Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Real shortest sea routes between ports: distance, canals/straits, GeoJSON. UN/LOCODE aware.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"searoute": {
"command": "npx",
"args": [
"-y",
"@searoute-ts/mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add searoute -- npx -y @searoute-ts/mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"searoute": {
"command": "npx",
"args": [
"-y",
"@searoute-ts/mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"searoute": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@searoute-ts/mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub mayurrawte, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.1.1) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, FactLot
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Cited CRE facts and deterministic calculators for agents: rent, CAM, debt sizing, IRR, parcel IDs.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo