Integrate USDA NASS with Claude, Cursor, Chatbots & AI Agents MCP Server

Access US agricultural statistics via USDA NASS — query crop yields, livestock data, farm economics and demographics from any AI agent.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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Get crop summary on USDA NASS

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

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Get demographics data on USDA NASS

Optionally filter by state and year. Sector is automatically set to DEMOGRAPHICS. Get farm demographics data from USDA NASS

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Get economics data on USDA NASS

Optionally filter by commodity, state and year. Sector is automatically set to ECONOMICS. Get agricultural economics data from USDA NASS

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Get livestock summary on USDA NASS

Requires a commodity name (e.g. CATTLE, HOGS, CHICKENS, MILK, EGGS). Optionally filter by state and year. Get livestock production summary from USDA NASS

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Get param values on USDA NASS

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

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Get quick stats on USDA NASS

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

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Get survey info on USDA NASS

This is useful for understanding what data is available and how frequently it is collected. Get information about USDA NASS surveys

Search by commodity on USDA NASS

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

Security & Code Integrity Audit

Every tool in the USDA NASS MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

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.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

USDA NASS Capabilities for AI Assistants

Securely interface Claude Code, ChatGPT, and Cursor with the USDA NASS API through semantic routing and standardized natural language triggers.

Autonomous crop statistics Strategies

Provide Claude Code and Cursor with read and write access to crop statistics. The USDA NASS toolkit handles all necessary routing for data analytics integrations.

Streamlining livestock data

The USDA NASS toolkit translates Claude's commands into livestock data operations. The MCP server ensures accurate delivery within the data analytics ecosystem.