
Servidor MCP de GetCited
Qué servidores MCP son de GetCited, del registro oficial y encontrados preguntando a su propio dominio, si responden y qué ofrecen. Un programa comprobó cada dato; nada está copiado de la página del producto.
leído el 2026-10-26
- Nombre en el registrodev.getcited/mcpverificado en el registro MCP
El nombre en el registro está bajo getcited.dev. El registro solo permite usar ese espacio de nombres a quien demuestra control del dominio por DNS o HTTP.
- Estadorespondecomprobado el 2026-10-26
- Herramientas29
- El servidor se llamagetcited
- Versión del servidor0.4.3
- Versión del protocolo2025-06-18
El 2026-10-26 el servidor respondió a initialize y tools/list sin iniciar sesión. Primera respuesta en 627 ms.
- Sus herramientas hacen todos los casos de uso comprobados: Audit a website for SEO and AI-search problems; Track keyword rankings and AI answer citations over time.
- Comprobado 1 de los 7 días necesarios para juzgar su fiabilidad.
Una vez conectado
- Para "Audit a website for SEO and AI-search problems", la primera llamada probable es how_to_authenticate.
- add_project, remove_project, add_keywords, add_geo_prompts, set_project_profile cambian datos sin iniciar sesión: cualquiera con la dirección puede llamarlas.
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 2 casos de uso
- Respondiómidiendo1 de las 7 comprobaciones diarias necesarias para mostrar el porcentaje
- Mediana de la primera respuesta641 ms
- Espacio en el contexto del agente≈ 10.912 tokenslas definiciones de todas sus herramientas (29), que el agente lleva en cada turno
- Definiciones de herramientasA · 100 de 100
- Resultados tipados24 de 29 herramientasdeclaran outputSchema: el resultado llega tipado y se lee de una vez
- Todas las herramientas pasan las seis comprobaciones.
Qué puede hacer un agente con él
- puede · Audit a website for SEO and AI-search problems
- no está claro · Apply audit fixes directly in the code repository
- puede · Track keyword rankings and AI answer citations over time
Cada caso de uso del producto se le preguntó a Jev junto con la lista de herramientas de este servidor: ¿puede un agente hacerlo con estas herramientas?
Conviene revisar
- Herramientas que cambian datos, en un servidor que responde sin iniciar sesión: add_project, remove_project, add_keywords, add_geo_prompts, set_project_profile
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 →
how_to_authenticateThis server is not authenticated, so none of its SEO tools will answer. Call this for the exact steps to fix it. Retrying other tools will not help.
get_setup_statusThe onboarding as a checklist for one project: each step (profile, tech stack, competitors, first audit, keywords, rank check, GEO prompts, GEO check, visitor snippet) with whether it is done, what it needs and the tool that completes it…
list_projectsLists the sites this API key can operate on and returns `projects`, newest first, each with id (the projectId every other tool takes), domain and createdAt. Read-only. Sites removed with remove_project are not listed, and an empty array…
add_projectRegister the site you are working in, and get its project id back. Pass the domain you derived from this codebase (git remote, deployed URL, site config). Safe to call every run: if the site is already tracked you get the same project…
remove_projectStop tracking a site: it leaves list_projects, stops being crawled or checked, and frees a site slot on the plan. Nothing is erased. Its crawls, findings and history are kept, and add_project on the same domain brings the same project…
get_site_healthReturns the project's current state: the latest crawl (status, pages crawled, when), issue counts by severity and by rule, the open action count and the scores, where a dimension with no data yet is null rather than 0. Read-only. Call it…
get_next_workThe one call an unattended agent needs: the findings worth acting on now, most important first, or an instruction to stand by until a given time. Ordering is severity weighted by the page's own measured traffic. Pages the owner excluded…
list_actionsReturns the prioritized problems filed for a project, most urgent first; priority 1 is most urgent, 5 least. Read-only. Defaults to open ones. By default it answers grouped: one entry per rule (or type) with the count, the priority, the…
get_actionReturns one action in full: type, priority, title, rationale (what was measured and why it matters), targetUrl, status, the claim and closing fields, and `payload`, the evidence (the audit rule id and its measured values, such as the…
claim_actionMarks an open action as claimed by this API key, so other agents working the same queue skip it, and returns the updated action. Only an open action can be claimed: one already claimed (by any agent, this one included), done or dismissed…
complete_actionMark a problem done after you have addressed it in the codebase. Pass `note` to record what you changed; the owner reads it to tell a real fix from a box ticked. Pass `commit` with the sha that carries the change: it is what lets a later…
dismiss_actionDrop a problem you are deliberately not acting on, and say why. `reason` is required and is shown to the site owner: explain what makes this finding wrong or inapplicable here, in a sentence they could disagree with. A dismissal without a…
run_auditQueues a fresh crawl and audit of the site and returns the crawl id and status, up to maxPages pages (default 100; the response says how many it used). Most crawls finish in under 30 seconds: pass wait: true to get the finished crawl in…
add_keywordsStarts tracking search `terms` for a project and returns `added`, the number of new keywords. Pass terms as an array of plain search phrases (terms: ["seo tool", "rank tracker"]) with the projectId from add_project or list_projects. Terms…
list_keywordsReturns `keywords`, one row per tracked keyword, newest first: id (the keywordId rank_history takes), term, country, language, createdAt, `metric` (search volume, cpc, difficulty, fetchedAt) and `rank` (latest position within the top 30…
rank_historyPass `keywordId`, which is the id field of an entry from list_keywords, together with the projectId that keyword belongs to. Returns the position samples for that keyword over the last N days (default 30), one per rank check, and a status…
check_rankingsQueues a search-position check (top 30 results) for every keyword tracked on this project and returns status, jobId and the keyword count. The work runs asynchronously in the worker: the searches are submitted immediately and the results…
add_geo_promptsPass `prompts` as an array of objects, not strings: each is { prompt: "best seo tool for agents", stage?: "tofu" | "mofu" | "bofu", format?: "keyword" | "conversational" | "list" }, with the projectId from add_project or list_projects…
geo_summaryReturns how often the site appears in AI answers: one row per tracked prompt, and within it one entry per engine with runs, citedRuns, mentionedRuns, citedRate and mentionedRate, plus the competitor domains cited instead, over the last…
check_geoQueues a run of every tracked GEO prompt against each configured AI answer engine and returns status, jobId and the prompt count. The work runs asynchronously in the worker and takes minutes; this returns as soon as it is queued. Poll…
refresh_actionsRebuilds this project's action list from what is already measured (crawl findings, ranks, AI-engine citations, visitor behavior) by fixed rules: no model, no provider call, no quota. Every crawl already triggers one, so call it only after…
get_behavior_digestReturns visitor analytics from the site's own traffic over the last `days`: sessions, engaged and bounce rates, channels including AI assistants, top pages, exit pages, statistically flagged high-bounce pages (z-test, n>=30) and friction…
set_project_profileStep one of the growth recipe, and the gate on the rest of it. Record what this site sells in the owner's words: productSummary (a paragraph, at most 600 characters), valueProposition (at most 300), audience (at most 300), plus optional…
get_project_profileThe stored profile for a project: the three texts as they were written and where they came from, the market country and language, the tracked competitors, the declared techStack next to the detectedStack the latest crawl saw, whether it…
list_opportunitiesThe opportunity queue: one row per query the site should hold and does not, or holds badly, built only from rows already measured. Keywords come from rank checks, prompts from AI answer-engine runs, and fanout rows from the sub-questions…
get_content_briefEvidence for building a page for one query. Contains no wording; what to write is yours. `query` is one row's `query` from list_opportunities, exactly as it came back (a tracked keyword, a tracked prompt, or a fan-out sub-question)…
get_page_historyEvery measurement that touched one page, newest first, so a change can be matched to its effect. `url` is the full url of a page on the tracked site (https://example.com/guide); `days` defaults to 90. Three kinds of row on one timeline…
list_regressionsWhat is measurably worse than it was, over the last `days` (default 30). Three kinds: `rank`, a keyword whose best position over the last three checks is at least three places worse than over the three before, or that ranked and no longer…
get_page_profileReturns the visitor behaviour of one page over the last `days`: pageviews, entries, bounce rate, exits, 50% and 100% scroll rates, average active time, rage and dead clicks, and vsSite, a two-proportion z-test of its bounce rate against…
Cómo conectar
Añade el servidor a la configuración de tu cliente MCP. Claude Desktop, Cursor y la mayoría de los demás clientes leen este formato:
{
"mcpServers": {
"getcited": {
"type": "http",
"url": "https://app.getcited.dev/api/mcp"
}
}
}Añadirlo
Claude Code, en una terminal
claude mcp add --transport http getcited https://app.getcited.dev/api/mcpAñadir a CursorAñadir a VS Code
claude.ai, ChatGPT y otros clientes: añade https://app.getcited.dev/api/mcp como conector personalizado en los ajustes.
Cada línea es algo que un programa encontró al buscar: la entrada del registro, la respuesta del propio servidor, una especificación que se puede leer. Si falta una línea, es que no la encontramos, no que no exista.
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