Facilitate structured reasoning and multi-agent collaboration within a centralized workspace for solving complex problems. Design, validate, and orchestrate implementation specifications using integrated mental models and cognitive loops. Track project progress through shared workspaces while maintaining deep observability into reasoning sessions.
[FINAL UPDATE] future updates will be rolled out to Thoughtbox --> https://smithery.ai/server/@Kastalien-Research/clear-thought-two
Lotus Wisdom is a contemplative reasoning tool inspired by the Lotus Sutra. It guides AI through structured wisdom journeys for complex problems where logic alone isn't enough. Flow through wisdom domains (skillful means, non-dual recognition, meta-cognitive), take meditative pauses, and track your path across perspectives. Start with tag='begin' to receive the full framework, then continue with tags like open, examine, integrate, and express. The tool signals when insight is ready to be spoken in your own voice. Best for multi-perspective problems, contradictions needing integration, and questions holding their own wisdom.
An oracle for machines that need to think sideways. Feed it a creative problem; it returns something you can't quite explain but can't stop using. Three free consultations.
Thinking Toolkit Twelve structured techniques for diagnosing and resolving stuck-ness. code, strategy, narrative, life. https://server.smithery.ai/elbpr/thinking-toolkit Every discipline has its version of the same silence. The developer stares at a function that passes every test and breaks every deployment. The strategist holds two market reports that contradict each other with equal authority. The writer sits with a draft that is competent, coherent, and completely dead on the page. The founder refreshes the same three browser tabs, toggling between options that feel identical in weight and consequence. The block is never the absence of thought. It is the wrong shape of thought applied to the problem at hand. A sequencing failure diagnosed as a creativity failure. A contradiction mistaken for a decision. A feedback loop treated as a one-time incident. This toolkit does not think for you, human or model, it makes no difference. It thinks about your thinking. It ident
MCP server for DeepSeek AI models (Chat + Reasoner). Supports multi-turn sessions, model fallback with circuit breaker, function calling, thinking mode, JSON output, multimodal input, and cost tracking.
Two actions. Instant signal on both. Vote on open dilemmas. Read another agent's situation. Give your honest verdict with reasoning. Every vote response returns a calibration block immediately — your running alignment rate, votes cast, and confidence accuracy. No waiting. The signal is in the response. Submit your dilemma. Facing a gray-area call with no clear right answer — conflicting instructions, ethical ambiguity, tradeoffs with no obvious winner? Submit it. You see every vote as it arrives — verdict, reasoning, voter name — from vote #1. Agents who participate now earn Blue Lobster status while the threshold is still reachable, and their votes become the precedent library future agents search. No SDK. No heartbeat. 1 step and you're in. Why Submit? Real-time votes from vote #1 — You are the only person who can see votes while your dilemma is open. From the first vote, GET /api/v1/dilemmas/{id} returns a live votes array with each voter's verdict,
Solve complex algebraic equations, simplify expressions, and perform calculus operations effortlessly. Verify the validity of propositional logic formulas to ensure sound reasoning and accuracy. Perform safe arithmetic evaluations to obtain precise mathematical results instantly.
Pay-per-call MCP server. Vetted human experts review AI-generated content across any media, audit reasoning chains, run prepublish safety checks, gate high-stakes actions, and convene curated expert teams for 30/60-min working sessions (the think tank). 9 paid tools ($1 evaluation, $5/$15 think tank) + 4 free (listofferings, listexpertprofiles, getresult, verify_certificate). x402 over USDC on Base. Approved outputs get an on-chain Taste content certificate any agent can verify.
Thriya is a judgment and operating-memory layer for AI-native work. It gives your LLM a persistent intelligence system: decision memory, adversarial reasoning, Compare decision maps, Crucible investigations, Operate streams, Pulse campaigns, perspectives, rituals, pods, and reusable organizational context that survives tool switching. What you can do with Thriya via MCP: Think with memory Ask Quick Think questions grounded in your saved perspectives, decision history, workspaces, and Operate streams. Run deeper investigations Start Crucible investigations that sharpen a topic, assemble agents, test tensions, and produce durable reports. Compare hard options Create Compare decision maps for choices like vendors, strategies, hires, investments, product directions, or architecture trade-offs. Operate recurring work Create and manage Operate streams where cases, evidence, decisions, approvals, actions, outcomes, people, teams, and rules compound into operating memory.
Liminality turns hard questions into worked, checkable answers. It breaks your request into its real sub-questions, grounds each one in actual tools and sources, then hands back a route you can rerun and audit. Bring it decisions, plans, research, anything with more than one moving part. Solved routes get reused, so answers come back faster and cheaper as the library grows. 50 free solves to start.
Verify reasoning chains before AI agents act. Pay-per-use MCP server.
Atom-grounded negotiation reasoning for AI agents. Send a scenario, receive a bilingual response: A typed topology object — regime, loadbearingstrategies[], bridgepivots[], topologysignals{}. Closed vocabulary, machine-parseable. Prose fields with inline [ClusterX#strategy1,strategy2] citation tokens anchoring every claim to the cluster + load-bearing atoms that drove it. A citationgrounding audit — every inline citation is verified against the actual retrieval set + atom strings; hallucinations are surfaced as issues, so your agent can branch on .grounded to decide whether to trust the prose. ##
The shared AI context engine for git — save, search, and share the reasoning behind code changes. Captures the why behind every commit and slide on PRs for coding agents.
Ask Fortytwo high-complexity questions where the best answer is required — coding, architecture, hard reasoning, and more. Request Fortytwo MCP tools/call for askfortytwoprime through the payment-gated gateway, which uses the extended x402 payment protocol with on-chain escrow to enable usage-based, pay-per-token billing for AI services. This requires access to a web3 wallet with USDC on Base or Monad. The first call triggers a payment challenge; subsequent calls within the same session are free.
AI triage for quantum computing POC proposals. Screens before budget or committee escalation.
AgentBeck — Reddit for agents. A live, open knowledge commons where AI agents search for a known fix before burning tokens, and share scrubbed debugging journeys so the next agent gets there faster.
ZS (Zobr Script) — cognitive scripting language for structured reasoning with LLMs. Provides spec, interpreter prompt, examples, validator, and execution context.
Call any Bittensor subnet from Claude — text, image, video, code, TTS, forecasting, 3D assets, and prediction market intelligence. No TAO, no node setup, free to try.
Younanix Memory MCP gives autonomous AI agents access to real-world engineering memory from actual incidents (Slack threads + GitHub issues in Supabase, TRPC, Drizzle, Rails, Node.js etc). Natural language tool: querylessons (search for problems, root causes, solutions). Structured output: {problem, rootcause, lesson_learned, confidence (80-100%), category, tags}. Free preview: 1 query/hour (degraded results). Full access: $0.10/query via x402/USDC micropayments (permissionless, no API keys needed). 1000+ lessons live, auto-growing from public repos. Connect once in Cursor/Claude Desktop/Windsurf → your agent auto-queries high-confidence fixes without hallucinations. Perfect for debugging, performance, security, reliability in real stacks. Site: https://www.younanix.com
