Servidor MCP de CueScout

• Direcciónhttps://mcp.cuescout.com/mcpno está en el registro oficial: respondió al preguntarle

Ninguna entrada del registro oficial de MCP nombra este servidor. Respondió en cuescout.com cuando el Atlas preguntó en la dirección donde suelen montarse los servidores, así que es del propio proveedor. Los clientes y catálogos que listan servidores a partir del registro no lo muestran.

• Estadorespondecomprobado el 2026-10-27
• Herramientas14
• El servidor se llamacuescout
• Versión del servidor1.2.0
• Versión del protocolo2025-06-18

El 2026-10-27 el servidor respondió a initialize y tools/list sin iniciar sesión. Primera respuesta en 559 ms.

• Sus herramientas hacen track where your brand appears in AI assistant answers; find pages AI engines cite and identify content gaps, pero no publish pages answering buyer questions AI assistants recommend.
• Comprobado 1 de los 7 días necesarios para juzgar su fiabilidad.

Lo dicen reglas a partir de las mediciones de arriba. La primera llamada probable la elige un modelo de la lista de herramientas; lee su descripción antes de fiarte.

• Nota INITE MCPtras una semanala nota necesita 7 comprobaciones diarias: 1 hasta ahora
• Qué puede hacer un agente con él2 de 3 casos de uso
• Respondiómidiendo1 de las 7 comprobaciones diarias necesarias para mostrar el porcentaje
• Mediana de la primera respuesta587 ms
• Espacio en el contexto del agente≈ 2348 tokenslas definiciones de todas sus herramientas (14), que el agente lleva en cada turno
• Definiciones de herramientasA · 99 de 100
• Resultados tipados3 de 14 herramientasdeclaran outputSchema: el resultado llega tipado y se lee de una vez

• Parámetros sin descripción: en 1 de 14

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. La nota pondera solo lo medido: si responde (25%), si hace el trabajo del producto (25%), definiciones (20%), contexto (10%), uso (10%) y lo fácil que es conectarse (10%). Lo que no se midió queda fuera, y una instrucción oculta limita la nota a 40. El estado de los servidores MCP de los proveedores: método y números →

• check_ai_visibility

  Use this when someone asks whether an AI answer engine names or cites a brand for a buying question, or which other brands it names. Sends one question to one search-grounded engine through its API and returns whether the brand was named…

• check_ai_readiness

  Use this when someone asks whether AI engines can read, crawl or quote their website, or wants an AI-readiness audit of a site. Runs eight checks: AI crawler access in robots.txt, llms.txt, Organization and FAQ schema, canonical and meta…

• check_ai_crawler_access

  Use this when someone asks why their site never shows up in AI answers, or whether GPTBot, ClaudeBot, PerplexityBot or Google-Extended can crawl it. Reads the site's robots.txt and reports which of those crawlers are blocked, including by…

• validate_structured_data

  Use this when someone wants their schema markup or JSON-LD checked on a specific page. Reports which schema types the page declares, which blocks fail to parse, and whether the fields that help an engine attribute a claim (sameAs…

• check_sitemap

  Use this when someone wants their XML sitemap checked. Reports whether a site's sitemap is reachable, parses, is declared in robots.txt, and is free of cross-host entries a crawler discards. A handful of fetches, no AI.

• get_profile

  Use this when someone asks which CueScout account is connected. Returns the account name and email.

• list_brands

  Use this to see which brands the connected CueScout account tracks, with their sites and the competitors set for each. The other account tools take one of these brands.

• get_ai_visibility

  Use this when someone asks how visible their brand is in AI answers, what their share of AI voice is, or how they compare with competitors. Reads the results CueScout already collected for the brand: how often AI answers named it, its…

• list_prompts

  Use this when someone asks which questions CueScout tracks for their brand, which ones the brand is missing from, or who gets named instead. Returns each tracked prompt with the latest verdict per engine (named and cited, named, or not…

• get_prompt_answers

  Use this when someone wants to read what the AI engines actually answered to one of their tracked prompts. Returns the most recent answer from each engine, whether the brand was named or cited, which brands were named, and the pages each…

• list_citation_sources

  Use this when someone asks which websites or pages AI answers rely on in their brand's category, or where they should try to get mentioned. Returns the pages cited most often across the brand's tracked prompts, with how many times each…

• list_todos

  Use this when someone asks what they should do next to show up in AI answers. Returns CueScout's To-dos for the brand in priority order: the action, why it matters and its priority. Filter by status: todo (default), suggested, done or…

• get_todo

  Use this when someone wants the details of one To-do: why it matters, the steps to do it, and the evidence behind it.

• get_site_audit

  Use this when someone asks whether AI engines can read their own brand's site, based on CueScout's last audit of it: crawler access, llms.txt, schema, meta tags, server-rendered copy, and about and pricing pages. Reads the stored result…