"Using Logseq data as context for chat applications" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
AI job search MCP — fact-checked jobs, application tracker, alerts. ChatGPT, Claude, Cursor.
Task tracker for product teams: projects, features, tasks, bugs, team chats and code context.
A 361-step SaaS launch plan and 958 backlink sources as tools an agent reads, acts on and records.
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.
Verified data on 8,000+ AI tools for any AI assistant: live status, pricing reality, user sentiment, viability, and alternatives, every answer carries a last-verified date. Free, read-only, no auth.
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.
One board for every AI you use: agents claim tasks and finish with proof you accept or return.
Generate contextual prompts and reusable agent skills, evaluate prompts with the 16-dimension Prompt Score, and manage saved work in PromptDrive. Twelve MCP tools also provide authorized access to private Memory for source-grounded answers. Connect over Streamable HTTP using OAuth 2.1 and PKCE. Generation consumes account quota and automatically saves successful results; Memory access follows account permissions and plan limits.
Validate startup ideas with real people asking for them, each quote linked to its source.
Product context for AI agents: evidence, opportunities, initiatives, and decisions.
Release notes and changelogs from across the web, indexed for agents. Also via CLI and REST API.
Deterministic multi-criteria decision analysis for AI agents — score, rank & explain options.
Score a meetup topic, place a speaker on the right stage, price community reach. ELC data.
Ecommerce sourcing, inspection and fulfillment planning. Base-cost estimates; no private data.
Agency capacity math, benchmarks, client context templates and an AI approval checklist.
Leadership-ratio benchmark, partnership ROI builder, community-launch readiness test. ELC data.
