fatsecret-mcp
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Alternatives to fatsecret-mcp
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Related Servers
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- AlicenseNot gradedqualityDmaintenanceA filesystem-based MCP server that turns any MCP-capable AI agent into a conversational calorie and protein tracker with natural-language estimates, confidence-aware logging, daily/weekly progress, food-history search, and export, working offline with local fallback data.44 npmMIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that lets you log meals through Claude (and soon ChatGPT) in plain language, using India's official food composition data (IFCT 2017) plus USDA, enabling accurate calorie and macro tracking for Indian dishes with household units and photo logging.76 npm2AGPL 3.0
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol (MCP) server that connects AI assistants to your MyFitnessPal data, enabling reading food diaries, nutrition goals, weight measurements, and more via MFP's web scraping.MIT
- AlicenseNot gradedqualityCmaintenanceEnables logging meals, tracking calories and macros, reviewing daily and range summaries, setting weight goals, searching foods and recipes, and getting meal suggestions from any Claude client, with optional multi-user household support. Includes a local food database for items missing from FatSecret and OAuth-based authentication to FatSecret profiles.MIT
- AlicenseNot gradedqualityBmaintenanceSelf-hosted fitness tracking MCP server that gives AI assistants access to your nutrition, training, weight, sleep, and accomplishment data via 77 tools and 5 resources. Enables natural-language logging and querying of personal health metrics through Claude or ChatGPT.72 npm1BSD 2-Clause "Simplified"
TDQS
Scored across 5 tools
The tools mostly have distinct roles: search catalog foods, read one diary day, read period totals, draft changes, and confirm a draft. The main ambiguity is that draft_entries is an umbrella for adding, editing, removing, and re-logging entries, so its name undersells its scope, though it does not directly overlap with another tool.
All tool names use snake_case with a predictable verb_noun structure: get_diary_day, get_period_summary, search_foods, draft_entries, confirm_draft. The draft_entries/confirm_draft pair is slightly asymmetric in noun choice, but the overall convention is consistent and readable.
Five tools is a compact, well-scoped set for a food diary logging server, with clear separation between reading, searching, drafting, and confirming. Although draft_entries is dense, the overall count is appropriate and each tool earns its place.
The core diary lifecycle is covered: catalog search, daily diary reads, period summaries, drafting new entries and changes, and confirming writes. Minor gaps remain, such as no explicit target management and no multi-day entry-level read beyond period totals.