USDA NASS MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect USDA NASS through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using USDA NASS, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About USDA NASS MCP Server
Connect to USDA NASS (National Agricultural Statistics Service) APIs through any AI agent and explore American agriculture data through natural conversation.
The Vercel AI SDK gives every USDA NASS tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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
The USDA NASS MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect USDA NASS to Vercel AI SDK via MCP
Follow these steps to integrate the USDA NASS MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from USDA NASS and passes them to the LLM
Why Use Vercel AI SDK with the USDA NASS MCP Server
Vercel AI SDK provides unique advantages when paired with USDA NASS through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same USDA NASS integration everywhere
Built-in streaming UI primitives let you display USDA NASS tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
USDA NASS + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the USDA NASS MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query USDA NASS in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate USDA NASS tools and return structured JSON responses to any frontend
Chatbots with tool use: embed USDA NASS capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with USDA NASS through natural language queries
USDA NASS MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect USDA NASS to Vercel AI SDK via MCP:
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
Example Prompts for USDA NASS in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with USDA NASS immediately.
"Show me the corn production summary for Iowa in 2024."
"What are the current cattle inventory numbers for Texas?"
"Show me what commodity values are available for filtering."
Troubleshooting USDA NASS MCP Server with Vercel AI SDK
Common issues when connecting USDA NASS to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUSDA NASS + Vercel AI SDK FAQ
Common questions about integrating USDA NASS MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect USDA NASS with your favorite client
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Connect USDA NASS to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.