USDA NASS MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add USDA NASS as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to USDA NASS. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in USDA NASS?"
)
print(response)
asyncio.run(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.
LlamaIndex agents combine USDA NASS tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the USDA NASS MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from USDA NASS
Why Use LlamaIndex with the USDA NASS MCP Server
LlamaIndex provides unique advantages when paired with USDA NASS through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine USDA NASS tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain USDA NASS tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query USDA NASS, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what USDA NASS tools were called, what data was returned, and how it influenced the final answer
USDA NASS + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the USDA NASS MCP Server delivers measurable value.
Hybrid search: combine USDA NASS real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query USDA NASS to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying USDA NASS for fresh data
Analytical workflows: chain USDA NASS queries with LlamaIndex's data connectors to build multi-source analytical reports
USDA NASS MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect USDA NASS to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting USDA NASS to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpUSDA NASS + LlamaIndex FAQ
Common questions about integrating USDA NASS MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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Connect USDA NASS to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.