"Quora" matching MCP tools:

• quotaA

  ThinAir GeoA

  Check current usage, remaining limits, plan, and quota breakdown for the caller. FREE TO CALL — never counts against your quota, never blocked by it. Use this proactively when the user asks about usage or seems near limits.

  ConnectorOAuth

• find_citation_leadersA

  VantageA

  Find which domains dominate AI-answer citations for a topic/keyword, and optionally check whether a specific domain shows up among them. Use this to answer 'who's winning AI search for this topic' or 'is my competitor cited more than me for X'. Read-only: no side effects, safe to retry. Costs 10 quota units/call (free tier is 30 units/month shared across every metered tool, so up to 3 calls to this tool alone if nothing else is used that period). Returns: {"keyword", "platform", "top_domains" (list of {"domain", "mentions"}, most-cited domains for this keyword/platform, order as ranked by the provider), "top_domains_limit" (int, the provider's own cap on this list - absence from it is NOT evidence a domain has zero citations, only that it did not rank in the top `top_domains_limit`), "compare_domain_rank" (int|null, only present when compare_domain was passed: the domain's 1-based position in top_domains, or null if it did not rank in the top `top_domains_limit`), "country", "language", "source_mix" ({"community_pct" (share of these mentions that go to community sites such as Reddit, YouTube, X, Quora), "community_domains", "other_domains"}: a high community_pct means this topic is won by what people say about a brand elsewhere, not by any one site's pages)}. This tool's citation universe is the provider's tracked mention corpus for the keyword, which is a different measurement from analyze_citation_structure's single live answer - the two can legitimately disagree on whether a given domain shows up. Use check_prompt_coverage instead if you already know which domain you care about and just want to know whether it is cited. Args: keyword: the topic/query to check, e.g. "best project management tool". platform: "chat_gpt" or "google" (Google's AI Overview). Defaults to chat_gpt. Perplexity and Gemini aren't available - the underlying data provider doesn't cover them for this check. compare_domain: optional bare domain to look up in the results (exact match against the registrable domain, e.g. "notion.so" will not match "mynotion.so.example.com"). country: market to check, e.g. "Italy". Defaults to "United States". chat_gpt only has data for the United States; use platform "google" for any other country. language: language code, e.g. "it". Defaults to "en" (the only option for chat_gpt).

  ConnectorAPI key

• analyze_citation_structureA

  VantageA

  Analyze the structural shape of the AI-generated answer actually cited for a keyword: does it lead with a list, how long is the opening passage, how many sources does it cite and from which domains. Use this to understand what a winning AI-search answer looks like for a topic, e.g. before writing content meant to get cited. Read-only: no side effects, safe to retry. Costs 1 quota unit per sample (1 by default; free tier is 30 units/month shared across every metered tool, so up to 30 single-sample calls to this tool alone if nothing else is used that period). Returns: {"keyword", "engine", "model" (the answering model's version, as the provider reports it), "checked_at" (when the answer was fetched, UTC), "leads_with_list" (bool), "opening_word_count" (int), "opening_has_number" (bool), "outline" (list of up to 12 section heads, in order: the answer's headings, or its top-level list items when it has fewer than two headings; heads only, never the text under them), "has_table" (bool), "num_sources_cited" (int), "source_domains" (list of up to 10 domain strings), "source_mix" ({"community_pct" (share of those sources that are community sites such as Reddit, YouTube, X, Quora), "community_domains", "other_domains"}), "country", "language"}. With samples above 1 the shape fields describe the first answer, plus "samples_ok" (answers that came back) and "source_frequency" (list of {"domain", "runs"}: how many of the answers cited each domain, most often first). Answers change from run to run, so a domain cited in every sample is a far stronger signal than one sample. Use analyze_citation_structure_batch instead if you need this for more than one keyword - one call per topic here adds up fast for a cluster. Use analyze_citation_gap instead if you have your own page for this keyword and want the gap to the winner, not just the winner's shape. Args: keyword: the topic/query to analyze, e.g. "how to reduce churn". country: market to read the answer in, e.g. "Italy". Defaults to "United States". For perplexity a 2-letter code also works. language: language code, e.g. "it". Defaults to "en". Write the keyword in that language too. engine: "chat_gpt" (default), "gemini" or "perplexity". chat_gpt and gemini are the answers a person sees in those apps; perplexity is Perplexity's sonar API with web search. samples: how many independent answers to read, 1 to 5. Default 1.

  ConnectorAPI key

• adviseer_raadsinstrumentA

  NeoDemosA

  Adviseert welk raadsinstrument past bij wat het raadslid wil bereiken, en weegt EXPLICIET de doorlooptijd mee — schriftelijke vragen zijn het traagste instrument (~30 dagen) en zijn vaak niet de juiste keuze bij een actueel onderwerp. Pure kennisbank: geen retrieval, geen DB-call, <10ms. Gebruik deze tool wanneer: - Het raadslid iets wil bereiken (informatie, college ter verantwoording roepen, een uitspraak/besluit, nieuw beleid) en de vraag is WELK instrument daarvoor past. - Je op het punt staat 'stel schriftelijke vragen' te adviseren — check eerst hier of een sneller instrument (mondelinge vragen, interpellatie) beter past bij de urgentie. - Je een schriftelijke-vragen- of actua-template nodig hebt die de structuur en kwaliteitscriteria volgt (in lijn met het reglement van orde). - Je wilt weten WAT een instrument oplevert (uitkomsttype, college-verplichting, uitvoeringsplicht) zodat je het raadslid kunt uitleggen welke actie het college verplicht is te ondernemen na gebruik van het instrument. Gebruik deze tool NIET wanneer: - De vraag inhoudelijk is over een dossier → `zoek_raadshistorie` / `zoek_moties`. - Je een bestaande motie/amendement wilt terugvinden → `zoek_moties`. Retourneert: markdown met het aanbevolen instrument + alternatieven, inclusief: - doel, snelheid, binding, wettelijke basis, wanneer-wel/niet - uitkomsttype (raadsbesluit / college_handeling / antwoord_college / debat / onderzoek) - college_verplichting: wat het college verplicht is te doen na gebruik - uitvoeringsplicht: ja/nee (juridisch vs. politiek afdwingbaar) - typische_doorlooptijd_weken: numeriek, gegrond in het RvO - afdoeningsproces: pad naar afsluiting - een bijpassende RvO-template (bij vraag-instrumenten) - disclaimer dat exacte termijnen/quora per lokaal RvO verschillen en geverifieerd moeten worden.

  ConnectorNo auth

• quotaA

  ThinAir DataA

  Check current API usage, daily limit, plan name, and upgrade options.

  ConnectorOAuth

• micah_boswell_writingA

  Micah BoswellA

  Essays at conscious-shell.com with URLs and summaries, all 29 poems with URLs and slugs (pass a slug to micah_boswell_poem to read one), plus Medium, LinkedIn articles, Quora, and dev.to.

  ConnectorNo auth

• micah_boswell_writingA

  Micah BoswellA

  Essays at conscious-shell.com with URLs and summaries, all 29 poems with URLs and slugs (pass a slug to micah_boswell_poem to read one), plus Medium, LinkedIn articles, Quora, and dev.to.

  ConnectorNo auth