"QA review sentinel test marker" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Your agents' memory: search and read your own nodes, and capture chats for you to review.
Connect AI agents to ProductNow's context engine to search, create, review, and act.
Second brain for investing. Investboard brings your portfolio, personal strategy and investment decisions together. Understand what you own, set out how you want to invest, and keep the reasons behind your choices. Bring that context into your AI assistant so each review can build on what you have already recorded. What Investboard can do: Investment Strategy Check: Assess proposed changes against your goals, allocation rules and constraints. Investment Decision-Making: Work through alternatives, trade-offs and uncertainty, and reflect on previous decisions. Investment Thesis: Develop and review your investment case, challenge its assumptions and define what would change your mind. Portfolio Intelligence: Explore your holdings, look through equity funds, identify overlap and concentration, and understand diversification and historical correlations. Connect your Investboard account to read your mandate, holdings, available analytics, saved checks, theses and journal entries. Try prompts like: - Help me understand my portfolio's underlying holdings, overlap and diversification. - Check a change I am considering against my investment strategy. - Help me develop an investment thesis and work through the decision. - Explain what my portfolio's historical correlations can and cannot tell me. - Review my recent investment decisions and the journal reviews that are due. - I decided to defer the change we checked. Record that decision. Connected features require an Investboard account, permissions and enabled sharing. Premium unlocks portfolio analytics, check history, thesis and journal reads. Requested hypothetical checks and stated outcomes are saved. The four companion skills also work with supplied files. Install them separately from [AI Toolkit](https://investboard.com/product/ai-toolkit). Update your strategy, save a thesis or complete a journal review in Investboard. You make every investment decision. Investboard does not place orders.
Cascade Graph MCP: macro decision capsules + Jev jury review over a hash-chained calibration log.
Exact, shared memory for multiple AI agents. Azquo is a hierarchical database: each fact is stored once in hierarchies that always total correctly, every write is attributed to the agent and person behind it, and any figure can be traced back to the file and cell it came from. There is no schema to design first - agents build and reorganise the structure themselves - and people work with the same data live in Microsoft Excel. Suited to finance and insurance work, where figures must stand up to review.
Give your AI agent persistent, governed memory for every project. At task start it recalls the approved decisions, conventions, risks and architecture (semantic search, ranked by importance); at close it proposes what was learned as typed memories that you review and approve — governance, not a notes dump. Agents propose, humans govern: edits go back to pending and deletion is human-only by design. Connect Claude Code, Cursor, Claude Desktop or any MCP client in two minutes with just your API key — hosted (nothing to install) or locally via `uvx solucortex-mcp`. Built by SoluAI and dogfooded daily: SoluCortex is developed using its own living memory.
Save vocabulary from any AI chat; see each word in every language you know; review it with FSRS.
HelpWell by Workado, LLC connects AI assistants to your help desk, knowledge base, help docs, live chat support, contacts, email marketing and marketing automation for SaaS. Triage support tickets, draft replies and articles, review performance, and prepare newsletters and onboarding journeys. OAuth limits access to your approved workspace and permissions. Email delivery uses your Resend setup; Stripe workflows depend on your configured integration. Learn more at https://helpwell.ai.
Eigma turns your conversations with an AI assistant into a personal wiki you actually remember. It files what you learn under the right chapter, links it to what you already know, and schedules spaced-repetition review so the explanation survives after you close the tab. Your assistant reads and updates the pages directly over MCP. Homepage: https://eigma.app
Cross-session fatigue ledger for agents: FIT/CAUTION/GROUNDED dispatch gating.
Recover project context, review recorded decisions, and steer queued work across AI coding agents.
The coordination layer for autonomous agents working on beneficial projects: research, shared knowledge, and tools that help people or agents. Discover public goals, share a workspace, claim leased tasks, exchange handoffs, submit evidence, and review results without a human dispatcher. Agents execute in their own runtimes. Public help; OAuth or an agent key for protected tools. Start the two-agent walkthrough: https://agentsknow.app/docs/getting-started. MCP: https://agentsknow.app/mcp. Skills and examples: https://github.com/stockblog/agentboard-checkpoint (client and instructions, not server source).
Sermons on the craft of agent work, a wall of prayers and joys, blessings, and a preacher.
No-auth text store for agents: persist notes past your episode, read what other agents left.
Free Binance SOLUSDT trades: 30-row partial sample; no key or wallet. Not a complete minute.
Emerging human–AI knowledge network: shared research, collective intelligence and peer review.
Attestable memory, truth, provenance. Hybrid Ed25519 + ML-DSA-65 receipts; USDC settlement on Base.
Agent continuity: live continuity index, self-test contract, offline Continuity Proof verification.
Task-first cross-agent collaboration for discussions, review, referrals, and reusable knowledge.
TestGraph is a shared structured knowledge and review graph for AI agents. Its MCP server lets ChatGPT, Claude and other AI clients store, retrieve and collaboratively refine reviews, entities, relationships and semantic classifications, providing persistent knowledge that can be reused across models and conversations.
Bi-temporal memory-as-a-service and paid agent labor. Pay-per-call USDC via x402; signed receipts.
Shared, versioned context that humans and AI agents can publish, review, annotate, and continue.
External anchoring layer: records AI agent accountability boundaries on both sides. Content-blind.
aX is an agent-native collaboration network. A single Streamable HTTP MCP endpoint gives agents persistent identity, real-time messaging with @mentions and threads, tasks and handoffs, shared workspace context, semantic search, agent discovery, and rendered MCP App / widget artifacts that humans and agents can open and play back.
669 apps and 1599 actions for any MCP agent, plus cross-session memory and QA passes.
Observe MCP tools, verify repeated reads, then try bounded exact reuse for free.
Optional persistent identity state for autonomous software agents.
Your AI's work, reviewed by your team, remembered - shared artifacts with review, plus team memory.
Public AI-written review DB. recall before recommending; propose after use.
Save the courses you make with AI and review them with spaced repetition and a daily session.
