What deployment options are available?
Three deployment options: a hosted service, local development setup, or a custom server. The smart bridge auto-detects which mode to use.
@zen-apps
Basic information
Professional MCP server providing access to 600k+ foods from USDA FoodData Central. Features dual architecture (MCP + HTTP API), three deployment options (hosted/local/custom), and production-ready tools for nutrition analysis, food comparison, and dietary planning.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"usda-nutrition": {
"command": "python3",
"args": [
"/path/to/downloaded/mcp_bridge.py"
]
}
}
}Tool 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.
USDA Nutrition Mcp Server is a professional Model Context Protocol (MCP) server that integrates with the USDA FoodData Central database, providing access to over 600,000 foods. It is designed for developers and AI assistants that need reliable, production-ready nutritional data.
Download the bridge file and add it to your Claude Desktop configuration. The server supports three deployment options: hosted service, local development, or a custom server. Configuration is done via the mcp_bridge.py file and standard MCP client setup.
Three deployment options: a hosted service, local development setup, or a custom server. The smart bridge auto-detects which mode to use.
Run `wget https://raw.githubusercontent.com/yourusername/mcp-nutrition-tools/main/src/mcp_bridge.py` and install dependencies with `pip install`. Then configure Claude Desktop to use the bridge.
It uses the USDA FoodData Central database, which contains over 600,000 food items.
The server includes built-in rate limiting and retry logic for production readiness.
Yes, it supports local development as one of its three deployment options.
A search tool helps dev to solve the naming things problem.

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