Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Real shortest sea routes between ports: distance, canals/straits, GeoJSON. UN/LOCODE aware.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"searoute": {
"command": "npx",
"args": [
"-y",
"@searoute-ts/mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add searoute -- npx -y @searoute-ts/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"searoute": {
"command": "npx",
"args": [
"-y",
"@searoute-ts/mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"searoute": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@searoute-ts/mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 mayurrawte 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.1)은 2개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Python MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Local-only Python MCP server for the Files.com API.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Shortest sea route between any two points on Earth. A TypeScript / JavaScript
library for maritime route planning, port-to-port distance, ETA estimation, and
shipping-lane visualisation — powered by the 2025 Eurostat maritime network.
npm install searoute-ts
import { seaRoute } from 'searoute-ts';
const route = seaRoute([121.5, 31.0], [4.4, 51.9]); // Shanghai → Rotterdam → GeoJSON LineString, ~10,664 nm via Suez Canal
🗺️ [Try the interactive demo](https://mayurrawte.github.io/searoute-ts/) — click two points on a map and see the route, with all options live. (source)
📏 [Port-to-port sea distances](https://mayurrawte.is-a.dev/searoute-ts/routes/) — distance, sailing time and canal passages for common routes between major ports.
Works from plain JavaScript too — the package ships compiled
.jsplus
.d.tsdeclarations. The-tsin the name is for searchability, not a
language requirement.
seaRouteAlternatives returns the baseline plus up to N realistic alternatives.seaRouteMulti for port rotations and itineraries.speedKnots → durationHours.import { seaRoute } from 'searoute-ts';
const route = seaRoute([-74.04, 40.69], [-0.13, 51.5]); // NYC → London // route.properties.length // ≈ 3 362 nm // route.properties.units // 'nauticalmiles'
seaRoute(shanghai, rotterdam, {
units: 'kilometers', speedKnots: 22, }); // → 19 753 km, properties.durationHours ≈ 485 h (≈ 20 days)
seaRoute(shanghai, rotterdam, {
restrictions: ['suez', 'babelmandeb'], }); // → routes via Cape of Good Hope, ~25 800 km
seaRoute(shanghai, newYork, {
vesselDraftMeters: 16, // exceeds Panama's 15.2 m TFW }); // → Panama auto-blocked, route goes via Suez
import 'searoute-ts/ports'; // enables UN/LOCODE strings on the core API
import { seaRoute } from 'searoute-ts';
seaRoute('CNSHA', 'NLRTM'); // Shanghai → Rotterdam seaRoute('CNSHA', [4.4, 51.9]); // mixing a code and coordinates is fine too
The ~1 600-port dataset lives behind the searoute-ts/ports subpath so the core stays lean — importing it registers the resolver. You can also resolve codes yourself:
import { lookupPort, resolvePort } from 'searoute-ts/ports';
lookupPort('SGSIN'); // → { code, name: 'Singapore', country, coordinates: [lon, lat] } resolvePort('SGSIN'); // → [103.85, 1.28]
Unknown codes throw UnknownPortError. See Port codes below for provenance.
Don't want to bundle the ~135 KB dataset? Fetch it at runtime with loadPorts — the analog of loadNetwork. The dataset also ships as a raw dist/ports.json, so jsDelivr/unpkg serve it versioned for free:
import { seaRoute, loadPorts } from 'searoute-ts';
// Pin a version for reproducibility, or use @latest to always get the newest. await loadPorts('https://cdn.jsdelivr.net/npm/searoute-ts@latest/dist/ports.json');
seaRoute('CNSHA', 'NLRTM'); // works — the fetched dataset is now registered
https://cdn.jsdelivr.net/npm/searoute-ts@latest/dist/ports.json # newest https://cdn.jsdelivr.net/npm/searoute-ts@ /dist/ports.json # frozen/immutable
(dist/ports.json ships from the release that adds port codes onward — pin any version at or after it for reproducibility.)
loadPorts registers the fetched dataset (so code strings resolve) and returns it. It uses the global fetch (Node ≥18 / browsers); pass { fetch } to override.
import { seaRouteMulti } from 'searoute-ts';
seaRouteMulti( [shanghai, singapore, mumbai, rotterdam], { units: 'kilometers', returnPassages: true }, ); // → one concatenated LineString, total length, union of passages
import { seaRouteAlternatives } from 'searoute-ts';
const alts = seaRouteAlternatives(shanghai, rotterdam, { k: 4 }); // baseline 19 753 km via Suez // no-malacca 20 759 km // no-suez 25 315 km (via Panama) // no-suez-no-panama 25 845 km (via Cape of Good Hope)
The network is bundled by default, so seaRoute works offline with zero setup. If you'd rather not ship the ~1 MB network (e.g. to trim a browser bundle, or to use an updated network without upgrading the package), fetch it at runtime and pass it via the existing network option:
import { seaRoute, loadNetwork } from 'searoute-ts';
// CORS-enabled, served from GitHub Pages (or point at your own host / a CDN). const network = await loadNetwork('https://mayurrawte.github.io/searoute-ts/marnet.json');
const route = seaRoute(shanghai, rotterdam, { network });
Only the fetch is async — seaRoute itself stays synchronous. loadNetwork uses the global fetch (Node ≥18 and all browsers); pass { fetch } to supply your own. This is purely opt-in; nothing changes if you don't use it.
| Approach | How | Data version | Works offline | Best for |
|---|---|---|---|---|
| Bundled (default) | seaRoute(a, b) — no network | pinned to your installed package | ✅ | Most users; zero config, deterministic |
| Latest via URL | loadNetwork('…/marnet.json') | always the newest hosted | ❌ needs network | Always-current data without upgrading |
| Pinned via CDN | loadNetwork('https://cdn.jsdelivr.net/npm/searoute-ts@2.0.1/…') | frozen (immutable) | ❌ needs network | Reproducible builds |
You choose the version by choosing the URL:
https://cdn.jsdelivr.net/npm/searoute-ts@latest/dist/marnet.json # newest
https://cdn.jsdelivr.net/npm/searoute-ts@2/dist/marnet.json # newest 2.x https://cdn.jsdelivr.net/npm/searoute-ts@2.0.1/dist/marnet.json # frozen
A pinned URL never changes, so your routes stay reproducible. (These standalone-JSON CDN paths land with the package once the network ships as a separate asset — see issue #10; until then, use the GitHub Pages URL.)
For production, prefer a pinned URL (or just the bundled default) so your distances don't shift when the network is updated.
The bundled network is Eurostat's 100 km marnet_plus. Eurostat also publishes finer resolutions, which give more accurate coastal routing and shorter-hop fidelity at the cost of a larger download and slightly slower first-route graph construction. Two moderate resolutions ship as subpath exports so you only pay for them if you import them:
import { DEFAULT_MARNET } from 'searoute-ts/marnet-20km'; // or 'searoute-ts/marnet-50km'
import { seaRoute } from 'searoute-ts';
seaRoute(origin, destination, { network: DEFAULT_MARNET });
Like the bundled default, each variant ships once as a shared dist/data/marnet- .cjs asset that both the CJS and ESM builds load at runtime, so importing a variant doesn't duplicate the network across builds.
| Import | Resolution | Segments | JSON size | gzipped | Coastal accuracy |
|---|---|---|---|---|---|
searoute-ts (bundled default) | 100 km | 9,847 | ~1.3 MB | ~0.18 MB | Baseline — good for global routing |
searoute-ts/marnet-50km | 50 km | 15,498 | ~1.9 MB | ~0.27 MB | Modest step up |
searoute-ts/marnet-20km | 20 km | 29,581 | ~3.6 MB | ~0.51 MB | Noticeably finer coastal hops |
via loadNetwork (see below) | 10 km | 48,301 | ~5.9 MB | ~0.84 MB | High — larger download |
via loadNetwork (see below) | 5 km | 72,478 | ~9.0 MB | ~1.24 MB | Highest — largest download |
The 10 km and 5 km networks are large enough that bundling them would dominate the install, so they are not shipped in the package. Generate them from the Eurostat source with scripts/build-marnet.cjs (the script header documents the GDAL conversion), host the resulting JSON, and load it with loadNetwork — or pass any FeatureCollection to the network option directly.
{
type: 'Feature', geometry: { type: 'LineString', coordinates: [[lon, lat], ...] }, properties: { length: number, // in units, in-water only units: 'nauticalmiles' | 'kilometers' | 'miles' | ..., bbox: [minLon, minLat, maxLon, maxLat], greatCircleLength: number, // haversine between inputs, same units detourRatio: number, // routeKm / greatCircleKm originSnapKm: number, // input → network distance destinationSnapKm: number, durationHours?: number, // if speedKnots set passages?: ('suez' | 'panama' | ...)[], // if returnPassages: true ecaKm?: number, // if emissions + searoute-ts/eca imported ecaFraction?: number, // ecaKm / length (0–1) co2eTonnes?: number, // if emissions + vesselClass/factor } }
length runs between the two snapped network vertices. It does not include the legs from your inputs to the network (originSnapKm, destinationSnapKm, always in km), even with appendOriginDestination: true, which only adds the raw points to the line. For a door-to-door figure, add them yourself:
const { length, originSnapKm, destinationSnapKm } = seaRoute(a, b, { units: 'kilometers' }).properties;
const doorToDoorKm = originSnapKm + length + destinationSnapKm;
On hops shorter than the network resolution (~100 km by default, ~20 km with searoute-ts/marnet-20km), the snapped vertices can sit closer together than the inputs, so length can come out below greatCircleLength (detourRatio < 1). If both inputs snap to the same vertex, `NoRouteErro
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