USDA NASS Server
FreeNot checkedEnables access to USDA NASS agricultural statistics data through natural language queries, supporting full dataset retrieval, record counts, and parameter disco
About
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 fromDockerfilerun: 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 |
Installing USDA NASS Server
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/kin5/nass-mcp-serverFAQ
Is USDA NASS Server MCP free?
Yes, USDA NASS Server MCP is free — one-click install via Unyly at no cost.
Does USDA NASS Server need an API key?
No, USDA NASS Server runs without API keys or environment variables.
Is USDA NASS Server hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install USDA NASS Server in Claude Desktop, Claude Code or Cursor?
Open USDA NASS Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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