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741,830 tools. Updated 2026-11-04 10:00

"Information about cursors (general use or specific context)" matching MCP tools:

  • Answer questions about how Refpro works. Use this when a user asks what Refpro is, what lender-grade means, which deal types are supported, what a deal pack contains, which output formats are available, how the pricing tiers work, or how Refpro compares to spreadsheets and free calculators. Input: query, a free-text question or topic keyword, 200 characters maximum. Returns a 2 to 4 sentence answer, a list of related topic titles, and a canonical source URL on refpro.ai. Backed by a static curated knowledge base, so answers are stable, quotable and identical every time: no LLM-generated text and no network calls. Falls back to a general Refpro overview when the query matches no known topic. Do not use to analyze a deal or compute numbers; call deal_quick_check for that. Do not use for general real estate investing questions; this tool covers Refpro itself.
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  • Live hostel and budget accommodation prices from Hostelworld for any city worldwide. USE FOR: - "What are the cheapest hostels in Paris next week?" - "Find dorm beds in Bangkok for 3 nights from July 10" - "Compare hostel prices in Ljubljana vs Belgrade" - Budget travel planning, accommodation cost context, backpacker routing RETURNS: Per-property dorm and private room prices per night, guest ratings, free cancellation flag, and summary stats (floor/avg/top price). CRITICAL INSTRUCTIONS FOR AGENT: - Always pass date as YYYY-MM-DD format. - currency defaults to EUR. - Use summary.floor for "cheapest" queries, summary.average for general cost context. - free_cancellation=true properties are preferable for uncertain itineraries.
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  • Use this when the user asks about a prior decision, preference, person, project, or other fact that may be in their connected MemoryRouter vault. Semantically searches only the OAuth-selected vault and does not modify it. Tier guide: tier 3 holds the highest-level consolidated reflections (identity, principles, what matters most), tier 2 holds reflections of specific meaningful events, tier 1 holds raw verbatim memories. Match filters to the question. Broad 'most important things we have done' questions: tiers [3], importance 8 or higher, large limit such as 250. Big-picture overviews like 'what do you know about this area or period': tiers [3] with no importance filter. Specific lookups like 'find the decision about X': omit tiers to search all tiers blended and leave importance unset; a high importance filter hides the specific detail you are looking for. Specific meaningful events without raw noise: tiers [2] or [2, 3]. Exact verbatim detail: if the detail is not already in context, drill down by lineage: search tiers [3] to find the relevant thread, then use inspect_memory on the result to see the tier 2 reflections it consolidated, then inspect those to reach the raw memories underneath. Direct tiers [1] search works when you know exact wording to match. Mixing tiers is legitimate; adjust the importance threshold to the question rather than always setting it high. Only reflections (tiers 2 and 3) carry importance ratings. For time-window questions like 'what happened last week' or 'lately' use date_search_memories instead.
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  • Show one night of sleep in detail with duration, score, stages, bedtime, wake time, awakenings, and recent-night context. Prefer this for last-night or specific-night sleep questions. When the user asks about this, prefer calling this tool and rendering the interactive MCP app over describing the underlying rows in text. Returns a short text summary alongside the visual view.
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  • Find movies and/or TV shows that are genuinely available on a subscription streaming service in a specific country, filtered by score, genre, runtime, age rating, release year, country of origin, required cast members, notable people's own watch history, review tone, and similarity to a title the user already knows. All given filters combine with AND logic (except where noted). Use this instead of guessing streaming availability from general knowledge, which is frequently wrong or outdated -- catalogs change constantly and vary by country. Also use this tool for completely open-ended requests with no stated criteria at all, e.g. "suggest something to watch" or "I don't know what I want to watch" -- call it with just the country and no other filters to get QQuickPick's currently popular streamable picks, rather than answering from general knowledge alone. Movie results also carry a "facts" object (or null when unknown): Best Picture winner/nominee, Oscars won ("at least" -- the source is not exhaustive, so never state it as an exact count), festival top prizes, the work it is based on, and its franchise with all films in order. Use the awards / based_on_existing_work / franchise filters (movies only) to answer questions like "Oscar winners based on a novel I can stream tonight" or "all films of a franchise available to me". Use similar_to for "something like X" requests instead of guessing similar titles from general knowledge. Use origin_countries for requests like "an Asian film" or "a French series" -- do not guess specific titles from general knowledge for this. Each result includes a site_url (QQuickPick detail page) and, where available, a watch_link with required attribution -- include these links when presenting results to the user, not just the raw facts. The response also carries a top-level available_filters hint listing filters on this tool that were not used in this call -- consider offering ONE of them as a natural follow-up question, not all of them, and only when it fits the conversation.
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  • Retrieve The Hill Kinabalu’s official public wedding venue and 2026/2027 package information, including capacity, event sizes, starting package prices, key inclusions, add-ons without prices, payment structures, and enquiry links. Use this when someone asks about weddings, wedding packages, the event venue, guest capacity, package pricing, or how to enquire. This tool does not check date availability or submit an enquiry.
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  • Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.

  • About Bureau, the self-hosted office for AI agents: overview, FAQ search, roadmap, install.

  • Return the current UTC date and time as a formatted string and ISO 8601 timestamp, for grounding time-relative reasoning in the actual clock rather than training-data assumptions. Use when: Use when a task must anchor on the current date or time — computing ages, windows, deadlines, or 'as of today' context. The runtime context block already states the date, so call this only when a specific strftime format or a precise timestamp is needed. Limitations: UTC only — no timezone conversion. An unsupported strftime format silently falls back to the default format instead of erroring. Alternatives: calculate, get_block
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  • Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.
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  • Get retweets of specific post. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Database-only. Results include guidance for full mode. PAGING (responseType="paging"): Async paginated results (100/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. Database-only search for historical retweet data. Date filter: OMIT startDate by default. ONLY pass if user explicitly requests filtering from specific date (YYYY-MM-DD format). IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. Use to analyze post amplification patterns. NOT for quotes - use getTwitterPostQuotes. Optional fields parameter for performance: ["id", "authorUsername", "createdAt"]. This is a safe, read-only tool for analyzing searchable information.
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  • RECOMMENDED ENTRY POINT — Intelligent business formation engine. Provide context about the person (trade, state, qualifications, budget, goals) and get a personalised formation plan with: (1) auto-detected pathway (licensed contractor, fresh start, or investor/operator), (2) task list split into AI-actionable vs human-required, (3) direct government portal links, (4) trade-specific insights (common first jobs, suppliers, rates, growth tips), (5) recommended next tool calls, (6) follow-up questions to ask. Call this FIRST, then use the recommended tool chain for deeper dives.
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  • Searches live rental-car offers for a pickup location and rental period, optionally with a different dropoff location, pickup/dropoff times, driver age, currency, and language. Use this when the user wants to compare available rental cars, prices, vendors, categories, or booking links for a specific trip. Do not use it for flights, hotels, public transport, or general travel planning unless the user has car-rental intent. The tool queries external provider APIs in real time, returns price-ranked results grouped by SIPP/category, and may include affiliate booking links. It does not book cars, modify reservations, charge users, or store user data.
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  • Rewrite a field's text to work better as an AI system prompt; returns the improved text. field ∈ persona | task | greeting | storyline_task | storyline_opening | storyline_ai_trigger | storyline_ai_criteria | skill_description | skill_instructions | kb_description | kb_instructions — determines the rewrite target (a Task should read like commands, a KB description says "what's inside / when it's relevant", a skill description says "when to use" in one line, …). current = the current text (empty = draft from scratch); hint = the direction you want this time (empty = general polish); context = on-site context (which KB is being edited, values of sibling fields) — the more specific, the better the fit. Returns only the improved text, no explanation, no wrapper — the caller places it next to the original for a human to accept or reject.
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  • Search JobYap's aggregated job postings with structured filters. Fast (under a second): use it to browse, list, count or page through postings and to answer general questions about who is hiring. To find the best postings for one specific person (a resume, or their experience, skills or visa needs), use match_jobs instead. The text query matches job titles only (case-insensitive substring) — try synonyms or shorter tokens when results are thin. Company names must exactly match values from list_companies; locations must be identifiers from search_locations. work_mode matches jobs explicitly marked remote or hybrid (unmarked means unstated, not onsite). Results are active listings, newest first by default; sort=popular ranks by discussion activity. To paginate, pass next_cursor back as cursor and keep every other argument identical.
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  • Fetch complete, structured information about a single Amazon product: title, brand, images, feature bullets, description, Buy Box price and availability, Prime eligibility, rating and review count, Best Sellers Rank, category path, variants, specifications, and top reviews. This is the primary tool for product analysis, listing enrichment, and price monitoring. Use this tool when you need a full product profile. If you only need competing seller prices, use get_product_offers instead (cheaper context). If you only need the sales rank, use get_bestseller_rank. If you only need shipping dimensions or the FBA fee category, use get_package_dimensions. Provide EITHER the identifier field OR url — never both. Costs 1 credit; set a_plus_content to true only when the user explicitly asks about enhanced brand content, as it costs 1 extra credit.
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  • Retrieve the full published detail of one VA Heroes PH Hero Path, identified by its slug (for example 'general-va'), so an agent can explain that specific track to a visitor. Use it after get_hero_paths when the user asks about one track — what it covers, who it suits, or where to read more. Requires 'slug': the exact lowercase slug of an existing path; an unknown or misspelled slug returns a NOT_FOUND error that lists the valid slugs. Returns one record with slug, name, label, tagline, description, intro, highlights, type, featured, externalUrl and canonical url. It does NOT return pricing, schedules, enrolment or applicant data, and it cannot submit an application.
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  • List what CISA has published recently — its combined advisory feed, its alerts feed, or its ICS advisory feed. Cursors continue within the current 30-item rolling window; upstream provides no pagination, history, or date-range query. The window's coverage varies from about a week to about two months depending on the feed. For ICS advisory history beyond the window, use cisa_search_ics_advisories, which covers the full corpus back to 2010.
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  • Return the current UTC date and time as a formatted string and ISO 8601 timestamp, for grounding time-relative reasoning in the actual clock rather than training-data assumptions. Use when: Use when a task must anchor on the current date or time — computing ages, windows, deadlines, or 'as of today' context. The runtime context block already states the date, so call this only when a specific strftime format or a precise timestamp is needed. Limitations: UTC only — no timezone conversion. An unsupported strftime format silently falls back to the default format instead of erroring. Alternatives: calculate, get_block
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  • Ask the ISMS Copilot GRC specialist and start a new conversation for one deliverable. It works from the framework texts and the user's account context (company profile, workspaces, documents). Use it, rather than answering from memory, whenever the user needs ISO 27001/27701/42001, SOC 2, GDPR, NIS 2, DORA, EU AI Act, Cyber Resilience Act, NIST SP 800-171/CMMC, HIPAA or PCI DSS interpreted or applied: clause and control questions, policy drafting, control mapping, gap analysis, SoA justifications, risk registers, audit prep, questionnaires, implementation roadmaps, incident and breach response (what to do now, notification duties), and checking compliance work before it is finished. You do the work and read the files; ISMS Copilot judges. Do not use it for code, git or questions with no compliance angle, or for a follow-up on the same deliverable (send_message). Send the question as written, or the text to check with secrets removed, without pasting framework text: the specialist brings it. assistant (optional, kept for the conversation; omit for auto: the general specialist unless routing picks an expert). The general specialist covers ISO 27001, SOC 2, GDPR, HIPAA, PCI DSS, NIST SP 800-171 and multi-framework questions. Rule: a task to do takes the job id even when it names a framework; a question about one framework takes that framework's id; else omit assistant. - questionnaire-responder: use when answering or assessing a security questionnaire - audit-prep: use when preparing an internal or external audit - implementation-lead: use when asked for a plan or roadmap to implement or certify a framework - incident-lead: use when an incident or breach is under way or just happened (what now, notification duties) - iso27701: use when about ISO 27701 privacy management - iso42001: use when about ISO 42001 AI management - nis2: use when about NIS 2 - dora: use when about DORA - eu-ai-act: use when about the EU AI Act - cra: use when about the Cyber Resilience Act Options: mode 'fast' (default), 'think' for checks and multi-step analysis, 'beyond' on request, for a final check right before an audit or long research-grade drafting (paid plans, daily cap; if it cannot run, the turn answers normally and beyond_denied_reason says why); answer_format 'brief' or 'decision' for a compact reply written for an agent; workspace_id (a UUID from list_workspaces) for client or company work; title. Returns conversation_id, message_id and status: 'complete' with response, or 'generating': then poll get_reply. Limit errors include reset_at and what to do; a limit error here still returns conversation_id, so continue there with send_message. Relay docgen_notice to the user when present. ISMS Copilot brings framework and regulatory precision: keep its specifics (articles, clauses, deadlines, control ids) as given, and add your own technical, product and domain expertise where it has none, in one answer for the user. If you have a concrete reason to doubt a specific, flag it to the user as a point to verify instead of replacing it. Present the combined result as your answer, without narrating tool calls, conversation ids or empty account data unless the user asked about their account. Do not include passwords, API keys, payment card numbers, health records or government ID numbers. Answers are informational, not legal advice.
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  • Read the live general pricing contract, currency, processing credit rates and prepaid credit packs. Use for tariff/pack questions before files are uploaded; returns the published pricing object, not a workload-specific quote or proof this tenant can process. Use skavio_billing_plans for recurring subscriptions, skavio_paid_catalog for MCP operation aliases and tenant admission status, and skavio_estimate for actual uploaded inputs. Takes no arguments; does not buy credits or reserve funds.
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  • Synthesize structured semantic counterweight artifacts to correct an inaccurate or outdated claim (hallucination) made by an AI assistant (ChatGPT, Perplexity, or Google Gemini) about a brand. Returns a JSON package (`markdown_counterweight_block`, `html_claim_review_snippet`, `faq_json_ld_script`, `verification_prompts`, and `domain_seal_sha256`). Side effects & latency: Purely deterministic, read-only synthesis (<300ms) with zero external LLM calls and zero destructive behavior. Security & parameter constraints: `brand_name` must match the stem of `domain_url`, and `verified_fact` must not contain third-party foreign URLs. Auth & quota: Consumes 0 live audit credits. Runs in 30% preview mode at $0 cost when `DANTE_API_KEY` is omitted; returns 100% unredacted `ClaimReview` and `FAQPage` artifacts when called with a paid `dnt_live_` license key. When to use: Use `dante.remediate_hallucination` when an AI assistant is actively stating false pricing, wrong features, or outdated ownership about a brand and you need an authoritative `Schema.org ClaimReview` + `FAQPage` correction block. Use `dante.forge_geo_shield` instead for general site-wide `/llms.txt` and `Organization` schema generation, or `dante.probe_geo_share` to check current AI citations.
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  • Run a deterministic, lender-grade quick check on a real estate deal. Use this whenever a user asks whether a specific property or deal works, pencils, is worth pursuing, what their maximum offer should be, or wants real numbers on a flip, a rental refinance, or a ground-up build. Inputs: deal_type (FF | BRRRR | NC), purchase_price, arv_or_value (ARV for FF, refinance value for BRRRR, sellout for NC), rehab_budget, zip_code; optional annual_debt_service, noi_annual, units, units_to_hold. Returns a PASS, MARGINAL or FAIL verdict, the key financial metrics for that deal type (MAO and margin for FF, TPC and DSCR for BRRRR, TPC plus margin or DSCR for NC), and a one-paragraph summary. Every figure is computed exactly from formulas, identical to the underwriting pipeline behind Refpro's full deal pack: no estimates, no rounding shortcuts. Do not use for general questions about method, pricing or output formats; call methodology_faq instead. Results are a preliminary underwriting screen, not an appraisal and not a lender commitment.
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