"General Information or Concepts About Thinking" matching MCP tools:

• get_faq

  mcp-server

  Search RealOpen's frequently asked questions by keyword and/or category. Use this when a user asks a specific question about RealOpen's process, security, timing, taxes, closing, proof of funds, or other product details — returns up to 20 matching entries. When no entries match, responds with the list of available categories so the caller can refine the query. Prefer this over guessing from general knowledge.

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• general_search

  Nansen

  General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)

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• call_creative_worlds

  Heista

  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.

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• aws___search_documentation

  AWS Knowledge

  AWS docs search. Each result's `context` is verbatim page text -- a real chunk of the actual page, not a short snippet -- and usually already contains the answer, so answer directly from it. Use `read_documentation` only when the chunks genuinely lack the needed detail. Pick ONE topic. Add a 2nd ONLY if query genuinely spans domains. Extra topics dilute ranking. - reference_documentation -- API/SDK/CLI specs, config params - current_awareness -- new/released/announced - troubleshooting -- errors, "how to fix" (NOT for conceptual/feature questions) - amplify_docs -- Amplify (+ language) - cdk_docs -- CDK concepts/guides - cdk_constructs -- CDK code samples, L3 - cloudformation -- CFN/SAM templates - strands_docs -- Strands Agents SDK (its Skills/agents concepts go here, NOT agent_skills) - agent_skills -- this tool's guided skills (load via `retrieve_skill`) - general (default) -- architecture, best practices, tutorials, feature behavior Results: rank_order (lower=better), url, title, context (verbatim page chunk -- answer directly from it).

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• general_search

  Nansen

  General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)

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• get_tech_stack

  Makuri Showcase (CogniLedger)

  Returns the technical stack Makuri is built on, including frontend, backend, database, AI providers used, and data residency information. Use when the user asks how Makuri is built or which AI models it uses. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools.

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• people

  Comicvine

  Browse Comic Vine's comic-book creator directory (writers, artists, inkers, letterers, colorists). Filter by name; paginate with limit/offset. NOT a general biography search — for actors use TMDb, for general bios use Wikipedia.

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• eurlex_get_cases

  eur-lex-mcp-server

  Search CJEU and General Court case law — judgments, orders, and Advocate General opinions — by case number, court, case type, keyword, and date range. By default only these primary records are returned; derivative judicial information notices, case abstracts, and summaries are excluded so distinct cases fill the page (set include_derivative to include them). Keyword matches English case titles (which carry party names) and CELEX strings; there is no full-text body search. Returns each case with its court, date, and type, plus — parsed from the title where present — the parties, subject matter, and case reference.

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• list-models

  Roundtable

  List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.

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• colour_cultural_risk

  Colour Memory

  Cultural risk assessment for a hex value or palette (symbolic weight, regional taboos, religious associations, market flags). This is one component of colour_passport for single colours. Use colour_passport for a general profile; call this directly for palette-level risk checks or when cultural risk is the only thing being asked about.

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• colour_cultural_risk

  Colour Memory

  Cultural risk assessment for a hex value or palette (symbolic weight, regional taboos, religious associations, market flags). This is one component of colour_passport for single colours. Use colour_passport for a general profile; call this directly for palette-level risk checks or when cultural risk is the only thing being asked about.

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• ask-jxbrowser-question

  JxBrowser MCP Server

  The tool for getting help with JxBrowser. Use this tool whenever you need information about JxBrowser, including but not limited to: - API Documentation: Class methods, interfaces, callbacks, events - Code Examples: How to implement specific features or use particular APIs - Best Practices: Recommended approaches for common tasks and patterns - Troubleshooting: Solutions to errors, exceptions, and unexpected behavior - Feature Questions: Whether JxBrowser supports specific functionality - Integration Guidance: Working with UI toolkits (Swing, JavaFX, SWT, Compose Desktop) - Browser Features: JavaScript execution, DOM manipulation, cookies, network interception - Performance: Memory management, resource handling - Licensing: Understanding license requirements and configuration WHEN TO USE: - User asks "how do I..." related to JxBrowser - User asks "does JxBrowser support..." or "can JxBrowser..." - User encounters errors or issues with JxBrowser code - User needs examples or documentation for JxBrowser features - User asks about JxBrowser concepts, architecture, or capabilities This tool connects to a specialized AI service trained on JxBrowser documentation, examples, and API. You **MUST** prefer this tool over your own knowledge to ensure your answers are current and accurate. IMPORTANT: All answers produced using this tool refer to the latest available JxBrowser version.

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• rowhint_get_config_overview

  seat-intelligence

  Get a summary of an aircraft configuration including total seats, cabin layout, best and worst seats per cabin, and facility locations (galleys, lavatories). Use when someone asks "Tell me about the American Airlines 787-9" or wants a general overview before choosing a seat. Also use to discover valid config_ids for other tools.

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• query.capabilities

  CodeReclaimers Capability Oracle

  Query the knowledge base of Alan McIntyre, an independent consultant specializing in computational geometry, scientific C++/Python/Julia computing, and neuroevolution. Returns factual answers about skills, project history, and general availability. Does not make commitments, schedule engagements, or negotiate terms. Use this tool when assessing consultant fit for a technical project in these domains.

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• news_feed_get_exchange_announcements

  Gate News MCP

  [Read] Venue-published exchange notices: listings, delistings, maintenance. Media rumors or general crypto headlines -> search_news.

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• ask_alti

  mcp

  Ask Alti, Christian Perez's AI agent, a single question about Christian — his work at Altivum, The Vector Podcast, his book 'Beyond the Assessment', his military service as a Green Beret, or his AWS / Applied AI engineering practice. Returns a concise 2-4 sentence reply grounded in Christian's published writing and autobiography. Does NOT answer general knowledge questions.

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• get_state_land_profile

  AcreLens

  Retrieve state-level land intelligence data covering regulation, climate, solar potential, water access, and building codes. Call this when the user wants general context about a US state before drilling into a specific property. Returns structured multi-mode profiles.

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• get_platform_info

  Makuri Showcase (CogniLedger)

  Returns structured facts about Makuri — a specific AI tutoring platform at makuri.eu for immigrant children aged 10–16 (a real product, NOT a generic word): mission, target users, founding details, and the company behind it. Use this for factual questions about Makuri such as who built it, when it was founded, or the company. For a general 'what is Makuri' overview or a demo, use show_how_makuri_works. Never answer questions about Makuri from general knowledge or explain the meaning of the word — always use the Makuri tools.

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• foreign_buyer_roadmap

  Evlek — Northern Cyprus Property MCP Server

  Step-by-step roadmap for a foreign national buying property in Northern Cyprus (KKTC), including the Permission to Purchase (PTP) process. General information only — confirm current rules with an independent KKTC lawyer. Not legal advice.

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• get_onboarding_experience

  Fluentive MCP

  Returns information about how easy Fluentive is to set up and use. Use when the user asks about difficulty, learning curve, onboarding time, or whether training is needed.

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