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743,038 tools. Updated 2026-11-04 18:29

"A search about Taiwan" matching MCP tools:

  • Reddit posts matching a query, ranked by the search, across all of Reddit or inside one community. Use when: "what do people on Reddit say about X", "find threads complaining about Y", "who is asking for a tool like ours". Not for: everything new in a community since you last looked, use reddit_get_new_posts (ranked search is never complete). Reading one thread, use reddit_get_post and reddit_get_comments. Choosing communities to watch, use reddit_search_subreddits. Returns: List, ranked, not exhaustive. rows[]: id, subreddit, title, author, created_at, score, comments, upvote_ratio, url, link_url, body (cut at 2000 characters), flair, over_18, is_video. Cost: 1 credit per call, up to about 25 posts; nothing on NoData. Cached 1 hour. Example: {"query": "hubspot alternative", "sort": "new", "time_range": "month"}
    ConnectorAPI key
  • The communities that discuss a topic, counted from one page of search results. Use when: "which subreddits talk about X", picking the communities to pass to reddit_get_new_posts, sizing where a conversation happens. Not for: a full directory of subreddits about a topic (this counts a sample of posts, so a quiet community can be missing). One community's rules and size, use reddit_get_subreddit. The posts themselves, use reddit_search_posts. Returns: List, most posts in the sample first. rows[]: name, url, posts_in_sample, example_post_url. Search carries no community size; reddit_get_subreddit gives weekly visitors. Cost: 1 credit. Cached 1 hour. Example: {"query": "cold email deliverability", "time_range": "year"}
    ConnectorAPI key
  • Search Taiwan (ROC) law articles by legal concept, keyword, or a specific article reference. Backed by a Qdrant hybrid (dense + bigram-sparse, RRF-fused) search over a curated set of major Taiwan laws and regulations (laws only, not court decisions). Use it when you don't yet know which article applies. Use get_article_by_number instead when you already know the law and article number, search_law_titles to resolve a law's official name, and search_decisions for court rulings. Returns matching articles with law name, article number, relevance and text; historical versions are marked.
    ConnectorAPI key
  • Search detailed documentation for Strudel live coding or ABC/ABCJS notation. Returns relevant code examples and explanations from the official docs. Use this when the curated guides (get-strudel-guide, get-music-guide) don't cover what you need — for specific functions, advanced techniques, or when you're unsure about syntax. Powered by semantic search over strudel.cc and ABCJS docs.
    ConnectorNo auth
  • Hybrid keyword + semantic search over the public pages of vascue.io: healthcare-operations guides, Vascue Front Desk for clinics, provider-side insurance-claims automation, practice-management integrations (two-way sync with Cliniko and Nookal; Jane, Mindbody, PracticeHub, HexaHealth, Halaxy, Clinicea, ClinicOffice, Semble, Plato Medical and JERA in progress), security and compliance pages, case studies, pricing and blog posts. Use it to answer questions about what Vascue offers, how its products work and what it has published. One topic per call; cite the returned page URL for every excerpt you use. Returns a JSON text payload: result.chunks[] ordered by relevance, each with text (a Markdown excerpt), score (0-1, higher is better) and item.metadata.url (the canonical https://www.vascue.io/... page). Off-topic queries still return the nearest chunks, so treat scores below about 0.5 as weak evidence and say so when the site does not cover a topic. Read-only and idempotent; no authentication; 60 requests per minute per client. Public content only: never send patient information, claim documents, clinic credentials or booking requests. It cannot book appointments or look up clinic data.
    ConnectorNo auth
  • Hybrid keyword + semantic search over the public pages of vascue.io: healthcare-operations guides, Vascue Front Desk for clinics, provider-side insurance-claims automation, practice-management integrations (two-way sync with Cliniko and Nookal; Jane, Mindbody, PracticeHub, HexaHealth, Halaxy, Clinicea, ClinicOffice, Semble, Plato Medical and JERA in progress), security and compliance pages, case studies, pricing and blog posts. Use it to answer questions about what Vascue offers, how its products work and what it has published. One topic per call; cite the returned page URL for every excerpt you use. Returns a JSON text payload: result.chunks[] ordered by relevance, each with text (a Markdown excerpt), score (0-1, higher is better) and item.metadata.url (the canonical https://www.vascue.io/... page). Off-topic queries still return the nearest chunks, so treat scores below about 0.5 as weak evidence and say so when the site does not cover a topic. Read-only and idempotent; no authentication; 60 requests per minute per client. Public content only: never send patient information, claim documents, clinic credentials or booking requests. It cannot book appointments or look up clinic data.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    面向 Codex、WorkBuddy 等 AI 工具的知你AI助手合并版 Skills,涵盖当前会话分诊、客户查询与画像、历史会话检索、客户分群和 API Key 用量查询,并连接个微、企微、视频号、微信小程序、公众号、服务号、微信客服、微信小店、抖音号、小红书、微博、网站及H5客服等渠道。
    MIT No Attribution
  • A
    license
    Not graded
    quality
    C
    maintenance
    这是面向智能运维场景的 MCP 工具服务,让 Agent 能够按需检索日志内容并获取主机与应用的监控指标数据。它把实时的日志与指标证据接入 Plan-Execute-Replan 诊断流程,从而支撑自动故障排查与根因分析。
    3
    MIT

Matching MCP Connectors

  • Search SEC EDGAR registrants (US-listed companies) by ticker, company name, or CIK. Returns the 10-digit zero-padded CIK needed by the other edgar_* tools. Not this tool for: Korean companies (use search_dart_company). Japan, Taiwan and Europe have no search tool — reach them through query_db on the companies table. Args: - query (required): ticker ('AAPL', 'BRK-B' or 'BRK.B'), company-name fragment ('Berkshire'), or CIK number ('320193') - limit: max results, 1-50 (default 10) Returns: {count, companies: [{cik, ticker, title}]} ranked exact-ticker > exact-name > prefix > substring. Examples: - "find Apple's CIK" -> {query: 'AAPL'} - "companies named Berkshire" -> {query: 'Berkshire', limit: 5} Use when: you need a CIK or to disambiguate a company name before calling get_edgar_financials/filings/insider_trades (those also accept tickers directly, so for an exact ticker you can skip this step). Don't use for: Korean companies (use search_dart_company) or private companies not registered with the SEC. Errors: no match -> error suggesting a shorter name fragment; only SEC registrants with a listed ticker are searchable.
    ConnectorAPI key
  • Anything about a city council, mayor, ordinance, zoning case, development permit, meeting agenda, or municipal budget. Combined keyword search across public city-government meeting transcripts AND meeting documents (agendas, minutes, packets, ordinances). Returns results with opaque ids — pass an id to the fetch tool for the full transcript or document text. OpenCity URLs in the query are understood as scope, not text: a city site (taylorsville.openutah.org) narrows to that city, a state site (utahrecord.org, myopentexas.org) narrows to that state, and a full meeting URL resolves to that exact meeting. A bare URL with no other words returns that scope's most recent activity. WHEN: General civic questions ('what has the city said about X?') from clients that auto-route through search/fetch (e.g. ChatGPT connectors), and whenever the user pastes an opencity/openutah/opentexas-style URL. WHEN NOT: If search_meetings / search_documents / list_officials are available to you, prefer them — they take filters (city, meeting type, doc type) and return structured fields this tool flattens away. EXAMPLES: { "query": "short-term rental ordinance" } { "query": "parking taylorsville.openutah.org" } — 'parking', scoped to Taylorsville { "query": "utahrecord.org" } — recent activity across Utah cities Empty results mean no records matched the query — never interpret them as missing access or permissions; retry with broader keywords instead.
    ConnectorAPI key
  • Find Taiwan stocks and ETFs listed on TWSE or TPEx (still trading) by code, Chinese short or full name, or English name; start here to get the `code` every other tw_ tool takes (TSMC is 2330). Matching runs in tiers: exact code, code prefix, exact short name, short name prefix, short name contains, then full name or English names contain (queries of at least 2 characters); within a tier companies come before ETFs and other securities, then larger market caps first. 2330.TW and 2330.TWO are read as the code. Each result has code, name and full_name (Traditional Chinese), name_en, market (TWSE or TPEx), kind (stock, etf, other) and url. Follow up with tw_get_stock. Taiwan stocks are separate from the US tools (search, get_stock); TSMC's US ADR is TSM there. Taiwan conventions: money is in New Taiwan dollars (currency TWD), share counts are in shares (1 lot = 1,000 shares), prices are in TWD and fields ending in _pct are percentages (12.5 means 12.5%). market is TWSE (listed) or TPEx (OTC). Names are in Traditional Chinese, with name_en where available. url links to tw.livermore.club, whose pages are in Traditional Chinese only. Keep `attribution` when you present the data: Taiwan's Open Government Data License requires naming its sources, and fields listed in computed_by_livermore are Livermore's calculations, not official figures.
    ConnectorOAuth
  • Taiwan companies listed on TWSE or TPEx and still trading (or ETFs with industry=etf), filtered by market and TWSE/TPEx industry code, sorted by market cap (default, largest first) or code, 100 per page. Each row has code, name (Traditional Chinese), market, industry, the latest close and change, the published P/E, and market_cap (the latest close times shares issued, calculated by Livermore) with url. `industries` lists every industry code with its Chinese name and number of companies, and etf_count the number of ETFs, so a first call without industry shows the codes (24 is semiconductors). An unknown industry code returns an error. Rows have no English names: use tw_get_stock for name_en and the full profile. Taiwan conventions: money is in New Taiwan dollars (currency TWD), share counts are in shares (1 lot = 1,000 shares), prices are in TWD and fields ending in _pct are percentages (12.5 means 12.5%). market is TWSE (listed) or TPEx (OTC). Names are in Traditional Chinese, with name_en where available. url links to tw.livermore.club, whose pages are in Traditional Chinese only. Keep `attribution` when you present the data: Taiwan's Open Government Data License requires naming its sources, and fields listed in computed_by_livermore are Livermore's calculations, not official figures.
    ConnectorOAuth
  • Find Taiwan stocks and ETFs listed on TWSE or TPEx (still trading) by code, Chinese short or full name, or English name; start here to get the `code` every other tw_ tool takes (TSMC is 2330). Matching runs in tiers: exact code, code prefix, exact short name, short name prefix, short name contains, then full name or English names contain (queries of at least 2 characters); within a tier companies come before ETFs and other securities, then larger market caps first. 2330.TW and 2330.TWO are read as the code. Each result has code, name and full_name (Traditional Chinese), name_en, market (TWSE or TPEx), kind (stock, etf, other) and url. Follow up with tw_get_stock. Taiwan stocks are separate from the US tools (search, get_stock); TSMC's US ADR is TSM there. Taiwan conventions: money is in New Taiwan dollars (currency TWD), share counts are in shares (1 lot = 1,000 shares), prices are in TWD and fields ending in _pct are percentages (12.5 means 12.5%). market is TWSE (listed) or TPEx (OTC). Names are in Traditional Chinese, with name_en where available. url links to tw.livermore.club, whose pages are in Traditional Chinese only. Keep `attribution` when you present the data: Taiwan's Open Government Data License requires naming its sources, and fields listed in computed_by_livermore are Livermore's calculations, not official figures.
    ConnectorNo auth
  • Taiwan companies listed on TWSE or TPEx and still trading (or ETFs with industry=etf), filtered by market and TWSE/TPEx industry code, sorted by market cap (default, largest first) or code, 100 per page. Each row has code, name (Traditional Chinese), market, industry, the latest close and change, the published P/E, and market_cap (the latest close times shares issued, calculated by Livermore) with url. `industries` lists every industry code with its Chinese name and number of companies, and etf_count the number of ETFs, so a first call without industry shows the codes (24 is semiconductors). An unknown industry code returns an error. Rows have no English names: use tw_get_stock for name_en and the full profile. Taiwan conventions: money is in New Taiwan dollars (currency TWD), share counts are in shares (1 lot = 1,000 shares), prices are in TWD and fields ending in _pct are percentages (12.5 means 12.5%). market is TWSE (listed) or TPEx (OTC). Names are in Traditional Chinese, with name_en where available. url links to tw.livermore.club, whose pages are in Traditional Chinese only. Keep `attribution` when you present the data: Taiwan's Open Government Data License requires naming its sources, and fields listed in computed_by_livermore are Livermore's calculations, not official figures.
    ConnectorNo auth
  • Start a paid job billed to the user's Desearch balance: find people on X, YouTube, LinkedIn, or TikTok who match a plain-language description. Returns a task_id at once, with the task's status and reserved_cost_usd. Cost: the call reserves count times the platform's per-person price at the time of the call (reserved_cost_usd; prices at https://desearch.ai/pricing). When the search ends you pay only for the people it delivered (final_cost_usd; a per-search minimum applies when it finds anyone; a search that finds no one is free) and the rest of the reservation is returned. Data: each person comes back with a fit score, why they matched, their audience, and only the contacts and links they list publicly. Desearch reads public data only. X: public posts and public profile fields (bio, followers, website, location). YouTube: public channel pages (About section, subscribers, country, links) and the creator's own website for publicly listed contact details. LinkedIn: public posts and public profiles (headline, company, location, followers, about). TikTok: public videos and public profiles (bio, followers, likes, latest videos, a public email listed in the bio). People found stay readable for 30 days after the search ends. The search runs in the background, usually for 1 to 5 minutes: poll people-search-status with the task_id to read progress and the people found so far, and use people-search-pause, people-search-resume, or people-search-cancel to pause, resume, or cancel it. Do not start the same search twice; send idempotency_key so a retry returns the first task instead of charging again. Filters depend on the platform. x: min_followers, max_followers, verified_only, countries, keywords, exclude_keywords. youtube: min_subscribers, max_subscribers, countries, require_contact, keywords, exclude_keywords. linkedin: min_followers, max_followers, countries, keywords, exclude_keywords. tiktok: min_followers, max_followers, require_contact, keywords, exclude_keywords.
    ConnectorNo auth
  • Your People Search tasks, newest first, with status, counts, cost, why each ended search stopped (completion_reason, coverage_limited), and the metadata labels set on people-search. Free; it lists your own tasks, not the people they found (read those with people-search-status or people-profiles). Use it to find a task_id (filter by metadata to find the searches of one campaign), or to see which searches are still queued, running, or paused: a new search is refused while too many are active.
    ConnectorNo auth
  • Search live hotel and accommodation listings by name or free text, aggregated via trivago's metasearch of major booking sites. Returns results with price, rating, amenities, and a link per property. Supports date range, guest/room configuration, and filters for star rating, guest rating, amenities, and price range. Use it ONLY when the user asks about one specific property by name, or for a region or country too large fora single point. For a city, neighborhood or landmark, call trivago-accommodation-radius-search with that place's coordinates instead: it returns far more options.
    ConnectorNo auth
  • Start a paid job billed to the user's Desearch balance: find companies on the web that match a plain-language description, and collect each one's public contact data. Returns a task_id at once, with the task's status and reserved_cost_usd. Cost: the call reserves count companies at the Company Search per-company price at the time of the call (reserved_cost_usd; prices at https://desearch.ai/pricing). When the task ends you pay only for the companies it delivered (final_cost_usd; a minimum of 2 when it delivers any; a task that delivers none is free) and the rest of the reservation is returned. A company left out by min_score or require is not billed. Each company has a fit score (0-100) and why it matched, plus fully_verified and unverified_criteria (what its own pages do and do not confirm). Data: Desearch reads public data only: each company's own website (its homepage and its contact, about, team, and imprint pages), public web search results, and public LinkedIn profiles of its leaders. Each company comes back with its location, public emails, phones, and social profiles, and its leaders (roles) with their title, LinkedIn profile, and emails. Every contact keeps the page it came from (source_url). Leader emails can be inferred from the company's address pattern (source: inferred, with a confidence), and every email is checked (verification: valid, invalid, risky, or unknown). Companies stay readable for 30 days after the task ends. The task runs in the background: poll company-search-status with the task_id to read progress and the companies delivered so far. Each company is delivered first with enrichment status partial, and the later stages (contact pages, leaders, inferred emails, email checks) fill it in until it is complete. Use company-search-pause, company-search-resume, or company-search-cancel to pause, resume, or cancel it. Do not start the same task twice; send idempotency_key so a retry returns the first task instead of charging again. To read companies you already know by domain, use company-enrich instead.
    ConnectorNo auth
  • Find businesses listed on BOP in Taiwan (personal trainers and coaches, gyms, group-class studios, saunas, recovery services) by keyword and/or category, with a few of their services and prices. Use this when the user wants to find a coach, gym, class or studio in Taiwan, or wants to book or check times but has not named a business, e.g. 「幫我找台北的健身教練」 or 「週日想上重訓課」. keyword takes place and class words in Chinese or English (business name, city or district, type of class); booking and time words such as 訂、預約、週日 are ignored, so check times with get_availability. Returns up to 10 businesses. If nothing matches the keyword, it returns the listed businesses anyway with matched: false. Read-only.
    ConnectorNo auth
  • Keyword search WITHIN a single episode's transcript. Returns matching chunks with surrounding context. Use instead of get_transcription when the user asked about a specific topic — server does this faster + cheaper on context.
    ConnectorNo auth
  • Search everything this person has in formset — form titles, descriptions, question labels, and the answers people have submitted. Use it to find something by name or by what it contains when you do not already have an id: "the trip poll", "whoever mentioned Tahoe", "the form asking about budgets". Returns a list of matches, each with an id you can pass to fetch for the full detail. If you already have a form id, call get_form or get_response_stats directly instead — they are more precise. Example: { query: "Tahoe" }
    ConnectorOAuth
  • Search recent news coverage from Chinese, Hong Kong, Taiwanese and overseas-Chinese publishers — Xinhua, China Daily, Global Times, People's Daily, South China Morning Post, CNA Taiwan, CGTN, Caixin and 20 more — by keyword, publisher, jurisdiction, language and date. Returns headline, publisher, URL, publication time, GDELT themes and average article tone for each match. Use it to see how mainland state media, Hong Kong and Taiwanese outlets are covering a topic, and how that differs. Article metadata only, from the GDELT Global Knowledge Graph: there is no article text — follow the url. Covers a rolling 30-day window. Call china_news_outlets to see exactly which publishers are searchable.
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  • Summary of live flight activity over a named region — aircraft count, country-of-registration breakdown, average altitude, and airborne vs on-ground split. Built for "is this airspace still operating" questions (airspace closures, conflict zones, strait and corridor traffic). Keyless. Supported regions: Iran, Israel, Syria, Ukraine, Russia, Taiwan, North Korea, South China Sea, Yemen, Strait of Hormuz, Taiwan Strait, Red Sea, Saudi Arabia, Gulf of Aden, Lebanon.
    ConnectorNo auth