"Information about Apple Notes" matching MCP connectors:

Validate startup ideas with behavioral evidence — not opinion. Demand Discovery AI™ is a sales-agent MCP that answers founders' questions about the validation framework, the four data-signal categories (Search & attention, Conversation & pain, Adoption & spend, Capital & hiring), the Demand Score™, and the Build/Pivot/Kill verdict™. Includes 7 tools: ask a free-form question, get the validation framework, get product details, explain demand signals, compare validation approaches, get data-source

Moderated usability testing: read sessions, notes, transcripts, reports, and draft test scenarios.

Release notes and changelogs from across the web, indexed for agents. Also via CLI and REST API.

Access to your Apple App Store and Google Play Store rankings, competitors and chart moves.

TDA Logic by NanoBase™: Cosmetic FormulationOAuth

com.nanobaselabs.api

Most AI still formulates skincare with 1940s HLB logic: pick emulsifiers, balance a number, heat two phases, homogenize and hope it holds. TDA (Tri-Domain Architecture) logic is the new standard. Nanocolloidal, liposomal and nanomicellar domains coexist in one chassis, held stable by electrostatic (DLVO) design, so the formula is the delivery system. NanoBase™ is the Architecture TDA logic is built on, and this server teaches your AI assistant to formulate with it. Build modern nanocosmetics, cold: - No heating, no hot oil and water phases, no high-shear homogenizer. Actives go in at room temperature with gentle mixing, which also spares heat-sensitive actives. - No specialized nano equipment. A scale, beakers, an overhead mixer and a pH meter are enough. - No emulsifier blends to source, weigh or balance. The Architecture replaces them. - Every finished formula is a true nanoformulation: on average about 250 nm, a quarter of a micron, measured by DLS. What your AI can do: - Learn TDA logic: how ingredients route into the three domains, and why. - Search more than 2,000 cosmetic ingredients by INCI name, with published third-party delivery data for actives at the nanoscale, with citations. - Check a finished formula against the NanoBase™ loading envelope: verdict, remedies, maximum loads and the pH window (5.7 to 6.2). - Check preservation against regulatory caps. - Build the on-pack INCI label or an internal composition sheet. - Add ingredients the library lacks: upload the supplier document and it is added for you and every user after you. Privacy: formulas are discarded after each answer and conversations are never received. Supplier documents for unlisted ingredients are kept, without the formula or your identity in clear, to grow the library. For brands, independent formulators, labs and contract manufacturers. Outputs are design guidance for leave-on cosmetics and should be reviewed by a qualified chemist or formulator. Free plan at nanobaselabs.com/api.

Governed decision engine: yes/no, score, choice and rank answers about cases, from past outcomes.

MCP for retrieving information about recorded session replays.

Connect to a Sleekplan workspace for customer feedback, roadmap, changelog, and surveys. Feedback: search and filter posts, read threads with votes and voters, create and update, merge duplicates, check for similar requests, pull stats. Triage: apply tags and statuses, assign owners, reply in comments. Surveys: read NPS, CSAT, and multi-question responses and summaries. Changelog: draft and publish release notes for what you ship. Users: manage end users and segments! Find out more at https://sleekplan.com/mcp/

Buzzsearch mcp is the social intelligence crawler that gives your agent access to user comments on TikToke, YouTube, Reddit, and Facebook. Know exactly what words your customers are saying and what they are complaining about.

Real problems people complain about online, scored 0-100, to find and validate startup ideas.

Triage app feedback and store reviews, draft replies and release notes, tell reporters what shipped.

Privacy-first product analytics. Your agent sets up tracking and answers questions about traffic.

Explore your user test data, summarize feedback, and uncover actionable insights faster. Ask questions about tests, participants, tasks, and findings in plain language.

Read and edit octopus.do visual sitemaps: pages, blocks and review notes, as the signed-in user.