"Creating an MCP Server" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
AI job search and tracker: jobs near you and remote, pay vs market, ghost-job risk, resume checker.
Read-only access to saved employee handbooks from AI assistants. List authorized handbooks, browse their contents, search policies, and read source pages with citation links. Uses scoped bearer API tokens and Streamable HTTP. Requires an eligible HandbookHub account. Documentation: https://handbookhub.com/mcp
Your user feedback in your agent: read the inbox, build forms, file issues, open an AI PR. Connect at https://usero.io/mcp/oauth and sign in in your browser, no API key needed. Prefer an API key? Use https://usero.io/mcp with Authorization: Bearer usk_live_... from https://usero.io/profile.
Build surveys, read responses and make reports in SurveyNinja from an AI assistant.
See how competitors position a product before you write ads.
Minds is a synthetic market research platform. This MCP server lets ChatGPT, Claude, and Cursor build Audiences from a brief, run durable Studies and Question Blocks, compare segments, and export results. OAuth 2.1 or Minds API key.
An independent second opinion for your agent: decision engines that test an AI business case, venture or forecast against the evidence and return what is proven, what is assumed, and a fund / pilot / stop or proceed / rework / stop decision. Fixed, published rules give repeatable results. Free: Startup Soundcheck, Business Soundcheck and evaluate_fit. Paid engines use an API key; agents can create a purchase link and the owner always approves payment.
Product context for AI agents: evidence, opportunities, initiatives, and decisions.
Rule-based product method: scores an idea, finds its riskiest assumption, sequences the build.
A 361-step SaaS launch plan and 958 backlink sources as tools an agent reads, acts on and records.
An MCP endpoint for connecting with Fikra API
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
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.
Validate startup ideas with real people asking for them, each quote linked to its source.
Run live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the results. Uses an organization API token.
Understand how AI platforms represent their brand, identify visibility gaps and growth opportunities.
cotal.ai actions: product overview, site search, build log, feedback, Cloud waitlist, updates, calls
Estimate development costs and hours, scope an MVP, and write a PRD with user stories and specs.
Exact A/B test sample size, duration, z-test, chi-square, Fisher-Freeman-Halton and peeking risk.
AI agents use your app like your users, in real browsers, and report what is broken or confusing.
Brand reviews from a public website and an optional product document.
Learn how AI products work: lessons, model cost comparisons, real experiments, PM guides.
Pressure-test a startup idea in a live voice interview with an AI mentor; get a GO/NO-GO verdict.
Anonymous feedback from real people by voice or text, with an AI report. Flat price per campaign.
Venture Insights' free Concept Diagnostic, requested by an AI assistant for a founder.
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
Build surveys, read answers and make reports in WebAsk from an AI assistant.
MCP server for product teams wanting alignment on strategy and decisions. Connects Claude to your Ambix workspace — initiatives, objectives, journey stages, and strategic direction — so you can reason over your full product context directly in conversation.
Analyze product reviews: pain points, feature requests, sentiment and competitive gaps for sellers.
Product idea scoring, niche validation framework and seasonal timing for cross-border sellers
