# USDA Nutrition Database MCP Server

> Use this tool when you need to access reliable nutrition information or compare the nutritional content of various foods. It solves problems such as finding foods rich in specific nutrients or querying detailed nutrition data through a user-friendly interface that accepts natural language inputs and returns authoritative nutrition data. It is ideal for use cases where accurate and comprehensive nutrition information is required, such as meal planning or nutrition research.

Canonical page: https://skillsregistry.net/skills/hemantapatil-mcp-postgres  
JSON: https://api.skillsregistry.net/v1/skills/hemantapatil-mcp-postgres

## Description

Provides intelligent access to the USDA nutrition database through AI assistants, enabling users to search foods, compare nutritional content, find foods high in specific nutrients, and query authoritative nutrition data across 7,146+ food items through natural language.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sb53w9wuy0)
- **Repository:** <https://github.com/HemantaPatil/mcp_postgres>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "hemantapatil-mcp-postgres"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hemantapatil-mcp-postgres` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hemantapatil-mcp-postgres/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
