1gateway

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

• Connection: Runs in the cloud
• Transport: Streamable HTTP
• Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

You need

• Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

https://1gateway.dev/mcp

claude mcp add --transport http 1gateway https://1gateway.dev/mcp

{
  "mcpServers": {
    "1gateway": {
      "url": "https://1gateway.dev/mcp"
    }
  }
}

{
  "servers": {
    "1gateway": {
      "type": "http",
      "url": "https://1gateway.dev/mcp"
    }
  }
}

https://1gateway.dev/mcp

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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 8, 2026. The maker wrote them, not us; we show them as plain text.

• kr_company_report

  Use when an agent needs an English due-diligence brief on a South Korean company. Input: business_number, dart_corp_code, stock_code or q (exact name); format=json|markdown; news=true|false. Output: JSON summary, business overview, annual financials (revenue, profit, debt, YoY),

• kr_apartment_trades

  Use when you need actual apartment sale prices in a South Korean district for a month (property research, valuation, comps). Data: MOLIT (Korea land ministry) reported deals since 2006, updated daily. Input: region (5-digit LAWD_CD, e.g. 11680 Gangnam-gu), month (YYYYMM). Output:

• kr_apartment_trades_summary

  Use when you need a quick housing-market snapshot for a South Korean district-month instead of raw trades. Data: MOLIT reported apartment sales, cancelled deals excluded. Input: region (5-digit LAWD_CD, e.g. 11680), month (YYYYMM). Output: JSON count, median/average/min/max price

• kr_bok_ecos_series

  Use when you need official Bank of Korea statistics (base rate, money supply, key indicators) as a time series. Input: stat (ECOS table code, e.g. 722Y001), cycle (A/S/Q/M/SM/D), start, end (period format of cycle), optional item (e.g. 0101000). Output: JSON series with English l

• kr_law

  Use when you need the official text of a South Korean statute, decree or rule, or one article of it. Statutes only: no court decisions or personal data. Input: q (statute name in Korean, e.g. 근로기준법) or mst (law serial no.), optional article (e.g. 2), limit (articles, 1-100, defau

• us_macro_series

  Use when you need a US macro time series (pairs with Korea's Bank of Korea series). Input: series (unemployment_rate, cpi, core_cpi, payrolls, avg_hourly_earnings, ppi, public_debt, avg_rate_bills, avg_rate_notes, avg_rate_bonds), optional start, end (years, max 10-year span, def

• macro_treasury_curve

  Use when an agent needs the official US Treasury par yield curve for a day or a recent stretch. Input: optional date (YYYY-MM-DD, default latest), days (1-366 history ending at date). Output: JSON yields per tenor (1m to 30y, percent), 2s10s and 3m10y spreads in bp, inversion fla

• travel_us_airports

  Use when an agent must know if a US airport has a ground stop, ground delay program, closure or arrival/departure delay right now. Input: optional airport (FAA/IATA 3-letter like JFK, or ICAO like KJFK); none = every affected airport. Output: JSON per airport flags, max delay min

• kr_weather_forecast

  Use when you need the official weather forecast for a point in South Korea for the next ~3-5 days. Data: KMA (Korea Meteorological Administration) village forecast on a 5 km grid, issued 8 times a day. Input: lat, lon (WGS84 decimal; Korea only). Output: JSON hourly then 3-hourly

• kr_public_holidays

  Use when you need South Korea's official public holidays for a year (business-day calculation, scheduling, settlement and payroll calendars). Data: KASI (Korea Astronomy and Space Science Institute) special-day register, incl. substitute and temporary holidays once promulgated. I

• kr_trade_exports_10day

  Use when you need South Korea's earliest export read: the Korea Customs 10-day provisional release (days 1-10, 1-20, full month; out on the 11th, 21st and 1st). Input: optional month (YYYYMM) and period (10, 20, full); default latest. Output: JSON exports in USD with YoY %, lates

• kr_trade_hs

  Use when you need South Korea's monthly trade for a product by HS code (e.g. 8542 chips, 870323 cars, 2710 petroleum). Data: Korea Customs Service, finalized monthly. Input: hs (2-10 digit prefix), optional month (YYYYMM, default latest), limit (1-100), sort (exports, imports, ba

• kr_trade_pulse

  Use when you need a one-call read on South Korea's export cycle for macro, FX or chip-sector analysis. Data: Korea Customs 10-day and monthly releases. Input: none. Output: JSON headline (latest exports and YoY, semiconductor share, strongest/weakest item and market, 3-month aver

• kr_company_resolve

  Use when an agent must identify a South Korean company before looking up its profile or public-procurement record. Input: one of business_number (10 digits), dart_corp_code, stock_code (KRX, e.g. 005930) or q (company name, exact match ignoring 주식회사/(주)/spacing); first wins. Outp

• kr_company_profile

  Use when an agent needs a normalized profile of a South Korean company for KYB, research or sales. Input: id (companyId from /v1/kr/company/resolve). Output: JSON profile: names, business/corporate/DART/stock ids, market, KSIC code, founding date, fiscal year end, address, homepa

• kr_company_procurement

  Use when an agent needs a South Korean company's government contract wins for sales, credit or competitor research. Input: id (companyId) or business_number; optional from/to (YYYY-MM-DD, max 366 days, default last 12 months), category (goods,works,services,foreign), min_amount,

• kr_business_status

  Use when an agent must check that a South Korean business is still operating before paying, contracting or onboarding it (KYB, invoice checks). Input: b_no (1-20 business registration numbers, comma-separated, hyphens ok). Output: JSON per number: status (active, suspended, close

• kr_address

  Use when an agent must normalize or translate a South Korean address (shipping, checkout, KYC forms). Input: q (Korean address or part of one, e.g. road name + number or neighborhood + lot number), optional limit (1-5). Output: JSON matches with official road-name and lot-number

• kr_filings

  Use when an agent needs recent material disclosures of a South Korean listed company (rights offerings, CBs, buybacks, M&A, litigation, earnings, periodic reports). Input: corp (DART corp_code, KRX stock code or kr-dart- id) or q (exact name), optional days (1-365, default 30); o

• kr_filing_summary

  Use when an agent needs a Korean corporate disclosure in English. Input: rcept_no (14-digit DART receipt number from /v1/kr/filings). Output: JSON with headline, what_happened, key_figures (amounts, ratios, share counts with units), parties, key_dates, why_it_matters, confidence,

• kr_supplier_check

  Use when an agent must vet a South Korean supplier or counterparty before paying, contracting or onboarding it. Input: one of business_number, dart_corp_code, stock_code or q (exact company name). Output: JSON summary (riskLevel, riskFlags such as closed/suspended or sanctions ma

• web_metadata

  Use when an agent needs to know what a URL is before reading it, or to build a link preview or citation. Input: url (public http/https). Output: JSON with final URL after redirects, HTTP status, content type, title, description, site name, language, canonical, preview image, favi

• domain_lookup

  Use when an agent must check a domain: does it resolve, who hosts its DNS and mail, is email authenticated, how old is it, when does it expire. Input: domain (e.g. example.com; URLs accepted). Output: JSON DNS records (A, AAAA, CNAME, MX, NS, TXT, CAA, SOA), mail provider, parsed

• fx_rates

  Use when you need an official daily FX rate or currency conversion (USD, EUR, KRW, JPY, CNY, GBP + 24 more). Input: base (default EUR), optional symbols (comma list), date (YYYY-MM-DD, last ~90 days; weekends use the prior fixing), amount. Output: JSON rates for the fixing date,

• fx_convert

  Use when you need to convert an amount between currencies (USD↔KRW, EUR→JPY, ...) at the official ECB reference rate, today or on a past date. Input: from, to (1–10 comma-separated), amount (default 1), optional date (YYYY-MM-DD since 1999-01-04; weekends use the prior fixing). O

• fx_history

  Use when you need a historical exchange-rate series or a period summary (e.g. USD/KRW over the last quarter). Input: symbols (1–10), base (default EUR), start and end (YYYY-MM-DD since 1999-01-04; default last 30 days; max 366 days). Output: JSON daily series of ECB fixings, and

• time_convert

  Use when scheduling across time zones or turning a local time into UTC without guessing DST. Input: to (IANA zones or KST, PST, CET...), optional from (zone of a local time, default UTC), time (ISO 8601, Unix seconds, or now). Output: JSON UTC instant, Unix time, and per zone: lo

• time_overlap

  Use when scheduling a meeting across time zones. Input: zones (2-10, IANA or KST/PST/CET), date, work_start/work_end (default 09:00-18:00), include_weekends. Output: JSON overlap windows in UTC and every zone's local time, top 3 one-hour slots ranked by distance from each zone's

• time_business_days

  Use when computing due dates, SLAs, settlement or delivery dates. Input: start date, then days (add -260..260 business days) or end (count business days between), optional country KR, US, GB, DE, FR or JP for public holidays (omit = weekends only). Output: JSON result date or bus

• site_profile

  Use when an agent must vet or research a website in one call (lead research, security or SEO check, is this site legit). Input: url or bare domain. Output: JSON page metadata, HTTP status, HTTPS and HTTP-to-HTTPS redirect, server and hosting hints, 7 security headers, robots.txt

• base_gas

  Use when an agent must price, time or route a transaction. Input: optional chain (base default, ethereum, arbitrum, monad, all). Output: JSON base fee, priority tiers (last 20 blocks), suggested maxFeePerGas, block fullness, typical cost of transfer, approve, DEX swap, mint, depl

• onchain_ens

  Use when an agent must send funds to an ENS name or label a wallet. Input: name (e.g. ens.eth, ENSIP-15 normalized) or address. Output: JSON resolve: address, resolver, avatar/url/description/twitter/github records, contenthash (name+address: matchesExpected); reverse: primary na

• defi_yields

  Use when an agent must compare lending yields on Base. Input: optional protocol (aave-v3,compound-v3,morpho,moonwell) and asset (USDC,WETH,cbBTC,wstETH,cbETH,EURC). Output: JSON per market supply/borrow APY, utilization, supplied/borrowed amount and TVL in USD, sorted by supply A

• weather_global

  Use when an agent needs the weather anywhere in the world. Input: lat, lon, optional hours (0-72 hourly steps, default 24), tz (IANA zone for daily summaries, default UTC). Output: JSON current temperature, symbol, wind, humidity, cloud, pressure; hourly series; daily min/max, pr

• package_vulnerabilities

  Use when an agent must check a dependency before installing or upgrading: is this exact package version vulnerable? Input: package, ecosystem (npm, PyPI, Go, Maven, crates.io, NuGet, RubyGems, Packagist...), version. Output: JSON vulnerable yes/no, counts by severity, advisories

• package_vulnerabilities_batch

  Use when an agent must scan a project's dependencies before install, upgrade or merge. Input: packages, up to 20 ecosystem:name@version, comma-separated (npm, pypi, go, cargo/crates.io, maven, nuget...). Output: JSON summary (vulnerable count, critical/high/moderate/low), per pac

• dev_package

  Use when an agent must decide whether to add or keep a dependency. Input: package, ecosystem (npm, PyPI, crates.io), optional version (default latest). Output: JSON flags (deprecated, yanked, outdated, vulnerable, no_license, no_release_2y), latest version, license, publish dates

• sanctions_screen

  Use when an agent must check a person, company, vessel or aircraft against the U.S. Treasury OFAC SDN list before paying, onboarding or shipping. Input: name (fuzzy, aliases included), optional type, min_score, limit. Output: JSON potential matches with score, SDN entry, programs

• kyb_check

  Use when an agent must vet a company or counterparty before paying, onboarding or invoicing. Input: name, optional country (ISO2), lei, vat (EU, with prefix). Output: JSON summary (sanctions hits, LEI found/status, VAT valid), sanctions matches across OFAC SDN, EU and UK lists, G

• stablecoin_freezes

  Use when an agent needs recent issuer freezes of USDC, EURC (Ethereum, Base) and USDT (Ethereum), or whether an address is frozen now. Input: optional address, days (1-7, default 1), chain (all, ethereum, base), token. Output: JSON events (token, chain, freeze/unfreeze/destroy_fu

• sanctions_address

  Use when an agent must check a crypto wallet against the digital currency addresses on the U.S. Treasury OFAC SDN list before paying or accepting funds. Input: address (EVM matched on every EVM chain; BTC, TRX, SOL...), optional chain. Output: JSON listed yes/no, SDN entry, progr

• sanctions_address_batch

  Use when an agent must screen many wallets at once (payouts, counterparty lists) against OFAC SDN wallet addresses. Input: addresses (1-50, comma-separated, mixed chains) or POST JSON {addresses:[...]}. Output: per address listed yes/no, detected chains, SDN entity, programs; sum

• sanctions_tx

  Use when an agent must check a transaction before accepting or relaying funds: screens its direct parties (sender, recipient, contracts, token Transfer parties on Base; accounts and token owners on Solana) against OFAC SDN wallet addresses. Input: tx, network (eip155:8453 default

• sec_filings

  Use when an agent needs a U.S. public company's SEC filings: latest 10-K/10-Q, 8-K events, proxies, S-1s. Input: ticker or cik, optional form (comma list, e.g. 10-K,8-K), since (YYYY-MM-DD), limit. Output: JSON company profile (CIK, name, industry, exchange, fiscal year end) and

• us_regs

  Use when an agent must track new U.S. rules, proposed rules, agency notices and fresh SEC disclosures. Input: optional q (topic), agency (Federal Register slug), doc_type, form (8-K, 13F-HR, NPORT-P...), source, days, limit. Output: JSON Federal Register documents (type, agencies

• web_search

  Use when an agent needs current web results for a query. Input: q, optional max (1-10, default 5), time_range (day, week, month, year). Output: JSON results with title, URL and date when known, provider and retrieval time. For page text use /v1/web/search-read. Provider failure i

• web_search_read

  Use when an agent needs to search and read in one call. Input: q, optional max (1-10, default 5), time_range (day, week, month, year). Output: JSON results (title, URL, date) and, for the top 3, the page converted to Markdown (up to 4,000 characters each; a page that fails is mar

• web_answer

  Use when an agent needs a sourced answer to a question from the live web in one call. Input: q (question), optional time_range (day, week, month, year). Output: JSON answer (English, inline [n] citations), citations [{url, title, quote}], confidence, notes, sources read. Searches

• ai_image

  Use when an agent needs an image from a text prompt. Input: prompt (max 1000 chars), optional steps (1-8, default 4). Output: JSON with a 1024x1024 JPEG (base64), steps, model, safety verdicts. Prompt screened by blocklist + Llama Guard 3, image by a vision check; sexual, minor,

• ai_tts

  Use when an agent needs spoken audio from short text (voice reply, narration, accessibility). Input: text (max 500 chars), lang (en, ko, ja, zh, es, fr; default en). Output: JSON with an MP3 (base64), voice, model, safety verdict. Fixed built-in voices, no voice cloning. Text scr

• ai_transcribe

  Use when an agent must turn audio into text (meetings, calls, voice notes). Input: POST a file (multipart 'file', raw body, JSON audioBase64) or url; mp3, wav, m4a, ogg, webm, flac, max 25 MB / 10 min. Output: text, language, timestamped segments, word count, duration; summary=tr

• ai_translate

  Use when an agent must translate text (replies, documents, transcripts). Input: text (max 1500 chars, GET or POST JSON), target language code, optional source (auto-detected for Korean, Japanese, Chinese, Cyrillic, Arabic, Hindi, Thai; Latin script defaults to English). Output: t

• ai_vision

  Use when an agent must understand a picture (screenshot, product photo, chart, scene). Input: url of a png, jpeg, webp or gif (max 5 MB), optional question (max 1000 chars), optional json=true for fields (objects, text, people count, colors...). Output: answer or fields, image in

• ai_embed

  Use when an agent needs vectors for search, RAG, clustering or dedup. Input: text (GET) or POST JSON {texts:[...]} with up to 32 strings of max 2000 chars each. Output: model, dims (1024), embeddings with index and vector; compare with cosine similarity. Multilingual (100+ langua

• knowledge_wiki

  Use when an agent needs a quick, cited fact sheet on a place, organization, thing or concept. Input: q (topic or title), optional lang (Wikipedia code, default en). Output: JSON title, description, extract, coordinates, thumbnail, page URL, Wikidata facts (instance of, inception,

• news_brief

  Use when an agent needs what is happening on a topic right now, in English, including Korean and Asian news. Input: topic, optional time_range (day, week default, month, year), max (1-10 headlines, default 10). Output: JSON overview, clusters [{headline, summary, sources}] with d

• web_extract

  Use when an agent needs specific fields from a web page as JSON. Input: url, schema (URL-encoded JSON Schema, object root, max 30 properties, depth 3, 3,000 chars). Output: JSON data validated against the schema (null when not on the page), title, finalUrl. SSRF-safe; noai pages

• web_audit

  Use when an agent must grade a website and say what to fix. Input: url or bare domain. Output: JSON score 0-100, grade A-F, per-category scores (security, https, seo, mail, ai), findings [{id, severity, category, title, fix}] and top fixes. Rule-based from one live fetch plus DNS

• kr_policy_latest

  Use when an agent tracks South Korean government policy, regulation or draft legislation in English. Input: optional q (keyword, Korean or English), date (YYYY-MM-DD KST), limit (1-20, default 5). Output: JSON items with Korean title, official link, published time and English bri

• web_read

  Use when an agent already has a URL and needs the page as clean Markdown (boilerplate removed, tables kept). Input: url, optional max_chars (500-60000), flags=1 for rule-based prompt-injection signals. Output: JSON markdown, title, language, finalUrl, chars, truncated. SSRF-safe;

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

• ! Caution

  Maker matches the repo

  The publisher (code0xff) is not the repo owner (code0xff); someone else may have listed it

• … Not checked yet

  Still maintained

  We have not read this repo from GitHub yet

• … Not checked yet

  Has a licence

  We have not read this repo from GitHub yet

• ✓ Pass

  Endpoint responds

  Responded in 433 ms (HTTP 200)

• – Not applicable

  Sign-in with OAuth

  No sign-in needed

• ✓ Pass

  No hidden instructions in tool descriptions

  Read 60 tool descriptions and found no hidden instructions to the AI

Compared with others in Docs, sheets & office worki

• More stars than 0% of the other 3545 servers in this category
• Published to the registry more recently than 53% of the other 3545 servers in this category
• Basic checks equal to or better than 39% of the other 3545 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Alternatives

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README from the maker

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