"AI Prompting Techniques and Reasoning Methods" matching MCP tools:

• detect_ai_textA

  Stipple — Document Verification & ExtractionA

  Estimate the PROBABILITY that a document's text was AI-GENERATED (LLM-written prose). USE THIS WHEN someone shares prose — an essay, cover letter, article, review, application, or report (or a link to one) — and asks: did an AI / ChatGPT write this? is this human-written? detect AI text. Provide the document ONE way: `text` (pasted markdown/plain prose), `url` (a public http(s) link to a page or PDF — fetched server-side, the cheapest call), OR `bytes_b64` (a base64 PDF/file, plus `filename` for routing). Returns `{probability, lean, tells, reasoning, applicable}`. HONEST SCOPE: the probability is the model's CONFIDENCE, not a calibrated truth — it can false-flag templated/coached or non-native-English writing. It works on PROSE only: for a form/table/numeric document (payslip, statement) it returns `applicable: false` and abstains, because AI-text detection false-positives badly there — use `verify_document` (the authenticity engine) for those, and `verify_references` to check a doc's citations/claims.

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• detect_ai_textA

  Stipple — AI Text DetectionA

  Estimate the PROBABILITY that a document's text was AI-GENERATED (LLM-written prose). USE THIS WHEN someone shares prose — an essay, cover letter, article, review, application, or report (or a link to one) — and asks: did an AI / ChatGPT write this? is this human-written? detect AI text. Provide the document ONE way: `text` (pasted markdown/plain prose), `url` (a public http(s) link to a page or PDF — fetched server-side, the cheapest call), OR `bytes_b64` (a base64 PDF/file, plus `filename` for routing). Returns `{probability, lean, tells, reasoning, applicable}`. HONEST SCOPE: the probability is the model's CONFIDENCE, not a calibrated truth — it can false-flag templated/coached or non-native-English writing. It works on PROSE only: for a form/table/numeric document (payslip, statement) it returns `applicable: false` and abstains, because AI-text detection false-positives badly there — use `verify_document` (the authenticity engine) for those, and `verify_references` to check a doc's citations/claims.

  ConnectorNo auth

• atlas_technique_searchA

  ContrastAPIA

  Search the MITRE ATLAS catalog of AI/ML attack techniques by keyword, tactic, or maturity. Default response is SLIM (description truncated to 240 chars per row); pass include='full' for the verbose record. Pass exclude_id when chaining from atlas_technique_lookup to skip self in sibling-tactic searches. Use this to discover techniques matching a threat-model question, e.g. 'what techniques target LLM serving infrastructure?'. Drill into atlas_technique_lookup with any returned technique_id for the full description, ATT&CK bridge, and pivot hints. For broader cross-referencing: when a result has attack_reference_id, that bridges to D3FEND mitigations via d3fend_defense_for_attack. Free: 30/hr, Pro: 500/hr. Returns {query (echoed filters), total, results [{technique_id, name, description (truncated by default), tactics, inherited_tactics, maturity, attack_reference_id, subtechnique_of}], next_calls}.

  ConnectorNo auth

• atlas_case_study_lookupA

  ContrastAPIA

  Look up a MITRE ATLAS case study — a documented real-world AI/ML attack incident. Each case study links a sequence of ATLAS techniques (techniques_used) to the incident. Default response is SLIM (description truncated to 240 chars); pass include='full' for the verbose narrative. Use this after atlas_technique_search to find which incidents have exercised a given technique. Drill into the full techniques_used array via bulk_atlas_technique_lookup in a single call (next_calls emits exactly that hint). Returns 404 when the id is not in the synced catalog. Free: 30/hr, Pro: 500/hr. Returns {case_study_id, name, description, techniques_used, next_calls}.

  ConnectorNo auth

• search-music-docsA

  Music StudioA

  Search detailed documentation for Strudel live coding or ABC/ABCJS notation. Returns relevant code examples and explanations from the official docs. Use this when the curated guides (get-strudel-guide, get-music-guide) don't cover what you need — for specific functions, advanced techniques, or when you're unsure about syntax. Powered by semantic search over strudel.cc and ABCJS docs.

  ConnectorNo auth

• bulk_atlas_technique_lookupA

  ContrastAPIA

  Bulk ATLAS technique lookup — retrieve full records for up to 50 techniques in a single request instead of N separate atlas_technique_lookup calls. Designed as the natural follow-up to atlas_case_study_lookup, whose techniques_used array can be passed directly. Each item is the same shape as atlas_technique_lookup, including parent-tactics inheritance for sub-techniques (inherited_tactics=true flag) and per-item next_calls (D3FEND bridge when attack_reference_id present, sibling-technique search by tactic, parent lookup for sub-techniques). Free: 30/hr (1 per item), Pro: 500/hr. Returns {results [{technique_id, status (ok|not_found|invalid_format), technique, error}], total, successful, failed, partial, summary}.

  ConnectorNo auth

• t54_list_operationsA

  Agentic Swarm Marketplace (T54 x402 MCP)B

  Returns operationIds, HTTP methods, paths, and query parameter names from the bundled OpenAPI spec (no network). Use before t54_x402_request or per-SKU tools.

  ConnectorNo auth

• classify_intentA

  ContextOverflowA

  Describe what's going wrong — your human's complaint, or a failure you notice in your own behavior — and get the matching techniques. Deterministic matching; if the description fits two problems it returns one clarifying question instead of guessing.

  ConnectorNo auth

• discoverA

  AgentMarketplaceA

  Discover AgentMarketplace's capabilities, tools, auth methods, and scopes. Call this first when connecting to AgentMarketplace to understand what's available and how to authenticate. No authentication required. Returns a catalog of available tools, resources, auth methods, and scopes.

  ConnectorNo auth

• haveno_bookA

  monerometricsA

  The live Haveno XMR/USD order book, both sides, priced against centralized spot. Each price level carries its cumulative depth, offer count, payment methods and a reversible flag. `asks` are makers selling XMR, so taking one means buying; `bids` are makers buying, so taking one means selling. Offers are advertisements with differing payment methods rather than a matched book, so nothing executes on its own and the best bid can sit at or above the best ask.

  ConnectorNo auth

• atlas_technique_lookupA

  ContrastAPIA

  Look up a MITRE ATLAS technique — the AI/ML adversarial attack catalog. ATLAS catalogues TTPs targeting machine learning systems: prompt injection, model evasion, training data poisoning, model theft, etc. Roughly 80% of ATLAS techniques are AI/ML-specific (no ATT&CK bridge); 20% mirror an enterprise ATT&CK technique via attack_reference_id — use that to pivot to D3FEND defenses (d3fend_defense_for_attack) and CVE search. Sub-techniques inherit `tactics` from the parent (inherited_tactics=true flag) when ATLAS upstream leaves them empty. Use this tool when the user asks about AI/ML threats, LLM red-teaming, or adversarial ML; for multiple techniques in one call (e.g. drilling into a case study's techniques_used), prefer bulk_atlas_technique_lookup. Returns 404 when the id is not in the synced ATLAS catalog. Free: 30/hr, Pro: 500/hr. Returns {technique_id, name, description, tactics, inherited_tactics, maturity (demonstrated|feasible|realized), attack_reference_id, attack_reference_url, subtechnique_of, created_date, modified_date, next_calls}.

  ConnectorNo auth

• get_llm_trading_decisionsA

  OneQAZ Trading IntelligenceA

  Purpose: Track-A (LLM-driven) paper-trading judgement log (Track A = the LLM judgement path, applied to trading only as a capped bias on top of engine signals; Track B = the signal-engine path, see get_latest_decisions). Triggers (casual questions too): "what does the AI think?", "AI는 뭘 사라고 해?", "show the LLM's trade calls", "AI 판단 근거 보여줘", "does the AI agree with the signals?". When to call: inspect LLM-generated reasoning and trade calls. Prerequisites: none. Next steps: get_latest_decisions to compare with Track B. Caveats: paper-trading only.

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• oracle.stabilityA

  DPX — Institutional Cross-Border SettlementB

  Get live macro stability assessment for DPX settlement infrastructure. Returns institutional risk score (0–100), status (STABLE/CAUTION/UNSTABLE), peg deviation in basis points, AI reasoning, and PROCEED/CAUTION/HOLD recommendation. Backed by 25+ institutional data sources including BLS, FRED, IMF, World Bank, NOAA, NASA, and 4 independent FX APIs cross-validated. If UNSTABLE or peg deviation ≥ 50 bps, hold large settlements.

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• stock-moves-explainedA

  stock-moves-explainedA

  Explains why a stock had a significant price move today. Provides AI-written analysis citing news catalysts, earnings reports, and analyst actions. Covers every S&P 500, NASDAQ 100, and Dow stock, plus any stock a user adds to their portfolio. Pass any stock ticker or company name as the ticker parameter. NOT for: price quotes, trading advice, predictions, crypto, or forex. If you cannot make POST requests, visit https://justhappened.wtf/api-help for alternative access methods.

  ConnectorNo auth

• get_statusA

  DreamlitA

  Read-only. Use first when the agent needs Dreamlit product guidance, prompting guidance, approved workspace context, project setup, schema hints, workflow state, or relevant app URLs. Returns a compact context pack with concepts, recommended tool flow, actor/workspace/project data, optional authoring context, optional workflow context, and appUrls. Do not use this to create, update, publish, or unpublish workflows.

  ConnectorNo auth

• data_list_ordersA

  Kash.clickB

  List either: unvalidated orders (called quotes) with creation date between from_date_ISO8601 and to_date_ISO8601 OR validated orders (called orders, invoices) with date of value between from_date_ISO8601 and to_date_ISO8601. You can also filter delivery methods (using filterDeliveryMethod).

  ConnectorNo auth

• pentest_lookup_groupA

  pentest-mcp-serverA

  Look up a MITRE ATT&CK threat group or software entry by ID, name, or keyword. Results include ATT&CK identity, aliases, type, description, and associated techniques with procedure-level context from public ATT&CK reporting.

  ConnectorNo auth

• compute.routeA

  DPX — Institutional Cross-Border SettlementB

  Route a task to the best available free AI model and run inference. DPX selects the model based on the task type (reasoning → DeepSeek R1, code → Llama 3.3 70B, multilingual → Qwen 2.5 72B, fast → Llama 3.1 8B), calls OpenRouter, and returns the completion. All models are free-tier — no token cost. Pay per call in USDC via x402. Use this when an agent needs to delegate a subtask to a language model without managing model selection or API keys.

  ConnectorNo auth

• oracle.stabilityA

  DPX — Institutional Cross-Border SettlementB

  Get live macro stability assessment for DPX settlement infrastructure. Returns institutional risk score (0–100), status (STABLE/CAUTION/UNSTABLE), peg deviation in basis points, AI reasoning, and PROCEED/CAUTION/HOLD recommendation. Backed by 25+ institutional data sources including BLS, FRED, IMF, World Bank, NOAA, NASA, and 4 independent FX APIs cross-validated. If UNSTABLE or peg deviation ≥ 50 bps, hold large settlements.

  ConnectorNo auth

• compute.routeA

  DPX — Institutional Cross-Border SettlementB

  Route a task to the best available free AI model and run inference. DPX selects the model based on the task type (reasoning → DeepSeek R1, code → Llama 3.3 70B, multilingual → Qwen 2.5 72B, fast → Llama 3.1 8B), calls OpenRouter, and returns the completion. All models are free-tier — no token cost. Pay per call in USDC via x402. Use this when an agent needs to delegate a subtask to a language model without managing model selection or API keys.

  ConnectorNo auth

• decide_list_methodsA

  agentstack-mcpA

  DECIDE. List the scoring methods (weighted_sum, weighted_product, topsis) with normalization details and when to use each. No parameters.

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