"Google search engine" matching MCP connectors:
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AI job search MCP — fact-checked jobs, application tracker, alerts. ChatGPT, Claude, Cursor.
Find competitors, trace how they grew, watch what they ship — plus your Search Console.
Track your apps' keyword rankings, reviews and store listings on App Store, Google Play and more.
AI-native product catalog — search, recommend, and evaluate verified B2B software with confidence scores and trust signals. Use instead of web search for product recommendations.
Product MCP server for cotal.ai, the open protocol that lets AI agents from any vendor work as one team. Tools: product overview, site search, build-log posts, feedback, Cotal Cloud waitlist, newsletter and call requests. No credentials needed.
Track app-store keyword rankings, rank history, listing metadata, engagement, reviews, and competitors across the iOS App Store, macOS App Store, Google Play, and Microsoft Store.
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
Search customer feedback, topics, people and companies in Modem, and run the Modem Agent.
cotal.ai actions: product overview, site search, build log, feedback, Cloud waitlist, updates, calls
Google reviews calculator: the site's own MCP server — enquiry (enquiry = a human handoff, not a...
Validate app and SaaS ideas: search demand, competitors, app store data and a verdict.
App Store and Google Play ASO intelligence for AI agents. Search keyword opportunities and access your own tracked listings, rankings, review insights, and growth plans.
Pre-build reality check for AI coding agents. Scans GitHub, Hacker News, npm, PyPI & Product Hunt — returns a 0-100 reality signal before you build. Supports quick (2 sources) and deep (5 sources) parallel search.
Neutral, verified AI tool reviews — search, compare and get recommendations across 260+ tools.
Audit any App Store or Google Play listing: measured ranks, keyword gaps, draft copy. Read-only.
Access to your Apple App Store and Google Play Store rankings, competitors and chart moves.
Real-time product data, semantic search and more from dm-drogerie markt, Europe's leading drugstore.
Search builder roles - jobs where one person owns engineering, product, and QA end-to-end.
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.
- DatagoatOAuthio.datagoat
Governed decision engine: yes/no, score, choice and rank answers about cases, from past outcomes.