How do I install and start MCP USDA Server?
Install Node.js v14 or later, clone the repository, run `npm install` in the project directory, then start the server with `npm start`. The server runs on port 3100 by default.
@AntonioPavoni
Basic information
MCP Server Template for USDA Tools
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP USDA Server is a modular MCP (Model Context Protocol) server template for fetching and formatting agricultural data from the USDA Foreign Agricultural Service (FAS) Production, Supply and Distribution (PSD) database. It provides five specialized tools that expose agricultural data to Large Language Models (LLMs) in a format optimized for LLM consumption.
Clone the repository, install dependencies with npm install, and start the server with npm start. The server listens on port 3100 by default and communicates with an MCP client via JSON‑RPC 2.0. Tools are invoked by sending properly formatted JSON‑RPC requests (e.g., tools/execute with a tool name and arguments).
Install Node.js v14 or later, clone the repository, run `npm install` in the project directory, then start the server with `npm start`. The server runs on port 3100 by default.
It provides five tools: `usda‑psd‑regions`, `usda‑psd‑countries`, `usda‑psd‑commodities`, `usda‑psd‑units‑of‑measure`, and `usda‑psd‑commodity‑attributes`. Each fetches and formats data from the USDA FAS PSD API.
It uses JSON‑RPC 2.0 as its communication protocol. Clients can send tool listing requests (`tools/list`) and tool execution requests (`tools/execute`) with the appropriate parameters.
Yes, the server is LLM‑agnostic. It works with any LLM that supports function/tool calling (e.g., GPT‑4, Claude 3, Gemini) or that can follow structured instructions about available tools.
You need Node.js version 14 or higher and npm (or yarn). The project runs as a simple HTTP server with no additional database or external runtime dependencies.
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