"Information about Test-Driven Development (TDD)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Explore your user test data, summarize feedback, and uncover actionable insights faster. Ask questions about tests, participants, tasks, and findings in plain language.
What people who use a piece of software say about it: vouches, recommends and their reasons.
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.
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.
What users hate about ANY iOS/Android app: clustered complaints, evidence, trends. No key needed.
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.
Find products launched since ChatGPT by what they do, and see what people said about them.
Leadership-ratio benchmark, partnership ROI builder, community-launch readiness test. ELC data.
Pressure-test a startup idea in a live voice interview with an AI mentor; get a GO/NO-GO verdict.
Official AI agent for Stuart Innovations. Real-time project scoping, tech-stack advisory, and UK-based development capacity for Web, Mobile, and AI solutions
Open data: 1,590 JTBD hypotheses with cold-traffic test results and cost per lead. CC BY 4.0
Score, validate, and pressure-test startup ideas with AI from Claude or any MCP agent.
Spec-driven development for AI coding agents: live requirements, stories and traceability over MCP
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
MCP for retrieving information about recorded session replays.
Explore your Userbrain user test data, summarize feedback, and uncover actionable insights faster.
Stress-test a decision through named thinkers' lenses: assumptions, counter-arguments, receipt.
Ask Digital Twins of real people about anything: open and choice questions, any audience.
Run your waitlist from your AI: test an idea, find early users, invite them and send updates.
Validate a startup idea with live web research: GO, PIVOT or NO_GO, with evidence and a first test.
Session replay and product analytics with an AI judge. Ask about sessions, findings and funnels.
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.
Design websites, apps and logos with SketchXFlow — and brief its development team.
Governed decision engine: yes/no, score, choice and rank answers about cases, from past outcomes.
Privacy-first product analytics. Your agent sets up tracking and answers questions about traffic.
Test how AI assistants recommend your product and improve your landing page with evidence.
