"Information about 'dex' or related topics" matching MCP tools:

• search_articlesA

  Digital Garden by Alicia — NotesA

  Use this when the user asks what Alicia or digitalgarden.si has written about a subject (for example Houdini, Three.js, WebGPU, glTF/USD, Gaussian splats, AI coding agents, or the garden itself). Ranks published notes by keyword match on title, topics, summary and full text, in English and Chinese, and returns short cards (no full text). Follow up with get_article to read one. Do not use it for general web search, news, or topics unrelated to Alicia's published notes. An empty articles array means no published note matches. Scores are relative to this query and catalog, not confidence percentages; check titles and read the full note before presenting a match as relevant. Every result includes canonicalUrl and author Alicia (Person @id https://digitalgarden.si/#alicia). Cite the canonical URL when quoting. digitalgarden.si is an interactive 3D garden, not a knowledge-base wiki.

  ConnectorNo auth

• search_articlesA

  Digital Garden by Alicia — NotesA

  Use this when the user asks what Alicia or digitalgarden.si has written about a subject (for example Houdini, Three.js, WebGPU, glTF/USD, Gaussian splats, AI coding agents, or the garden itself). Ranks published notes by keyword match on title, topics, summary and full text, in English and Chinese, and returns short cards (no full text). Follow up with get_article to read one. Do not use it for general web search, news, or topics unrelated to Alicia's published notes. An empty articles array means no published note matches. Scores are relative to this query and catalog, not confidence percentages; check titles and read the full note before presenting a match as relevant. Every result includes canonicalUrl and author Alicia (Person @id https://digitalgarden.si/#alicia). Cite the canonical URL when quoting. digitalgarden.si is an interactive 3D garden, not a knowledge-base wiki.

  ConnectorNo auth

• get_wedding_informationA

  The Hill KinabaluA

  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.

  ConnectorNo auth

• cti_get_guidelinesA

  website-searchA

  Get Lenny Zeltser's expert CTI writing guidelines. Topics include tone, words, structure, executive_summary, voice, articles, summary, brief (one-page brief section guidance), handoffs (cross-server routing), methodology (the three subsections), fields (per-field guidance), and CTI-specific topics: attribution (full Six Signals prose), confidence (ICD-203 ladder), pyramid_of_pain, six_signals (signals table only), and anti_patterns. The general writing topics (tone/words/structure/executive_summary) now defer to `get_security_writing_guidelines` for the canonical Five Elements rules; CTI-specific content lives in the other topics. Pair the 'fields' topic with field_id for single-field guidance. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.

  ConnectorNo auth

• cortex_manifestA

  mitosisA

  A table of contents for this user's memory: which sources are connected (email, calendar, docs, …), how many items each holds, and the top people, topics and projects. It is an index rather than an answer — it contains no message bodies, no dates and no content, so it establishes that a source exists without saying anything about what is in it. The content behind any entry it lists is retrievable with cortex_ask.

  ConnectorNo auth

• get_stock_premiumsA

  0xrhXBT — Robinhood Chain IntelligenceA

  Every tokenized stock on Robinhood Chain priced three ways at once: the 24/7 DEX price, the live US-market print (regular session only), and the Chainlink oracle (frozen at the close). premiumPct = dex vs the live market — only meaningful while the session is open. driftPct = dex vs the frozen oracle print — the expected off-session drift, never an arbitrage claim. The envelope carries the session verdict (open / opensInSec) with its own clock. No other index on this chain has the live-market leg.

  ConnectorNo auth

• get_topicA

  Football AtlasA

  List the knowledge objects carrying a tag (topics are content-backed tags). PAGED: 25 objects by default, 200 at most, and a response budget of about 64 KB per call — a page over budget comes back shorter WITH a next_cursor, never truncated. Read next_cursor and call again to continue, and its absence means you have the last page. Use this to browse a known topic; use search when you have a question rather than a tag, and get_overview to see which tags exist. An unknown tag comes back with the topics that do exist, so a miss still moves you forward.

  ConnectorNo auth

• get_topicA

  Agent ReliabilityA

  List the knowledge objects carrying a tag (topics are content-backed tags). PAGED: 25 objects by default, 200 at most, and a response budget of about 64 KB per call — a page over budget comes back shorter WITH a next_cursor, never truncated. Read next_cursor and call again to continue, and its absence means you have the last page. Use this to browse a known topic; use search when you have a question rather than a tag, and get_overview to see which tags exist. An unknown tag comes back with the topics that do exist, so a miss still moves you forward.

  ConnectorNo auth

• get_product_detailA

  Easyparser — Amazon Product & Seller DataA

  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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• get_graphA

  Enhanciar: AI company brainA

  Return the workspace's knowledge graph: topics, links and clusters. Use it to draw or reason about the overall shape of the brain (which topics are hubs, how areas connect), not to read content: for page text use ``get_page``, for code dependencies use ``impact``. It takes no arguments and can be large. Returns ``{nodes, links, communities, stats}``, the graph the app's Map shows, with pages you cannot open left out, or ``{error}`` when no graph has been built for this workspace yet. It costs no AI tokens.

  ConnectorAPI key

• validate_angle_gapsA

  Ad Angle MapA

  Use this when the user wants to check whether people talk about a topic or an angle in public, such as "is there discussion about personalised dog food?". Pass one to five short phrases. Searches Hacker News and, if stack_site is given, one Stack Exchange site, for posts in the last year (or since_days). Returns per phrase the number of matching posts, the top three with title, link, score and comment count, and a plain signal. It is a weak signal skewed to technical and hobby topics, not a market size, and it does not search Reddit.

  ConnectorNo auth

• tax_factsA

  AI2Fin (2Fin) Tax MCPA

  Sourced facts about a country's tax system: when and why its GST/VAT was introduced, what it replaced, and memorable, true stories (court cases, elections, odd rulings) — each fact linked to its own source. Omit country for a primer on what a consumption tax is plus famous tax stories from history. Pass topic to keep only facts about one tax (each fact lists its topics). Use it for background, explainers, teaching or a conversation opener; for any rate or amount use tax_rate_lookup, compute_gst_vat or the estimate tools, because facts are dated stories, not live figures. Countries without curated facts return the list of countries that have them rather than an invented one.

  ConnectorNo auth

• awareness_search_knowledgeA

  Awareness — Memory, Knowledge & Agent MarketsA

  Search the PUBLIC Awareness knowledge graph — 1,000+ sourced scientific papers. Use this when the user (especially a researcher or a research agent) asks for peer-reviewed findings: "latest evidence on X", "highly-cited papers about Y", "what does the literature say about Z". This is NOT a memory tool — it does not read the user's private memory, and it needs no per-user API key, so it works even when Awareness memory is not configured (the MCP connection itself still needs its own token). Coverage: condensed-matter, quantum-information, materials, machine-learning, renewable-energy, chemistry, biology, medicine, neuroscience, computer-science (2022-2026, cited >= 50), plus a business supply/demand domain. What comes back (anonymous preview mode): title, snippet (preview), confidence, source_ref (DOI), citation_count, domain/topic, and a detail page URL. Full content is NOT in the preview — tell the user it is paid retrieval via POST /api/v1/public/retrieve with an API key (see https://awareness.market/en/knowledge for the KaaS product). Args: query: Natural-language research question or keywords (2-1000 chars). domain: "science" (default) or "business". topic: Optional sub-topic slug, e.g. "medicine", "condensed-matter", "supply-chain". Empty = search all topics in the domain. top_k: Max results, 1-20 (default 5; anonymous callers are capped at 3). include_graph: When true, also return same-topic related items. Returns: {"results": [{id, title, snippet, confidence, source_ref, citation_count, domain, topic, url}], "related": [...], "total": int, "mode": str} `mode` is "preview" (anonymous) or "full" (authenticated).

  ConnectorNo auth

• analyze_new_siteA

  BlawgyB

  Step 1 of adding a site to Blawgy. Crawls a domain that is not yet set up and returns what onboarding would suggest: a business description, audience and tone options, competitor domains, the detected business type and search market, and any physical locations found. Nothing is saved. Spends a few LLM calls and takes 15-40 seconds; set includeKeywordPreview=true for a sample of keyword topics too (adds about a minute and DataForSEO spend). Fails if the domain is already registered to an account or is a social/platform site. Review or edit the suggestions, then call create_site.

  ConnectorOAuth

• find_pulore_case_studiesA

  Pulore App PlannerA

  Use this only when someone asks about Pulore's own work or experience, for example whether Pulore has built something like their idea. Finds published Pulore case studies related to a topic, matching industry, platform, services and technology tags, and returns each project's summary and link, with timeline, team size and results where the case study publishes them. Searches the case-study files bundled with this server; it does not browse or modify external sites. Returns nothing when no project matches. Don't use it to find examples of other companies' products.

  ConnectorNo auth

• get_nursing_diagnosisA

  CarePlanKit — Nursing Care PlansA

  Get care plan material for a specific NANDA-style nursing diagnosis: its definition, related factors (the "related to" clause), defining characteristics (the "as evidenced by" clause), SMART goals, interventions, and the conditions where it is a priority. Use when a nursing student asks about a diagnosis rather than a disease, for example "risk for infection", "acute pain", "impaired gas exchange", "ineffective coping" or "risk for falls", or asks how to write a three-part diagnosis or an AEB statement. Educational reference, not medical advice.

  ConnectorNo auth

• reference_getA

  RiddleA

  Read this server's own documentation: the block types, form field types, result blocks, palette values and response shapes the other tools expect. Every "riddle://reference/..." URI named in a tool description, a response or an error message is a topic of this tool - pass it here to read that document. These are the authoritative parameter reference for the riddle_builder_* and palette_* tools: read the relevant one BEFORE the first call instead of guessing property names, and re-read it when a call fails with a VALIDATION_ERROR. Up to 3 topics per call, and only the ones you need - most are long. Which topics exist, and what each one holds, is the "topics" parameter's own enum and description - not repeated here. "riddleType", "blockTypes" and "fieldTypes" narrow a document to your own material, and are ignored - whole document returned, stated in the response - on one that has no such split. block-types is never returned unscoped: {"riddleType": ["Quiz"]} is still all thirteen of a Quiz's block types (~20 KB), so name the ones you are about to build in "blockTypes" (a Quiz filtered to ["SingleChoice"]: ~5.5 KB, and it says everything about that block the wide read does). Decide the blocks first, then read only those. "fieldTypes" does the same for form-field-types and form-field-defaults, so reading both of them with {"fieldTypes": ["Dropdown"]} is the complete reference for one field type and nothing else. The per-entity families need no filter at all - riddle://reference/block-defaults/SingleChoice IS the filtered read.

  ConnectorNo auth

• reference_getA

  Riddle Quiz MakerA

  Read this server's own documentation: the block types, form field types, result blocks, palette values and response shapes the other tools expect. Every "riddle://reference/..." URI named in a tool description, a response or an error message is a topic of this tool - pass it here to read that document. These are the authoritative parameter reference for the riddle_builder_* and palette_* tools: read the relevant one BEFORE the first call instead of guessing property names, and re-read it when a call fails with a VALIDATION_ERROR. Up to 3 topics per call, and only the ones you need - most are long. Which topics exist, and what each one holds, is the "topics" parameter's own enum and description - not repeated here. "riddleType", "blockTypes" and "fieldTypes" narrow a document to your own material, and are ignored - whole document returned, stated in the response - on one that has no such split. block-types is never returned unscoped: {"riddleType": ["Quiz"]} is still all thirteen of a Quiz's block types (~20 KB), so name the ones you are about to build in "blockTypes" (a Quiz filtered to ["SingleChoice"]: ~5.5 KB, and it says everything about that block the wide read does). Decide the blocks first, then read only those. "fieldTypes" does the same for form-field-types and form-field-defaults, so reading both of them with {"fieldTypes": ["Dropdown"]} is the complete reference for one field type and nothing else. The per-entity families need no filter at all - riddle://reference/block-defaults/SingleChoice IS the filtered read.

  ConnectorNo auth

• analyze_citation_structure_batchA

  VantageA

  Analyze the structural shape of the winning AI answer across several related keywords/topics in one call: does each lead with a list, how long is the opening, how many sources it cites. It covers a topic cluster in one call, for content planning across related pieces. Read-only: no side effects, safe to retry. Costs 1 quota unit per keyword in the batch (free tier is 30 units/month shared across all the metered tools, so up to 30 keywords total that period if nothing else is used). A per-keyword provider error doesn't fail the whole batch - that keyword's entry just carries an "error" field instead. Returns: {"results" (list, one {"keyword", ...same shape as analyze_citation_structure, or "error"} per keyword, in the order given), "summary": {"topics_analyzed", "topics_requested", "list_led_count", "avg_sources_cited", "avg_community_pct" (average source_mix.community_pct across the analyzed topics)}}. Args: keywords: topics/queries to analyze, e.g. ["how to reduce churn", "churn rate benchmarks", "reduce customer churn saas"]. Max 10. country: market to read the answers in, e.g. "Italy". Defaults to "United States". language: language code, e.g. "it". Defaults to "en". engine: "chat_gpt" (default), "gemini" or "perplexity", as in analyze_citation_structure. One answer per topic.

  ConnectorAPI key

• related_topicsA

  Web Search & Data APIA

  Google Trends related topics for a keyword. Returns the topics and named entities associated with a keyword in a given country, as top topics scored 0-100 relative to each other and rising topics with percentage growth, each carrying its entity type. Google Trends topic discovery for market research and content planning. [$0.03/call]. Params — keyword: the search term; geo: ISO-3166 alpha-2 country code, e.g. US, GB, DE, JP (213 countries supported); timeframe: time window. Each response reports its own bucket size in `granularity`: past_30_days and past_90_days return a daily series, past_12_months and past_5_years weekly, windows under a day hourly (2004_present|past_12_months|past_30_days|past_4_hours|past_5_years|past_7_days|past_90_days|past_day|past_hour) Example params: {'keyword': 'bitcoin', 'geo': 'US'}

  ConnectorNo auth

• get_region_infoA

  Das Landhaus Apartments PrägantA

  Return curated information about Bad Kleinkirchheim and the house for a topic. Use for "what can we do there?" and house questions: house rules and services (self-catering, no breakfast, bread-roll service, no pets, baby cot/high chair on request, chip access), skiing (winter), hiking, biking and lakes (summer), thermal spas and the in-house sauna (wellness), golf incl. the free green fee and tee-time booking, families, workation, arrival. The Kärnten Card (summer only) and the free green fee are explained exactly. Not for prices or availability (check_availability) and not for apartment facts (get_apartment_details). Behaviour: read-only, static curated content from the property (no web search), instant; topics 'house' and 'wellness' also list the property's official house photos (sauna, steam bath, relaxation room …) — to show them, call render_house_photos, never a web image search (other businesses share the 'Prägant' name). Returns text plus structuredContent.topics (topic, lines), photos (kind, url, caption) and contact details.

  ConnectorNo auth