This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Cutaneous Transepidermal Water Loss (TEWL) and Stratum Corneum Barrier Integrity Analyzer based on Fick's first law of diffusion.
flowchart TD
A[Dual Temp & RH Sensors: Surface & Ambient] --> B[Magnus-Tetens Saturation Pressures]
B --> C[Compute Partial Vapor Pressure Gradient]
C --> D[Fickian Vapor Flux: TEWL in g/m2/h]
D --> E[Stratum Corneum Barrier Integrity Score]
E --> F[Clinical & Cosmetic Barrier Guidance]Zero PIP Dependencies: Implemented strictly with Python Standard Library (math, json, sys, typing).
Physical Diffusion Laws: Magnus-Tetens formula and Fick's first law of steady-state diffusion.
Micro-Climate Sensitivity: Compensates for sensor geometry and ambient conditions.
Dual Architecture: Native Python import and Model Context Protocol (MCP) JSON-RPC 2.0 stdio server.
Related MCP server: two-point-discrimination
python example_usage.pyApache-2.0
Decode skincare ingredient labels (1% line, % ranges, what each does) and get US dry skin forecasts.
Neutral, payment-blind reference of 1,682 dermacosmetic products: lookup, search, alternatives.
TDA Logic by NanoBase™ is an add-on for the AI you already use. Your assistant keeps everything it knows about formulation; this server connects alongside it so it can build leave-on cosmetic formulas on NanoBase™ using TDA logic (Tri-Domain Architecture logic). Pensive Beauty® Nanoscience Labs, a cosmetic nanoscience laboratory in Seffner, Florida, manufactures NanoBase™, a cosmetic raw material: a tri-domain nano-colloidal Architecture with nanocolloidal, nanoliposomal and nanomicellar domains, designed to an electrostatic (DLVO) stabilisation specification rather than an HLB emulsifier target, engineered to a ~185 nm design target, DLS-characterised every batch, and used at 55-90% of leave-on cosmetic formulas that brands complete with standard cosmetic equipment. What your AI can do: - Learn the workflow and formulating rules (nanobase_primer, nanobase_knowledge). - Look up an ingredient by INCI name in the NanoBase™ ingredient library (search_ingredients). Any literature shown for an active is published third-party data with its citation, not a NanoBase™ result. - Check a finished formula against the NanoBase™ loading envelope and pH window, with a verdict and remedies (check_formula). - Add an ingredient the library does not list by sending its supplier document (submit_ingredient). - Check preservative levels against regulatory caps (preservation_check). - Build the on-pack INCI list, highest to lowest (inci_label). - See the plan and formula runs used (account_status). Data: formulas are not stored. Supplier documents sent for unlisted ingredients are kept to build the ingredient library. NanoBase™ composition, processing and equipment are confidential and are not available through this server. Ingredients are named by INCI only. Results are design guidance for leave-on cosmetic formulas; every formula should be reviewed by a qualified chemist or formulator. Built for brands and formulators who use a general-purpose AI assistant, and for companies building AI formulation tools. Sign in with a NanoBase™ API account (OAuth) or use an API key. Free plan available. Setup guide: https://api.nanobaselabs.com/setup
Fuses biometric signals into a stress score (0-100) for AI adaptation. MCP + A2A native.
