USDA NASS MCP Server
Access US agricultural statistics via USDA NASS — query crop yields, livestock data, farm economics and demographics from any AI agent.
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What is the USDA NASS MCP Server?
The USDA NASS MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to USDA NASS. Access US agricultural statistics via USDA NASS — query crop yields, livestock data, farm economics and demographics from any AI agent. Powered by the Vinkius AI Gateway — no API keys, no infrastructure, connect in under 2 minutes.
USDA NASS MCP Server: see your AI Agent in action
Built-in capabilities (8)
get_crop_summary
Requires a commodity name (e.g. CORN, SOYBEANS, WHEAT, COTTON). Optionally filter by state and year. Returns detailed statistics with units, geographic scope and time period. Get crop production summary from USDA NASS
get_demographics_data
Optionally filter by state and year. Sector is automatically set to DEMOGRAPHICS. Get farm demographics data from USDA NASS
get_economics_data
Optionally filter by commodity, state and year. Sector is automatically set to ECONOMICS. Get agricultural economics data from USDA NASS
get_livestock_summary
Requires a commodity name (e.g. CATTLE, HOGS, CHICKENS, MILK, EGGS). Optionally filter by state and year. Get livestock production summary from USDA NASS
get_param_values
Parameters include: sector, group, commodity, commodity_desc, short_desc, source_desc, util_desc, unit_desc, freq_desc, domain_desc, state, county. Use this to discover what values you can filter by before making queries. Get valid values for a Quick Stats parameter
get_quick_stats
Accepts parameters: sector (CROPS, ANIMALS & PRODUCTS, ECONOMICS, DEMOGRAPHICS), commodity, group, commodity_desc, state, year, freq (ANNUAL, MONTHLY), unit_desc, source_desc. Returns statistical data with value, unit, state, year and commodity information. Use get_param_values to discover valid parameter values before querying. Query USDA NASS Quick Stats database
get_survey_info
This is useful for understanding what data is available and how frequently it is collected. Get information about USDA NASS surveys
search_by_commodity
Optionally filter by state, year and sector. This is a broad search that returns all available data for the commodity, including production, price, inventory and acreage statistics. Search Quick Stats by commodity name
What this connector unlocks
Connect to USDA NASS (National Agricultural Statistics Service) APIs through any AI agent and explore American agriculture data through natural conversation.
What you can do
- Crop Production — Query yield, production, harvested acres and price data for all major crops (corn, soybeans, wheat, cotton, rice)
- Livestock Data — Retrieve cattle inventory, hog production, poultry statistics, milk and egg production data
- Agricultural Economics — Access prices received/paid by farmers, farm income, production expenses and land values
- Farm Demographics — Explore Census of Agriculture data including operator age, experience, occupation and veteran status
- Parameter Discovery — Discover valid values for any filter parameter (commodities, states, years, units)
- Survey Metadata — Review information about all NASS surveys including frequencies and methodologies
How it works
1. Subscribe to this server
2. Enter your USDA NASS API Key (free at nass.usda.gov/developer)
3. Start exploring agricultural data from Claude, Cursor, or any MCP-compatible client
No more navigating complex Quick Stats interfaces to find crop yields or livestock data. Your AI acts as a dedicated agricultural data analyst.
Who is this for?
- Agricultural Analysts — quickly query crop production data, compare yields across states and track price trends
- Farmers & Ranchers — check market prices, review production statistics and benchmark against state/national averages
- Researchers — access demographics data, survey methodologies and historical agricultural statistics for academic work
- Commodity Traders — monitor production volumes, inventory levels and economic indicators for market analysis
Frequently asked questions
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