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Food Logger MCP

Food logging, nutrition summaries, and meal photo calorie and macro estimates.

RUN IN TERMINAL
# See repository for install instructions
ADD TO claude_desktop_config.json
{ "mcpServers": { "aisigfoodlog-food-logger": { "command": "npx", "args": [] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "aisigfoodlog-food-logger": { "command": "npx", "args": [] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "aisigfoodlog-food-logger": { "command": "npx", "args": [] } } }

TRY THIS MCP

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About This MCP Server

The ai.sig.foodlog/food-logger server is an ai-ml tool that enables food logging, nutrition summaries, and meal photo calorie and macro estimates, connecting to remote systems to provide these functionalities. Developers would reach for this tool when building applications that require users to track their food intake and receive nutritional information. It is hosted on the GitHub repository at https://github.com/sigaihealth/foodlogger, where more details about its implementation and usage can be found.

Food logging, nutrition summaries, and meal photo calorie and macro estimates.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the streamable-http transport.

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the streamable-http transport.

What tools does it provide?

The Food Logger MCP server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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