A Model Context Protocol server that provides access to the USDA's FoodData Central database, allowing AI assistants to search for foods and retrieve detailed nutritional information. The implementation supports searching by keywords, retrieving food details by ID, accessing multiple foods simultaneously, and listing foods with pagination options. It exposes both MCP resources for direct data access and tools for more complex search operations, making it useful for nutrition analysis, meal planning, and dietary information retrieval applications.
Cognium trust score
96%
Tier
Verified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Last scanned 2026-09-28.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.