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USDA NASS Server

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Enables access to USDA NASS agricultural statistics data through natural language queries, supporting full dataset retrieval, record counts, and parameter disco

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Описание

Enables access to USDA NASS agricultural statistics data through natural language queries, supporting full dataset retrieval, record counts, and parameter discovery.

README

The USDA National Agricultural Statistics Service API, known as Quick Stats, contains survey and census data on United States agricultural production.

NASS API access

Request an API key here.

Tools

get_full_dataset(query: Query) -> str

Get all available data for a given commodity, location, and time.

Arguments:

  • query (Query): Dictionary with three keys, "commodity", "location", and "time", each with a dictionary of parameter and value pairs.

Returns:

  • str: Full response text as a string

get_db_record_count(query: Query) -> str

Get the number, or count, of database records of a given commodity for a location and time.

Arguments:

  • query (Query): Dictionary with three keys, "commodity", "location", and "time", each with a dictionary of parameter and value pairs.

Returns:

  • str: String of JSON data with one key, "count", and a value of the number of records.

get_param_values(query: ParameterQuery) -> str

Get all possible values of a query parameter by its name.

Arguments:

  • parameter (ParameterQuery): Dictionary with one key, "param", and a value of the parameter name to get the values for.

Returns:

  • str: String of JSON data with the parameter names and all their possible values as a list.

Getting started

I highly recommend using uv for package and virtual environment management.

Docker

The Dockerfile is setup to run the MCP server with default settings. Using make, you can build an image and run a container:

  • build: build the image from Dockerfile
  • run: run the MCP server with default settings (e.g. localhost, 8000:8000)

The short way

Setup command

If you have make, uv, and are on macOS/Linux, running make setup should be all you need to get started with the project.

The long way

Installation

Activate your virtual environment and:

pip install -r requirements.txt

.env

Copy the .env.example to a .env file. Replace the value of NASS_API_KEY with your NASS API key.

Configuration

There are several configuration options for changing functionality of the MCP server.

The following configurations are available as environment variables:

Option Values Default Description
NASS_API_KEY string Your NASS API key
NASS_MCP_HOST string 0.0.0.0 The host to run the MCP server on
NASS_MCP_PORT integer 8000 The port to run the MCP server on
NASS_MCP_FORMAT CSV or JSON or XML CSV The format to return the data in from the NASS API /api_GET endpoint
NASS_ENV production A flag for telling the MCP server to skip local dev steps (e.g. load_dotenv)

The following configurations are available as command line arguments

Option Values Default Description
-t --transport streamable-http or stdio streamable-http Transport protocol for the MCP server

from github.com/kin5/nass-mcp-server

Установка USDA NASS Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/kin5/nass-mcp-server

FAQ

USDA NASS Server MCP бесплатный?

Да, USDA NASS Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для USDA NASS Server?

Нет, USDA NASS Server работает без API-ключей и переменных окружения.

USDA NASS Server — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить USDA NASS Server в Claude Desktop, Claude Code или Cursor?

Открой USDA NASS Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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