Filter by category (macronutusda_search_foods~776 tokens
Search USDA FoodData Central foods by keyword. Returns matching foods with FDC IDs and available preview nutrients: protein (1003), fat (1004), carbohydrate (1005), fiber (1079), and energy (1008, 1062, 2047, 2048), preserving distinct energy estimates. Missing nutrients are omitted. Use the returne
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