Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@USDA NASS MCP Server show me corn production in Iowa 2023"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
The USDA National Agricultural Statistics Service API, known as Quick Stats, contains survey and census data on United States agricultural production.
Request an API key here.
get_full_dataset(query: Query) -> strGet 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) -> strGet 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) -> strGet 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.
Related MCP server: USDA MCP Server
I highly recommend using uv for package and virtual environment management.
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)
If you have make, uv, and are on macOS/Linux, running make setup should be all you need to get started with the project.
Activate your virtual environment and:
pip install -r requirements.txtCopy the .env.example to a .env file. Replace the value of NASS_API_KEY with your NASS API key.
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 |
| Your NASS API key | |
NASS_MCP_HOST |
|
| The host to run the MCP server on |
NASS_MCP_PORT |
|
| The port to run the MCP server on |
NASS_MCP_FORMAT |
|
| The format to return the data in from the NASS API |
NASS_ENV |
| A flag for telling the MCP server to skip local dev steps (e.g. |
The following configurations are available as command line arguments
Option | Values | Default | Description |
|
|
| Transport protocol for the MCP server |
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Access US federal award, recipient, agency, and spending analytics data from USAspending.gov.
US weather, alerts, earthquakes and elevation for AI agents, from NWS/NOAA and USGS. No API keys.
Search US grants + federal contracts (Grants.gov + SAM.gov) from any LLM.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/kin5/nass-mcp-server'
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