"Product Hunt" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
- data_previewB
Product Hunt Launches — new & upcoming products (producthuntwatch)
- data_session_funding_packageA
Product Hunt Launches — new & upcoming products (producthuntwatch)
- data_session_fundA
Product Hunt Launches — new & upcoming products (producthuntwatch)
- data_session_queryA
Product Hunt Launches — new & upcoming products (producthuntwatch)
- register
Product Hunt Launches — new & upcoming products (producthuntwatch)
- data_session_openA
Product Hunt Launches — new & upcoming products (producthuntwatch)
Task tracker for product teams: projects, features, tasks, bugs, team chats and code context.
Uxia brings AI user testing, usability testing and UX research into ChatGPT. It helps product managers, UX designers, researchers and developers evaluate websites, interactive prototypes and digital product experiences using AI-simulated users. Explore potential usability problems, investigate friction in user journeys and use findings to guide product and design improvements.
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.
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
raumnebenan.de is a resource hub focused on actionable product thinking for product owners, product designers, business analysts, product managers, agile coaches, and user researchers. The site provides clear, structured guides and tools to help teams understand users, identify opportunities, validate ideas, and deliver products that create real user and business value.
Product context for AI agents: evidence, opportunities, initiatives, and decisions.
cotal.ai actions: product overview, site search, build log, feedback, Cloud waitlist, updates, calls
Read coExploro product teardowns: overall, UX and persona scores and top findings.
See how competitors position a product before you write ads.
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.
Annotated-screenshot reviews and ready-made product studies your AI agent can read, run, and share.
A directory of product launch platforms: where your product qualifies and how each form is filled.
Real-time product data, semantic search and more from dm-drogerie markt, Europe's leading drugstore.
Generate MantleKit setup plans and launch-ready SaaS blueprints from a product idea.
Search builder roles - jobs where one person owns engineering, product, and QA end-to-end.
Obsolescence-risk screening: predicts if a product gets absorbed into core LLM-platform features.
Build product adoption your way - Product adoption infrastructure no-code or all-code.
AI-powered Microsoft Dynamics 365 partner discovery and evaluation. Search partners by product, location, industry, and review scores. Get detailed partner profiles and personalized shortlist recommendations based on your project requirements (company size, budget, complexity, region). Tools: search_partners, get_partner_details, recommend_shortlist.
Analyze product reviews: pain points, feature requests, sentiment and competitive gaps for sellers.
