Servidor MCP de SaaSCity

• Nombre en el registroio.saascity/saascityverificado en el registro MCP

El nombre en el registro está bajo saascity.io. El registro solo permite usar ese espacio de nombres a quien demuestra control del dominio por DNS o HTTP.

• Estadorespondecomprobado el 2026-10-18
• Herramientas13
• El servidor se llamasaascity
• Versión del servidor2.0.0
• Versión del protocolo2025-06-18

El 2026-10-18 el servidor respondió a initialize y tools/list sin iniciar sesión. Primera respuesta en 182 ms.

• Respondiómidiendo2 de las 7 comprobaciones diarias necesarias para mostrar el porcentaje
• Mediana de la primera respuesta569 ms
• Espacio en el contexto del agente≈ 2190 tokenslas definiciones de todas sus herramientas (13), que el agente lleva en cada turno
• Definiciones de herramientasA · 100 de 100

• Todas las herramientas pasan las seis comprobaciones.

Un programa comprueba el servidor una vez al día: initialize y tools/list, sin modelo. Los tokens son la longitud de las definiciones, a unos cuatro caracteres por token. La nota promedia seis comprobaciones del nombre, la descripción, el esquema y las anotaciones de cada herramienta; dice lo bien descritas que están, no si funcionan. El estado de los servidores MCP de los proveedores: método y números →

• check_launch_readiness

  Audit a product homepage before launching it: HTTPS, noindex, title and meta description, og:image (fetched to confirm it loads), X card, favicon, canonical, mobile viewport, h1, JSON-LD, robots.txt, sitemap, parked or 404 pages, response…

• recommend_launch_directories

  Hand-picked launch directories for a product type, grouped by when to submit (launch day first, evergreen after). Every pick carries a human-written verdict, including the ones that are not worth paying for, plus Ahrefs DR, link type and…

• find_launch_directories

  Filter 1,666 startup, SaaS and AI directories by category, minimum Ahrefs DR, link type (dofollow/nofollow), price and badge-swap requirement. Returns submit URLs. Link type and price are "unknown" where nobody has verified them yet…

• get_launch_directory

  Look up one directory by domain or URL: Ahrefs DR, dofollow or nofollow, price, whether it wants a badge swap, the submit URL, and a human verdict where one exists. Use it to vet a directory before paying for a listing.

• submit_project

  List a product on the SaaSCity launch directory. Creates an inert draft and returns a claim URL; the human opens it to sign in, confirm the listing and pick a launch Monday. Nothing is published or charged until they do, and every listing…

• check_badge

  Check whether the SaaSCity badge is live on a site. Reads the given URL and, for a deep page, the site homepage too, rendering JavaScript if the static HTML misses it. A verified badge turns the listing link dofollow.

• get_submission_status

  Where a SaaSCity submission stands: a draft by claim token (unclaimed, claimed and in review, or expired) or a live listing by slug (launch week, badge, link type, points).

• get_launch_weeks

  SaaSCity launch-week queue: the next 12 Mondays, how many free slots each has left, and which are full. Use it to tell a founder when a free listing would go live.

• get_offers

  SaaSCity listing offers with real prices - free queue, Quick Pass, Premium - and exactly what each buys (queue position, dofollow link, city-map building, launch post). Only a human can pay, on the claim page.

• search_listings

  Search products listed on SaaSCity by keyword and/or category. Returns title, tagline, category, upvote points, the listing page and the product site. Useful for market research ("what else exists in this space?") before a launch.

• get_listing

  One live SaaSCity listing by slug: title, tagline, full description, category, upvote points, link type (dofollow/nofollow), listing page and product site.

• get_leaderboard

  SaaSCity's most upvoted launches for this week's launch, the last 30 days, or all time, optionally within one category.

• find_alternatives

  Other SaaSCity listings in the same category as a given listing, most upvoted first. Useful for competitor research and positioning.