"Deep Think: Exploring Deep Thinking Concepts" matching MCP tools:

• searchA

  UseMyContext.aiA

  Search the user's files by filename and return matching documents in the deep-research result shape. ALIAS: this is the SAME search as search_files (same data, same permissions) - use it when your client requires the id/title/url search contract (ChatGPT deep research); otherwise prefer search_files for richer file metadata. Each result's id can be passed to fetch (or get_file) to read that document. Read-only; nothing is written, so it is safe to call.

  ConnectorNo auth

• verify_businessA

  BizVerifyA

  Confirm a specific, named business in one jurisdiction — the PRIMARY tool whenever the user wants to verify, check, confirm, or look up a company's existence, status, good standing, or details (e.g. "verify Acme LLC in Delaware", "is Acme registered in FL?", "I need to verify a company in Delaware"). If the user has verification intent but has not given the exact company name, ASK them for the name and use THIS tool — do NOT fall back to search_entities. Two tiers: quick (1 credit) returns existence + status + good-standing. Deep (15 credits, or 25 with force_refresh) adds entity type, formation date, registered agent, officers, principal address, and filing history. Deep is available in a subset of jurisdictions; requesting deep where unavailable returns a quick result with a reason. Requires authentication. A completed verification deducts credits whether or not the business is found — a confirmed no-match is a result. Calls that cannot produce an answer (source unavailable or timed out) are refunded.

  ConnectorNo auth

• call_creative_worldsA

  HeistaA

  Heista's creative direction engine — same engine the Creative Director specialist runs internally, exposed over MCP. ONE-SHOT: give a brief, get N finished creative outputs. For back-and-forth refinement, or output shapes the `medium` enum below does not cover, use chat_with_creative_worlds instead. OUTPUT SHAPE switches on the `medium` arg: • omitted → N territory cards (default exploration). Each card sits on different psychology / craft / feel / world axis coordinates so the set spans the creative space rather than orbiting one insight. Card has: name, campaign line, 5-8 sentence pitch, one-sentence strategic bet, resolved axis state names, creative-director rationale. • `tvc` → N TVC scripts (15-90s — hook, arc, resolve, sound design, end line). • `billboard` / `ooh` / `print` → N out-of-home concepts (visual concept + line + placement rationale). • `social` → N social-video concepts (hook + format type + middle beat + payoff, optimised for Reels / TikTok / Shorts). • `activation` / `experiential` → N activation concepts (space design + user journey + peak moment + takeaway artifact). • `audio` → N sonic / radio concepts (sonic scene + voice + audio arc). • `campaign` → N full campaign platforms (insight → big idea → strategy → visual world → production roadmap). The engine can also produce manifesto / copy, naming, packaging, PR stunts, content series, brand positioning, partnerships — these output shapes are NOT in the medium enum, so use chat_with_creative_worlds when the user wants one of those. USE WHEN: user says "give me ideas / options / directions / territories", "what angles work for...", "show me three / five ways to...", "write a TVC for...", "draft billboard concepts for...", "I need fresh thinking on...". DO NOT USE to refine one existing direction (use chat tool), to critique work, for OKRs / internal docs / strategy decks, or anything outside advertising creative direction. INPUTS: brief (the creative problem, free text), count (2-6 concepts), optional brand_id (from list_brands or any create_powersource_* — when provided the engine grounds output in the brand's buyer tensions, voice, and selling points), optional medium (above), optional lens_hint (apply a playbook or signature move as a creative constraint), idempotency_key (safely retryable for 5 minutes). Returns the finished creative output as narrative text PLUS a structured array of resolved axis coordinates for programmatic use. Metered — typically 3-15 credits per call depending on count and brand context size. Charged after success on actual token usage.

  ConnectorNo auth

• searchA

  StatCite — Verified Economic StatisticsA

  Search official economic statistics by free text, e.g. 'inflation barbados' or 'government debt japan'. Returns result ids that can be passed to fetch. Designed for deep-research connectors; for richer control use get_indicator / get_series.

  ConnectorNo auth

• fetchA

  UseMyContext.aiA

  Fetch one document's full extracted text by id (a file id from search / search_files / list_files), in the deep-research result shape. ALIAS: this is the SAME read as get_file (same data, same permissions, same audit, same size guard - large files are truncated) - use it when your client requires the id/title/text/url fetch contract (ChatGPT deep research); otherwise prefer get_file, which also serves download links and inline images. Read-only; audited.

  ConnectorNo auth

• get_slide_deep_diveA

  flevyA

  Slide-by-slide preview of a Flevy document (a "doc-<n>" content_id). Returns every showcased slide with its name, a text description of what the slide contains (you cannot see the image, so use the description), a preview image URL, and a deep link to that slide on flevy.com. Use when a user wants to know what is inside a specific presentation before purchasing, or to reference an individual slide. Only some documents have deep dives; get_content_details reports the count.

  ConnectorNo auth

• info_marketsnapshot_batch_market_snapshotA

  Gate Info MCPA

  Batch quotes up to 20 symbols; partial misses OK. One symbol→get_market_snapshot. Deep trend→markettrend_get_kline. Breadth→get_market_overview. Read-only public research data. No account access, no order placement or fund transfers. Not investment advice.

  ConnectorNo auth

• scrape_wikipediaA

  GoCreative Agent APIB

  Scrape a full Wikipedia page (sections, infobox, references). Heavier than lookup/wikipedia. Use for deep research. Example call: {"page": "Anthropic"} Cost: $0.005–$0.05 USDC on Base per call.

  ConnectorNo auth

• autonomous_varrd_aiA

  VARRD — Statistically Validated Trading Edges + AI Research EngineA

  Point VARRD's autonomous AI in a direction and let it discover edges for you. Give it a topic and it draws from one of the most comprehensive market structure knowledge graphs ever built — containing ideologies and theories, not statistics — so it generates genuinely novel hypotheses rather than overfitting to what already worked. BEST FOR: Exploring a space broadly. Give it 'momentum on grains' and it might test wheat seasonal patterns, corn spread reversals, or soybean crush ratio momentum. It propagates from your seed idea into related concepts you might not think of. Returns a complete result — edge or no edge, stats, trade setup. Each call tests ONE hypothesis through the full pipeline (~$0.25/idea). Call again for another idea. Use 'varrd_ai' instead when YOU have a specific idea to test and want full control over each step.

  ConnectorNo auth

• generate_heart_routeA

  heart-routesA

  Start a new heart-shaped route for a given city. Returns existing AI-validated matches from inventory PLUS a deep-link to the live builder for an on-demand fresh generation with the user's exact dedication and cause. Use when the user explicitly wants a NEW heart, or when an existing match is "close enough but not personal yet". Optional dedication / cause_url pre-fill the builder fields, so the URL deep-link arrives configured.

  ConnectorNo auth

• proximens_geo_audit_urlA

  Proximens OracleA

  Pro-tier. Fetch and analyze a web page, then audit it against the Proximens GEO Engine principles across all major GEO dimensions (structured data, crawler access, content depth, freshness, E-E-A-T, multimodal). INPUT: url (required, http/https); optional mode ("fast" = quick signal checks, returns in seconds — the default; "deep" = a full AI-synthesized consultancy report in Dutch with a 7-dimension scorecard and sector benchmark, takes ~30-50s), client_name (report header), branche_hint ("main:sub", e.g. "health_wellness:yoga_studio"), max_issues (1-25, default 10). RETURNS: JSON with a 0-100 score, severity-ranked issues (critical/major/minor) each with a finding and an actionable suggestion, top recommendations, and a markdown report; deep mode additionally returns score_set (7 GEO dimensions), sector (benchmark cohort), and a full consultancy-grade report_markdown (deep_mode="timeout_fallback" means the synthesis exceeded its budget and the fast result was returned instead). USE fast mode for quick checks and bulk triage; USE deep mode when you need a client-ready audit report. Free tier is blocked.

  ConnectorNo auth

• searchA

  vicp-registryA

  Search VICP vaccine-injury cases by free text. Returns result ids for use with fetch. (Alias of search_cases for deep-research clients; prefer search_cases when structured filters are available.)

  ConnectorNo auth

• list_categoriesA

  ContextOverflowA

  The eight thinking-failure problems ContextOverflow covers, phrased the way a human experiences them. Start here to see what exists.

  ConnectorNo auth

• get_trident_specA

  tridentA

  Returns the complete Trident 2D specification including grammar, syntax rules, coordinate system, containers, nodes, connections, shapes, and icon reference. Use this when you need deep understanding of the Trident DSL.

  ConnectorNo auth

• check_agent_tool_readinessA

  Boundary Guard x402A

  GateCheck readiness: check whether an x402/agent-facing tool is ready for agent routing, marketplace listing, and paid-path monitoring, including public agent discovery surfaces (/llms.txt, /agents.txt, /.well-known/mcp.json, /mcp). Pass target plus optional tier, marketplace_url, expected_resources, and paid_path; deep/report tiers add unpaid 402 probing when paid_path is supplied. Tiers: quick $1, deep $5, report $10.

  ConnectorNo auth

• get_route_detailsA

  heart-routesA

  Get full details for a specific heart route by its slug. Use after find_heart_route_in_city when the user picks one. Returns: city, distance, image URL, share URL, dedication (if any), and the GPX download deep-link.

  ConnectorNo auth

• list_full_text_worksA

  QuotesA

  List works for which the full text (every scene, speech, and line) is loaded — beyond just the famous-quote excerpts. Use this to discover what is available for deep structural lookup via get_scene and get_act.

  ConnectorNo auth

• image_personalA

  Colour MemoryA

  Upload a portrait photo and receive a full personal colour analysis. Determines your seasonal type (Spring, Summer, Autumn, or Winter), colour depth (light, medium, or deep), and undertone (warm, cool, or neutral). Returns a curated palette of archive colours that genuinely suit you — each with full historical provenance and cultural context — plus colours to avoid. Uses Claude Vision for skin, hair, and eye analysis, then matches to the archive by CIEDE2000 perceptual distance. The photo is never stored. Example: a Deep Winter might wear Ottoman Carbon Ink while a True Spring suits Kogi Mango.

  ConnectorNo auth

• get_full_textA

  tomesphereA

  Fetch a paper's full body text as Markdown (methods, results, protocols, inline tables) — use for deep questions the abstract can't answer. Accepts an arXiv ID (2401.12345), a PMC ID (PMC5339222), or a bioRxiv/medRxiv DOI (10.1101/…).

  ConnectorNo auth

• check_report_statusA

  Moonlings — Local Business IntelligenceA

  Poll a deep research report by slug. Free. Returns status (generating / ready / failed); a failed report triggers the automatic refund of its launch charge. Deep reports typically take 10-20 minutes — poll every few minutes, not every few seconds.

  ConnectorNo auth

• finance_searchA

  Manawa TerminalA

  Search financial data and return an answer with an inline widget. Covers stocks, macro, forex, crypto, commodities, earnings, technicals, and related market questions. Pass the user's question in `query` without rephrasing. To screen a named watchlist or portfolio, call list_watchlists or list_portfolios first, then pass the symbols here with filter criteria in `query`. Exclusive modes when a Deep Dive exists: focus=ai + section=… → narrative section focus=raw + source=… → thin data slice focus=catalog → list available Deep Dives Args: query: The user's financial question symbols: Optional ticker universe to screen (e.g. from list_watchlists) section: Optional Deep Dive section (competition, valuation, thesis, forecast, analyst_consensus, people, financials, earnings, technicals, overview, moves) focus: Optional exclusive mode: ai | raw | auto | catalog source: Optional thin raw slice when focus=raw (comparison_peers, price_targets, consensus, quote, key_financials, …)

  ConnectorNo auth