Enables checking cosmetic ingredient safety and multi-jurisdiction compliance across 12 regulatory bodies, backed by a comprehensive dataset of safety opinions and studies.
Enables AI assistants to search beauty products from Korean catalogs (Olive Young, Daiso, e-commerce) and analyze personal skincare routines and ingredient compositions via BeauticsLab.
Condition-aware ingredient & product safety intelligence for AI agents. Every answer carries a claim-level evidence attestation, verdict, an evidence tier, and a citation – curated against authoritative sources (LactMed, InfantRisk, PubMed, DSLD, DermNet, EU CosIng) by Health AI.
Hosted MCP server – no install, no key. Endpoint: https://mcp.healthai.com (Streamable HTTP, JSON-RPC 2
Enables semantic search and natural language product recommendations using ChromaDB vector store and Azure OpenAI embeddings. Supports multi-filter search by category, brand, and price with 8 specialized MCP methods for intelligent product discovery.
Enables product enrichment with sentiment analysis, category mapping, and attribute extraction; provides tools to fetch top products and cluster summaries.
Cleo Skills MCP turns 45 production-grade product-compliance skills into a native MCP server.
Cosmetics, food, electronics, toys, textiles, supplements, medical devices, customs, recalls, claims, sustainability — exposed as MCP resources (skill://), parameterized prompts, and 3 structured tools (list_skills, find_skill, read_skill). Drop into Claude Desktop, Cursor, or Continue. MIT licensed