NASS
Interfaces with the USDA NASS Quick Stats API to provide agricultural survey and census data to agentic AI systems.
About
The NASS tool acts as an indispensable MCP server, bridging the gap between agentic AI systems and the vast repository of agricultural survey and census data housed within the USDA National Agricultural Statistics Service (NASS) 'Quick Stats' API. It streamlines access to critical information on United States agricultural production, enabling AI agents to programmatically query, retrieve, and analyze comprehensive datasets, record counts, and explore available API parameters for informed decision-making and data-driven insights.
Key Features
- Access comprehensive agricultural survey and census data from USDA NASS via 'Quick Stats' API.
- Retrieve specific record counts for targeted data queries based on commodity, location, and time.
- Discover all possible values for NASS API query parameters by name.
- Supports configurable output formats for NASS API data: CSV, JSON, or XML.
- Offers flexible deployment options, including Docker containerization and direct Python installation.
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Use Cases
- Developing AI applications that require insights into historical or current agricultural production data.
- Empowering agentic AI systems with programmatic access to detailed agricultural statistics.
- Automating data collection and analysis workflows for USDA NASS datasets.