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774,189 tools. Updated 2026-11-13 00:28

"Information about 小程序 (Mini Programs)" matching MCP tools:

  • 查询软件定制开发服务类目、报价区间与交付周期:微信小程序、企业官网、H5宣传页、OA/ERP管理系统、数据平台等。适合"开发一个微信小程序什么价位""企业官网定制服务内容""H5制作交付周期"等问法。
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  • Transfer partner map. Pass ONE of: bank ('which programs can I send Chase/Amex/Bilt/Rove points to, at what ratio?'), program ('which banks feed Flying Blue and which airlines can it book?'), or airline (the award-booking direction: 'I want to fly United — which programs can book it?'). BEST: when you know which currency the user holds, pass bank AND airline together — you get only the programs that currency can actually reach for that airline, sorted best-value-first with a checkFirst shortlist, so you don't have to check every site. Includes alliances and per-program point valuations.
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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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  • How the SPX dealer-positioning levels MOVED across recent finished sessions: the zero-gamma flip, call wall and put wall day by day, each session's change from the one before, and summary statistics for the window (flip range, net drift, mean daily movement, how often price closed above the flip). Use when: the question is about a trend or a window — has the flip been climbing, how far does it travel in a week — instead of calling get_levels once per day. Not for: one day (get_levels / get_session) or anything inside a session (get_gex_profile). ES: pass symbol ES (or MES) for the same series in E-mini prices, each session moved by its own ES basis. Limits: finished sessions only, max 40 per call; days absent from the archive are reported in `missing`, never interpolated. Measurements only — no buy/sell signals, no forecast.
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  • 分包機會:大型企業得標後,決標公告會登記「預估分包予中小企業之金額」(採購法第 67 條允許分包,第 65 條禁止轉包)。 中小企業可以用來找上游:哪些大廠剛標到大案、預計要分多少出來,附得標廠商在決標公告登記的電話地址。 mode="list"(預設):有預估分包的決標案,q 比對案名/機關/得標廠商(空白=且、OR=或、-詞=排除),region 縣市、 category 工程類/財物類/勞務類,sort=date(新到舊)/amount(分包金額)/rate(分包比例)。 mode="leaders":常分包的大廠排行(期間內預估分包總額);mode="units":大廠得標案分包最多的機關; mode="vendor":一家廠商(vendor 給正式全名)的分包紀錄。days 期間,預設 365。 注意:這是決標時的預估值,實際分包以契約為準;只記大型企業分給中小企業的部分。
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  • 登录/主办方;先list_activity_materials,再提供这场全部资料ids的完整新顺序并确认,按数组从0写sortOrder。漏项会撞序号;外场id静默忽略,须核对返回完整列表。只排序,改名/可见性update_activity_material。
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Matching MCP Servers

  • A
    license
    A
    quality
    D
    maintenance
    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
    6
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables searching and retrieving public vulnerability reward program directory data across Bugcrowd, YesWeHack, and HackerOne, including bounty ranges, scope assets, launch dates, and wildcard eligibility.
    273 npm
    MIT

Matching MCP Connectors

  • 按搜索词搜索小红书图片;已有笔记链接或 note_id,且需要读取该篇笔记详情时,使用对应详情工具。每项为一张图片及关联笔记,同一笔记可返回多张图片;page_token 可用于尝试下一页,不保证下一页有结果;结果按平台相关性排序,不承诺每条内容包含原词,不承诺完整召回;需要图文笔记而非单张图片时使用 xhs_search_notes(note_type="image");需要视频笔记时使用 xhs_search_notes(note_type="video")。
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  • Use this when a user gives their SSC (matric), HSSC Part-I (FSc first year) and entry test (ECAT/TCAT) marks and wants their UET Taxila merit aggregate, eligibility, or which programs they might get. Applies the official 17% SSC + 50% HSSC Part-I + 33% entry test formula. Ask for any missing marks; never guess them. BS Mathematics and BS Physics have no entry test and use 30% SSC + 70% HSSC Part-I (basicSciencesAggregate); for those alone, pass 0 entry test marks if the user took no test. Returns aggregate and basicSciencesAggregate as percentages rounded to 3 decimals, the weighted components, HSSC percent, eligibility flags, and programs whose latest Category A closing merit is at or below the score (a past comparison, not an admission prediction). Marks above their total are capped at the total, so pass the real totals (for example hsscTotal 1100 for a DAE total) and confirm unusual inputs with the user. If the user gives full FSc marks out of 1100, ask for their Part-I marks instead. Deterministic and read-only. Do not use it for other universities' formulas.
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  • Semantic passage search over a neural embedding index: describe what you are looking for in natural language and get the closest passages, each with a permanent chunk_id, book/chapter/paragraph, citation, license and source URL. When to use: keyword/BM25 search misses paraphrases or themes ("a story about a soldier returning from war", "清代公案小说里的侠客"). Do not use: to verify an exact quotation (cyberlibrary_verify_quote) or to read a whole book (cyberlibrary_get_chunks). Falls back to BM25 if the embedding service is down. Returns: {query, lang, backend, total_vectors, corpus_version, results[{chunk_id, score, title, author, chapter, para, citation, url, license, snippet}]}.
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  • 按发音匹配候选姓氏:源姓必须是 Latin 拼音/英文拼写,匹配前会 trim、lowercase 并折叠常见拉丁变体;按 pinyin_exact / romanization_exact / phonetic_close 排序,无匹配时按百家姓顺序回退。max_candidates 是硬上限。仅处理姓氏;取字池用 naming_pick,整名评估用 naming_check。
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  • Screen a name against the five official sanctions lists (EU, US OFAC SDN, UN, UK FCDO, French asset freezes) from a snapshot refreshed daily, with per-list dates. Query: name=NAME (optional threshold=0.6-1.0, lists=eu,ofac,un,uk,fr). Returns scored matches with entity type and programs, and a verdict: match, possible_match or no_match. Price: $0.01 USDC per call (x402).
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  • Screen a name against the five official sanctions lists (EU, US OFAC SDN, UN, UK FCDO, French asset freezes) from a snapshot refreshed daily, with per-list dates. Query: name=NAME (optional threshold=0.6-1.0, lists=eu,ofac,un,uk,fr). Returns scored matches with entity type and programs, and a verdict: match, possible_match or no_match. Price: $0.01 USDC per call (x402).
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  • Resolve what a person describes into AcuiQ symptom names – the first step before search_protocols. Plain description works ("trouble sleeping", "my lower back hurts"): filler words are stripped and the search retries on the clinical words, reporting which term matched. Set popular=true for trending symptoms instead. Always returns an object with a `symptoms` array, empty when nothing matched. When the symptom is covered by a $5 mini-guide, the result carries a `guide` pointer – mention it only if the person wants something to follow away from a screen, then call create_checkout with that `product` id.
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  • Search for upcoming public PGA Coach programs (clinics, camps, classes, and other group events) near a location (required). Use this tool when the user asks to find programs, clinics, camps, classes, or group events — not private one-on-one lessons. For private lesson coaches, use `search_golf_coaches` instead. Internal record identifiers (for example program `id` and coach `slug`) are for tool calls only and must never be shown or mentioned to the user. - Search results include program details plus the hosting coach and facility for each program. - The response also includes top-level `coaches` and `facilities` arrays summarizing the unique coaches and venues in the result set — always present those to the user. - Results are ordered by program start instant and filtered to the requested radius. - Discovery uses nearby PGA Coach profiles (nearest 20 in the radius), then loads up to 30 upcoming public programs per coach in a 180-day window in one batched GraphQL request. Facility coordinates still have to fall inside the radius. - Results are paginated. The pagination cursor carries the remaining nearby programs so additional pages do not repeat GraphQL discovery. Reuse that cursor with the original location and radius. - Direct golfers to the program URL to view details and register. Coach profile and booking URLs are also included when the golfer wants to learn more about the coach.
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  • Retrieve a single structured overview of how the VA Heroes PH program works: the training Hero Paths, the separate sales (Loan Officer) path, the published community impact statistics, and the page where candidates apply. Use it when a visitor asks broadly what VA Heroes PH offers, how the training works, or how to get started, instead of asking about one specific track. Requires no input. Returns { applicationUrl, trainingPrograms[], salesPrograms[], impactStats[] }, where each program carries slug, name, tagline, description, highlights, featured and url. It does NOT expose pricing, class schedules, enrolment status, batch dates or any applicant data — programs in this project are the Hero Paths and no separate course catalogue exists.
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  • 匿名读43位token或分享链接的冻结方案快照,不记访问、不通知作者;无联系方式/引用/附件,后续编辑不更新此快照。失效或作者注销即拒,不改大小写重试。留档用redeem_cooperation_share(写兑换记录),表达意向另经授权用send_cooperation_interest。
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  • 【需要登录·主办方】改邀请函content仅给定键,null清空;salutations称呼、agenda流程、hosts单位、contacts联系人(无邮箱)、closing结语。style=OFFICIAL/BUSINESS/COMMUNITY,null自动。get_activity_letter取version→本工具→render_activity_letter。仅写用户事实;落款只主办本人/组织,第三方写hosts。
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  • Use this when you hold a Clickwise affiliate API key and need the programs that key is approved to promote, with link readiness and your existing link count; set include_available to add the ones you can apply to. For discovery without an account use find_affiliate_programs or list_programs. Requires your own Clickwise affiliate API key on the MCP connection (X-API-Key header or Authorization: Bearer); acts only on your account.
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  • Returns SEC Form 1-A filings — Regulation A+ 'mini-IPO' offering statements, 2015-06→present: companies raising up to $20M (Tier 1) or $75M (Tier 2) from the public without a full IPO. One record per filing with the issuer (SIC code, jurisdiction, year incorporated, employees, city/state), tier election, offering terms (security types, count, price, total aggregate amount, estimated net), service providers WITH FEES (underwriter, sales commissions, auditor, legal), and the issuer's summary financials from Part I (cash, assets, liabilities, equity, revenues, net income). Use this when the user asks about: Reg A / Reg A+ raises, mini-IPOs, small- cap capital formation, who's underwriting or auditing small offerings, or issuer financials before a raise. form family: '1-A' initial | '1-A/A' amendment | '1-A POS' post-qualification amendment (is_post_qualification) | -W withdrawals (is_withdrawal, metadata-level). One offering typically chains 1-A → 1-A/A… → qualification → 1-A POS updates — filter cik + sort asc to read it. Coverage (honest): the offering-statement family only. The Reg A+ periodic reports — 1-K annual (with actual proceeds raised), 1-SA semiannual, 1-Z exit — use different schemas and are a planned separate dataset. Offering circulars (253G) are prose documents — follow filing_index_url. Pure-publisher posture: issuer-reported Part I numbers as filed, parsed by KeyVex.
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  • Use this when the user has seen a program preview and clearly said to save it. It saves that preview to the connected Phorme account as a private program and returns a link that opens it in Phorme. It needs a connected Phorme account with the training:write permission and a Phorme membership that already includes programs. If the account does not have that membership the tool says so and saves nothing. It never starts a purchase. Retrying with the same idempotency_key does not create a second copy.
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  • At the START of an engagement on a bug-bounty PROGRAM, get a grounded prior over what bug classes have historically LANDED there — to decide what to look at first and what to skip. Built from real HackerOne disclosed reports: the class distribution for this program, each with LIFT over the global base-rate, sample size, and cited example reports; plus `lands_rarely` — the classes that land broadly across programs but almost never here (where NOT to spend the first hour). DESCRIPTIVE, not predictive: it reports what *landed*, never claims what you *will* find. It's a disclosure-selected sample, HackerOne-only (~379 programs with public disclosures), models bug-class not payout, and withholds a prior when the program has too few reports (an anecdote isn't a distribution). Pass a program handle or name, e.g. "gitlab", "shopify". Complements find_attack_approaches (mechanism transfer) and hunt_plan (CVE dig-order) — this is the minute-zero "where to start" prior an agent has no tacit target knowledge to form on its own.
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