USDA NASS Connector for AI agents.
8 live capabilities
Access real-time US crop yields and livestock data through natural conversation.
Waiting for input…
Why people use USDA NASS
USDA NASS for Accurate Crop and Livestock Statistics
This Connector changes that by letting you just ask your agent for the numbers. You can request a summary of wheat production in Kansas or look up cattle inventory in Texas in seconds. You get the data in a clean format, ready for your report, without ever leaving your chat window.
What Vinkius changes
You get direct access to federal agricultural data through simple conversation.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Monitoring cattle inventory trends
A trader asks the agent for Texas cattle inventory.
- Real-world use case 02
Building regional crop reports
An analyst asks for Iowa corn yields in 2024.
- Real-world use case 03
Analyzing farm operator demographics
A researcher asks about farm demographics.
Complete set · 8capabilities
The complete USDA NASS capability set.
These are the exact actions your AI can choose when you ask it to work with USDA NASS.
01—04
4 capabilities in this set.
Part of 8 available through USDA NASS.
- 01 Capability
Get demographics data
Pull census data about farm operators, including age and experience. It's great for understanding who is actually running the farms.
- 02 Capability
Get economics data
Access farm income, production expenses, and land values. This gives you a clear picture of the financial side of agriculture.
- 03 Capability
Get param values
Check what filters are available for different categories like state or year. Use this to see exactly what data points you can query.
- 04 Capability
Get quick stats
Query the main database for specific values like yield or price. It pulls the core statistics you need for a quick overview.
05—08
4 capabilities in this set.
Part of 8 available through USDA NASS.
- 05 Capability
Get survey info
See what surveys are available and how often they collect data. This helps you understand the scope of the information you can request.
- 06 Capability
Search by commodity
Find all available data for a specific commodity like wheat or rice. It returns production, price, and acreage stats in one go.
- 07 Capability
Get livestock summary
Retrieve production numbers for cattle, hogs, and poultry. You can see inventory levels and totals for specific regions.
- 08 Capability
Get crop summary
Get detailed stats on specific crops like corn or soybeans. You can filter by state and year to see production and price data.
Set up in minutes
One URL. Then ask USDA NASS to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use USDA NASS from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_PlFn4feNqVF9wiVJS8FXbBowTEREAYjkrMR5jugU/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it USDA NASS, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable USDA NASS for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_PlFn4feNqVF9wiVJS8FXbBowTEREAYjkrMR5jugU/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the USDA NASS URL.
- Step 03
Save and start
Save the connection and enable USDA NASS in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"usda-nass": {
"url": "https://edge.vinkius.com/vk_preview_PlFn4feNqVF9wiVJS8FXbBowTEREAYjkrMR5jugU/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using USDA NASS
Open Agent mode in chat and ask: "Using USDA NASS, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"usda-nass": {
"url": "https://edge.vinkius.com/vk_preview_PlFn4feNqVF9wiVJS8FXbBowTEREAYjkrMR5jugU/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using USDA NASS
Ask Copilot: "Using USDA NASS, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"usda-nass": {
"url": "https://edge.vinkius.com/vk_preview_PlFn4feNqVF9wiVJS8FXbBowTEREAYjkrMR5jugU/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using USDA NASS
Open Cascade and ask: "Using USDA NASS, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"usda-nass": {
"url": "https://edge.vinkius.com/vk_preview_PlFn4feNqVF9wiVJS8FXbBowTEREAYjkrMR5jugU/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using USDA NASS
Ask Cline: "Using USDA NASS, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add usda-nass --transport http "https://edge.vinkius.com/vk_preview_PlFn4feNqVF9wiVJS8FXbBowTEREAYjkrMR5jugU/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using USDA NASS
Ask Claude: "Using USDA NASS, show me...". 8 tools are ready
Where the request belongs
Work USDA NASS can move forward.
This is for professionals who need hard numbers on US agriculture but hate manual data scraping. It is for the analyst, the researcher, and the trader who needs facts fast.
Agricultural Analyst
Queries state-by-state production yields to build regional reports.
Commodity Trader
Monitors inventory levels and price trends to inform market moves.
Academic Researcher
Pulls historical census data and survey methodologies for studies.
Farm Manager
Checks national averages to benchmark their own production stats.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsERS USDA (Economic Research)
Access USDA Economic Research Service data, specifically the Agricultural Resource Management Survey (ARMS), covering farm finances and production.
OpenFarm Agriculture
Access crowdsourced agricultural data. search for crops, growing guides, and planting instructions.
BEA (Bureau of Economic Analysis)
Access official US economic statistics including GDP, personal income, and industry data directly from the Bureau of Economic Analysis.
OneSoil
Manage agricultural fields, monitor crop health via NDVI, and access hyper-local weather data directly from your AI agent.
Farm Profitability Dashboard
Calculate comprehensive farm profitability, EBITDA, and crop efficiency metrics.
Agro
Monitor agricultural land using satellite imagery, weather data, and soil metrics directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep USDA NASS connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about USDA NASS.
The practical details behind the request, access and result.
How can I use USDA NASS to get crop yields?
You can ask your agent to pull specific yield data for any major crop like corn or wheat. It will automatically find the production numbers and harvested acres for the state or year you specify.
Can this Connector show me livestock numbers?
Yes, it can pull summaries for cattle, hogs, poultry, and even milk and egg production. You just tell your agent which animal or product you want to see.
Is the data from USDA NASS updated in real-time?
The data reflects the latest available statistics from the National Agricultural Statistics Service. Your agent will pull the most recent records for prices, production, and inventory.
Can I use this for farm economics research?
Definitely. You can ask about farm income, production expenses, and land values. It's a great way to get a clear picture of the financial side of US agriculture.
What kind of farm demographics can I see?
You can see data on farm operators, including their age, years of experience, and occupation. It's perfect for understanding the human side of the agricultural industry.
Does the USDA NASS MCP support all types of crops?
It covers all the major crops like corn, soybeans, wheat, cotton, and rice. You can also check for smaller commodities by asking your agent to search for them.
How do I get a USDA NASS API key?
Visit nass.usda.gov/developer and register for a free API key. The key is delivered instantly via the web form. It's completely free with no usage cost.
What crops and commodities are available?
The NASS Quick Stats database covers all major US agricultural commodities: CORN, SOYBEANS, WHEAT, COTTON, RICE, SORGHUM, OATS, BARLEY, HAY, PEANUTS, POTATOES for crops; CATTLE, HOGS, CHICKENS, TURKEYS, MILK, EGGS, HONEY for livestock; plus fruit, vegetables, nursery products and many more. Use get_param_values with param 'commodity' to see the complete list.
Can I filter data by state and year?
Yes! All query capabilities support optional state and year parameters. State can be the full name (e.g. 'IOWA') or abbreviation (e.g. 'IA'). Year accepts specific years (e.g. '2024') or ranges. The data returned includes the state, year, commodity, value and unit for each record.
What kind of economic data is available?
The ECONOMICS sector includes: prices received by farmers for crops and livestock, prices paid by farmers (inputs, feed, fuel), farm production expenses, farm real estate values, cash rent for cropland and pasture, and agricultural income data. Use get_economics_data to query by commodity, state and year.
One connection away
Give your agent a direct line to USDA NASS.
Connect USDA NASS once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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