"Search for information about 可灵" matching MCP tools:

• searchA

  UseMyContext.aiA

  Search the user's files by filename and return matching documents in the deep-research result shape. ALIAS: this is the SAME search as search_files (same data, same permissions) - use it when your client requires the id/title/url search contract (ChatGPT deep research); otherwise prefer search_files for richer file metadata. Each result's id can be passed to fetch (or get_file) to read that document. Read-only; nothing is written, so it is safe to call.

  ConnectorNo auth

• searchA

  JobYap Job SearchA

  Search JobYap job postings by natural-language query. Matches job titles, falling back to significant keywords when the full phrase finds little. Returns result ids, titles and citable URLs for use with fetch. For structured filtering (location, company, remote, freshness) prefer search_jobs.

  ConnectorNo auth

• decide_regular_remuneration_batchA

  日本の給与・社会保険・労働法A

  Runs the annual 定時決定 for a whole payroll in one call, and reports which employees moved grade. 健康保険法第41条 puts every insured employee on the same schedule — the average of April, May and June pay, over the months with at least seventeen payment-basis days, applied from September to the following August. So June is the one month of the year when an office decides its entire payroll at once, and asking about one employee at a time is the wrong shape for the task. Reach for this the moment more than a couple of employees are in play. Each row returns the same judgement as decide_regular_remuneration, plus whether that person changed grade, which is what decides how much filing there is. Pass previous_remuneration to get that comparison; without it the answer is null rather than false, because "no grade to compare" and "did not move" are different facts. Pass acquired_on, left_on or revision_month and each row also says whether that employee is filed at all. 健康保険法第41条 leaves out anyone insured between 1 June and 1 July, anyone gone before the 1 July reference date, and anyone revised from July to September. The run totals to_file and not_required, which is the number of forms rather than the number of employees. A row that cannot be decided is returned in errors with its index and id, and the rest of the run still completes — do not discard a whole run over one bad row.

  ConnectorNo auth

• judge_worker_typeA

  日本の給与・社会保険・労働法A

  Decides whether someone is covered by health and pension insurance, and on which payment-basis day count their annual determination runs. Call this before decide_regular_remuneration or judge_monthly_revision whenever the person is anything other than plainly full-time. Those tools take a worker_type, and guessing it changes a real number: the determination counts months of seventeen payment-basis days for an ordinary employee and eleven for a 短時間労働者. Get the classification wrong and the answer is wrong with no sign of it. 健康保険法第3条第1項第9号 covers anyone whose weekly hours and monthly days reach three-quarters of a comparable full-time worker. Below that, four further tests decide it: twenty hours a week, 88,000 yen a month, not a student, and a workplace of at least fifty-one insured people. The engagement must also be expected to run past two months. The 88,000 figure leaves out overtime, bonuses, commuting and family allowances. Folding those in is the usual route to a wrong answer, so ask for 所定内賃金 specifically rather than total pay. What counts as a comparable full-time worker, and whether someone is a student for this purpose, are facts about the workplace and the person. Ask rather than assume; the tool applies the tests to what you pass and names any it could not evaluate.

  ConnectorNo auth

• get_statute_textA

  日本の給与・社会保険・労働法A

  Returns the full text of a Japanese statutory provision, as published by e-Gov. The judgement tools name the statute or notice their answer rests on, but not its words. Use this to quote the provision itself — a citation the reader can check beats a citation they have to take on trust, and Japanese payroll advice is routinely wrong in ways that only reading the article reveals. Only the provisions this API cites are bundled (about 28 across 8 laws); call it with no ref to list them. Abbreviations as practitioners write them (健保法43条, 厚年法81条の2, 徴収法11条), a missing 第, and paragraph-level references all resolve to the article. For anything outside this set, say so rather than reciting it from memory.

  ConnectorNo auth

• delete_needA

  独行录 / opcmenuB

  【需要登录】确认后硬删本人需求及全部接洽，不可恢复。cancel_need保留记录；unpublish_need可逆下架。非本人403 not_your_need。

  ConnectorNo auth

• whoamiA

  Knowledge for AgentsA

  Check this connection's authenticated contributor identity, operator boundary, scopes, expiry and write_epoch before a contribution, or when explicitly asked about connection identity. Not required for anonymous search or fetch. Read-only; returns authenticated:false without a valid credential. Same-operator agents are not independent reproductions.

  ConnectorNo auth

• add_keywordsA

  GetCitedA

  Starts tracking search `terms` for a project and returns `added`, the number of new keywords. Pass terms as an array of plain search phrases (terms: ["seo tool", "rank tracker"]) with the projectId from add_project or list_projects. Terms are lowercased, and one already tracked is skipped, so calling again is safe. Adding measures no rank: call check_rankings for positions. Search volume and difficulty arrive within about ten minutes, looked up in one request pooled with other keywords, costing one keyword_lookups unit per keyword; read them with list_keywords.

  ConnectorNo auth

• reddit_search_postsA

  Manifold MCPA

  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

• reddit_search_subredditsA

  Manifold MCPA

  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

• semantic_search_referencesA

  Islam West Africa Collection (IWAC)A

  Semantic search over academic references by title + abstract, across languages. Only references with an abstract (about half) are covered; use search_references for the rest. Runs the corpus model, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarity_score only ranks within one query.

  ConnectorNo auth

• TH_parcel_searchA

  Thailand Land Parcels, Public Land & Zoning (ที่ดินและผังเมืองรวม)A

  Find Thai land parcels and public land (DOL LandsMaps) at a location, or public land by its NSL certificate id. query takes coordinates as 'latitude, longitude' (e.g. 13.8231, 100.5100), or an NSL id (province abbreviation + number, e.g. UB5004). With coordinates it returns parcels and public land containing the point (distance 0), then the nearest within `radius` metres, closest first. To search an address, geocode it first; a radius of 25–100 m helps with geocoded points. Parcels have id (DOL's parcel_seq, or survey sheet and parcel number), landNo (survey sheet number, not the deed number), area (m², from the outline) and bbox; parcels are loaded for some areas only. Public land has id, nslId, name (holder and use, in Thai), area (m²), province and provinceName, and bbox. There is no search by deed number or owner: the public data has neither. Use TH_parcel_get or TH_public_land_get with an id for zoning and the boundary.

  ConnectorOAuth

• get_sub_domainsA

  AnySearchA

  This is Anysearch's domain discovery tool. IMPORTANT: Step 1 of vertical search. REQUIRED before any search that uses a domain. Returns valid sub_domains and sub_domain_params for the specified domain(s). Call this when the query targets a specialized vertical or needs structured parameters: stock prices, financial data, academic papers, legal cases, medical/drug info, flight status, weather, exchange rates, geographic POIs, code repositories, or any domain where a structured identifier (ticker, DOI, CVE, IATA, coordinates) is involved. ## When to call — pick the domain(s) that match what the user is asking about: academic agriculture business code energy environment film finance gaming health ip legal resource security social_media travel ## Input — choose from the list above and pass via the domain or domains parameter: - domain: single domain string (use only when 100% certain the query is single-domain) - domains: batch query for up to 5 domains in one call (takes priority over domain) 🏆 ALWAYS prefer the `domains` (plural, array) parameter. Pass ALL potentially relevant domains at once — even for seemingly single-domain queries, consider related domains: - Query about "cryptocurrency regulations" → domains=["finance", "legal", "security"] - Query about "best gaming laptops" → domains=["gaming", "tech", "ecommerce"] - Query about "climate change impact on agriculture" → domains=["environment", "energy", "academic"] ## Returns Markdown table filtered to the specified domains: sub_domain | description | params ## CRITICAL: How to use results - sub_domain is the PRIMARY routing key — always pass it to search - params column shows available structured parameters — pass them via sub_domain_params in search, NEVER embed in query - If multiple sub_domains returned (especially from multiple domains), use batch_search — one query per sub_domain — instead of multiple sequential search calls - Params marked (required) in the output MUST be passed when using that sub_domain in search. If a required param is not applicable to your query, pass it as an empty string (key: "") — do not skip it.

  Connector

  Destructive

  No auth

• search-music-docsA

  Music StudioA

  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

• searchA

  Vascue Public Knowledge SearchA

  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

• searchA

  Vascue Public Knowledge SearchA

  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

• judge_annual_averageA

  日本の給与・社会保険・労働法A

  For work whose April-June happens to be its busiest or quietest quarter, where the ordinary calculation would fix a grade that is wrong for eleven months of the year. Available for 定時決定 (since April 2011) and 随時改定 (since October 2018). The 随時改定 figure is NOT a plain twelve-month average: it is the three-month average of FIXED pay plus the twelve-month average of NON-FIXED pay, so the two are supplied separately, and three distinct grade tests must all pass. Both routes need the employee's consent and require that the swing recurs every year for reasons inherent to the work — a one-off busy period does not qualify. Neither is something this tool can verify, so both are declared inputs and are echoed back in the response.

  ConnectorNo auth

• judge_annual_leaveA

  日本の給与・社会保険・労働法A

  Works out how many days of paid leave someone has been granted, and whether the employer still owes the five days it must direct. 労働基準法第39条 grants ten working days once six months of service are complete and attendance reaches eighty per cent of all working days, then adds one, two, four, six, eight and ten days in the years that follow. The ceiling everyone quotes as twenty is not in the article: it is the ten of the first grant plus the ten added from the sixth year. Someone under thirty hours a week working four days or fewer takes a smaller table from 施行規則第24条の3. Thirty hours is where it turns — at or above it the ordinary grant applies no matter how few days are worked, and treating such a person as part-time under-grants them. Ask for both the weekly days and the weekly hours; one without the other cannot settle it. Where ten or more days are granted, 第39条第7項 requires the employer to fix the timing of five of them within the year, and days the employee took of their own accord count toward it. A grant lapses two years after it is made (第115条), so one year carries over. The attendance figure is a question about the workplace: leave for a work injury, maternity, childcare and paid leave already taken all count as attendance. Ask for a rate that has been worked out rather than dividing days present by days in the year. Without one the tool reports the eighty per cent test as not judged rather than assuming it passed.

  ConnectorNo auth

• commuting_allowance_exemptionA

  日本の給与・社会保険・労働法A

  Works out how much of a commuting allowance escapes income tax, and states the amount that still counts as remuneration for social insurance. These are two different bases, and that asymmetry is the part people get wrong. Social insurance counts a commuting allowance in full — it is 報酬 under 健康保険法第3条第5項 regardless of the tax treatment — while income tax is charged only on what exceeds the ceiling. So a 15,000 yen allowance on a 300,000 yen salary makes the standard-remuneration basis 315,000 and the taxable pay 300,000. Never answer with a single figure that is meant to serve both. The ceiling is 150,000 a month for public transport. For a car or bicycle it is set by one-way distance, with nothing exempt under two kilometres, and up to 5,000 more a month when the employee pays for parking. Using both adds them together, still capped at 150,000. Do not answer this from memory. The table moved twice in twelve months: a cabinet order promulgated 19 November 2025 raised every band over ten kilometres and applied retroactively to allowances payable from 1 April 2025, and 1 April 2026 added four bands above 65km along with the parking addition. Figures learnt before those dates are wrong, and wrong in a direction that under-states the exempt amount. Call with no arguments to read the current table and both revisions.

  ConnectorNo auth

• search_peopleA

  独行录 / opcmenuB

  按canOffer语义+关键词找真人，已认领优先；手机号查询返回空保护隐私。登录可补云用户，仅send_cooperation_request人工转达，不可开聊。【组合链】get_creator→start_conversation/contact_need；找产品/需求分别用search_products/search_needs。

  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