Flightaware MCP
Live flight tracking and aviation data via FlightAware AeroAPI (flights, airports, alerts).
Descripción del creador (original en inglés)
A zero-LLM MCP server that replays recorded site maps instead of re-exploring browser routes.
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": {
"webnav": {
"command": "npx",
"args": [
"-y",
"@dikshanty94/webnav"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add webnav -- npx -y @dikshanty94/webnavPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"webnav": {
"command": "npx",
"args": [
"-y",
"@dikshanty94/webnav"
]
}
}
}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": {
"webnav": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@dikshanty94/webnav"
]
}
}
}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 lucyfuur94, 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 (0.2.0) llegó al registro hace 4 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: Flightaware MCP, Killbottleneck, topo^alpin
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
Live flight tracking and aviation data via FlightAware AeroAPI (flights, airports, alerts).
Free-to-self-host goal and process maps for humans and AI agents, with REST API and MCP.
Avalanche bulletins, mountain weather, stations, huts, ski and snowshoe tours in the Alps.
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.
Stop your web-browsing AI agent from re-exploring the same sites every run. Your agent maps a website once — then travels it forever with webnav walk: deterministic, zero-LLM, page-to-page autopilot that pauses only at genuine forks (what to buy, an irreversible button) and hands the wheel back. It's a reusable site map, not page compression — most token-saving tools shrink what the agent *reads*; webnav remembers *where things are* so it stops re-finding the route. webnav is the map and the mechanics; the agent keeps all the judgment.
A real run against saucedemo's full checkout flow (map + credentials already recorded):
$ webnav walk --start www.saucedemo.com:login --goal www.saucedemo.com:checkout-overview
{ "status": "needs-navigation", "semanticStep": "open the shopping cart", "question": "before \"open the shopping cart\", fire these in-page affordances: aff_addcart", "snapshot": "…", "session": "walk-w-…", "browserSession": "w-…" }
$ webnav use click e54 --session w-… # add-to-cart — the agent's one judgment call $ webnav walk-resume walk-w-… --ref e124 # continue; e124 = the icon-only cart badge { "status": "done", "cost": { "playwright_calls": 12 } }
4 agent-visible CLI calls, login → inventory → cart → checkout form (auto-filled from locally-stored creds — never in the map) → overview. 12 browser actions underneath, zero agent tokens spent on navigation.
In our navigation benchmark (both arms on Haiku, the same browser underneath), on a deep multi-step route `walk` used ~3× fewer agent steps than an agent ad-hoc-driving the raw browser — median 6 calls vs 18 — and reached the goal more reliably (3/3 vs 2/3). Honest caveat, also in that file: the win shows up on *deep, reliably-walked* routes; on shallow 1–2-hop routes, or when the agent falls back to manual driving, the two tie. webnav helps most exactly where ad-hoc driving hurts most — the long, repeated journeys.
There's also a Chrome extension in webnav-extension/ — a docked side panel where you type a goal and watch the agent drive your active tab (read / click / type / scroll, via chrome.debugger/CDP), on your own Claude Code subscription. It recalls first (list_routes → check_route) so a site you've mapped is replayed, not re-explored — and every run is recorded back into the map, so the *next* time is the cheap deterministic walk.
walk (typed values never leave the browser).Try it (needs the local server for the zero-LLM navigation + recording):
cd webnav-extension && npm i && npm run build # emits the *.js next to *.ts
webnav dev agent-serve --port 7779 # prints a token — paste it into the panel
Then chrome://extensions → Developer mode → Load unpacked → pick webnav-extension/, open the panel (toolbar icon or ⌘/Ctrl-E), paste the token, and type a goal. Runs show up on the dashboard tagged Extension. Full walkthrough: webnav-extension/README.md.
Web agents re-discover the same websites every single day, paying the same token bill every time: snapshot → reason → click → snapshot. For sites you (or your agents) use repeatedly — internal tools, automation testing, back-office workflows — that navigation should be remembered, not re-reasoned. webnav stores the durable *intent* of each step, replays it deterministically, self-heals when the site drifts, and never auto-fires an irreversible action: commit points always pause for the agent (or you) to decide.
# Node 18, 20, or 22
npm install --global @playwright/cli@latest @dikshanty94/webnav@latest
webnav creds set www.saucedemo.com username=standard_user password=secret_sauce webnav walk --start www.saucedemo.com:login \ --goal www.saucedemo.com:checkout-complete --headless
webnav dev list # inspect the local map store
The seeded Saucedemo map is a working example. To map your own site, hand an agent the prompt in docs/LEARNING-A-SITE.md, record a session yourself, or use the Chrome extension below. For development, map packs, and contributing from source:
git clone https://github.com/lucyfuur94/webnav-core
cd webnav-core npm install && npm link # source checkout: runs current TypeScript via tsx webnav --help # the tool menu (a peer of playwright-cli) npm test # unit tests (+ gated browser e2e) npm run build # tsc -> dist/ (only for the published build; the CLI runs src directly)
Using it from an MCP client (Claude Desktop/Code, etc.) — webnav serves every verb as an MCP tool over stdio, so your agent gets walk/use/search/… natively, no shelling out. One line:
{ "mcpServers": { "webnav": { "command": "webnav", "args": ["mcp"] } } }
webnav is a map — and a fresh install is not blank, but it is small. Here's honestly what you get and how it grows, so there are no surprises:
walk map. This works immediately: webnav walk --start www.saucedemo.com:login \
--goal www.saucedemo.com:checkout-complete # saucedemo, seeded
Nothing else is seeded — webnav is a blank-slate map tool, and saucedemo is the single
example that proves it works. You record your own sites (see below); that's the product. This fits any flow you repeat against the same site: automation testing, internal tools, back-office workflows, recurring agent tasks. (An earlier GitHub-recall
~/.webnav/webnav.db and reused on every run — you do not rebuild it each time. When a remembered step drifts (a renamed or moved element), a walk escalates once for the agent to pick the element, then writes the fix back so the next run resolves it deterministically (principle #3). Routes you use stay fresh. Credentials for login-gated sites live outside the map, locally, at ~/.webnav/credentials.json (chmod 600) — never in the DB, never shared.use primitives while recording, then dev graph-analyse --draft folds that into a SELF-VERIFIED map (absolute URLs, unique element fingerprints, the in-page affordance repertoire, the declared domain shadow) which it persists with dev graph-edit. No hand-authoring of fingerprints or URLs. (That prompt learned the seeded OrangeHRM map — login + 11 modules, exercised — in a single one-shot run.) Re-learn cleanly with dev node-clear.webnav dev import-map loads a site's skeleton; set your own login with dev creds set (packs are skeleton-only, never carry credentials). Two packs ship in [`mappacks/`](mappacks/) (saucedemo, OrangeHRM); dev export-map makes your own to share.webnav dev record-live --session S --url — it opens a headed browser at that URL, and you click through the flow naturally. Every action you take is captured (real playwright a11y snapshots, never typed values — only which field changed) into the same session store the agent-record path uses. Stop with Ctrl-C or webnav dev record-stop --session S, then it's the same dev graph-analyse --draft → graph-edit → walk pipeline.dev ingest still exists as that legacy receiver.)webnav dev dashboard (a localhost operator UI). Its Sessions tab lists every recorded run — tagged by source (Extension / Agent / Manual), with a filter, step counts, and a Verified badge — plus record-by-clicking + replay:Or the text views dev outline / dev mermaid .
TL;DR: out of the box you can walk saucedemo; everything else you map yourself. Same machine + a mapped site → instant, cached, self-healing. A brand-new site → you (or your agent) record it once first.
# Travel a map you've built (the core win: deterministic, low-token replay)
webnav walk --start --goal autopilot a multi-step route; pauses at genuine forks webnav walk-resume --ref|--classify answer a paused walk's fork and continue webnav creds set key=value... store login/form creds locally (~/.webnav, chmod 600)
webnav use navigate --session S open a URL (records a landing if S is
Solo se muestra el principio; lee el resto en el repo