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
基本信息
MCP Server Template for USDA Tools
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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