F
licenseNot graded
qualityC
maintenanceProvides access to USDA FoodData Central database, enabling food search, nutrition details, and comparison for dietary analysis via MCP.
5
-
nutrition
Server Details
Nutrition MCP — wraps Open Food Facts API (free, no auth)
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- Status
- Unhealthy
- Uptime
- 12.8% over 38 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- pipeworx-io/mcp-nutrition
- GitHub Stars
- 0
- Server Listing
- mcp-nutrition
TDQS
A4.4/5.0
Scored across 31 tools
Disambiguation5/5
Each tool has a clearly distinct purpose, from general queries (ask_pipeworx) to specific tasks (bet_research, compare_entities). Overlapping tools like ask_pipeworx and ask_pipeworx_beta are explicitly differentiated by description.
Naming Consistency4/5
Tool names mostly follow a verb_noun snake_case pattern (e.g., resolve_entity, list_subscriptions). Minor inconsistencies exist (single-word verbs like 'forget' vs compound names like 'generate_llms_txt'), but the overall pattern is predictable.
Tool Count3/5
31 tools is high but justified by the broad scope (data querying across many domains). Some tools are niche (e.g., generate_llms_txt, scan_competitor_ai_presence), but the count remains manageable.
Completeness4/5
The tool set covers querying, grounded answers, deep research, entity profiles, comparisons, prediction markets, change tracking, memory, subscriptions, and more. Minor gaps exist (e.g., user management), but core workflows are well-supported.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- Changed
deep_research1 field changed- changed
Input schema / properties / depth / descriptionPrevious value: -"How many facets to research in parallel: quick=3 (single hop), standard=5 (default; adds a gap-recovery hop that re-angles unanswered facets + a contradictions[] scan across findings), thorough=8 (paid; adds a full iterative hop that chases leads + recovers gaps, plus the contradictions[] scan)."New value: +"How many facets to research in parallel: quick=3 (single hop), standard=3 (default; adds a gap-recovery hop that re-angles unanswered facets + a contradictions[] scan across findings), thorough=6 (paid; adds a full iterative hop that chases leads + recovers gaps, plus the contradictions[] scan)."
Related MCP Connectors
USDA FoodData Central nutrient lookup, FDA recall watch, EU FMCG labelling via remote MCP
Unlock the power of food transparency with our Open Food Facts MCP server. Easily look up any food
Fruityvice MCP — wraps Fruityvice API (free, no auth)
Related MCP Servers
- AlicenseAqualityDmaintenanceMCP server for Open Food Facts, enabling food product lookup by barcode, search, nutrition facts, allergen checks, and eco-scores without an API key.8MIT
- FlicenseBqualityFmaintenanceThis MCP is used to get realtime food data from OpenFoodFacts database. OpenFoodFacts is a largest food database in the world.2113 npm20-
- AlicenseAqualityAmaintenanceProduct evaluation MCP server for US packaged food. Health scores, ingredient safety, regulatory flags, recall history, corporate ownership.21MIT
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