
Servidor MCP de GetCited
Quais servidores MCP são de GetCited, do registro oficial e encontrados perguntando ao próprio domínio, se respondem e o que oferecem. Um programa verificou cada item; nada foi copiado da página do produto.
lido em 2026-10-26
- Nome no registrodev.getcited/mcpverificado no registro MCP
O nome no registro fica sob getcited.dev. O registro só libera esse espaço de nomes para quem prova controle do domínio por DNS ou HTTP.
- Estadorespondeverificado em 2026-10-26
- Ferramentas29
- O servidor se chamagetcited
- Versão do servidor0.4.3
- Versão do protocolo2025-06-18
Em 2026-10-26 o servidor respondeu a initialize e tools/list sem login. Primeira resposta em 627 ms.
- As ferramentas fazem todos os casos de uso verificados: Audit a website for SEO and AI-search problems; Track keyword rankings and AI answer citations over time.
- Verificado em 1 dos 7 dias necessários para julgar a confiabilidade.
Depois de conectar
- Para "Audit a website for SEO and AI-search problems", a primeira chamada provável é how_to_authenticate.
- add_project, remove_project, add_keywords, add_geo_prompts, set_project_profile alteram dados sem login: qualquer pessoa com o endereço pode chamá-las.
Dito por regras a partir das medições acima. A primeira chamada provável é a escolha de um modelo na lista de ferramentas; leia a descrição antes de confiar nela.
- Nota INITE MCPdepois de uma semanaa nota precisa de 7 verificações diárias: 1 até agora
- O que um agente consegue fazer com ele2 de 2 casos de uso
- Respondeumedindo1 das 7 verificações diárias necessárias para mostrar a porcentagem
- Mediana da primeira resposta641 ms
- Espaço no contexto do agente≈ 10.912 tokensas definições de todas as ferramentas (29), que o agente carrega a cada turno
- Definições das ferramentasA · 100 de 100
- Resultados tipados24 de 29 ferramentasdeclaram outputSchema: o resultado chega tipado e é lido de uma vez
- Todas as ferramentas passam nas seis verificações.
O que um agente consegue fazer com ele
- consegue · Audit a website for SEO and AI-search problems
- incerto · Apply audit fixes directly in the code repository
- consegue · Track keyword rankings and AI answer citations over time
Cada caso de uso do produto foi perguntado ao Jev junto com a lista de ferramentas deste servidor: um agente consegue fazer isso com essas ferramentas?
Vale conferir
- Ferramentas que alteram dados, em um servidor que responde sem login: add_project, remove_project, add_keywords, add_geo_prompts, set_project_profile
Um programa verifica o servidor uma vez por dia: initialize e tools/list, sem modelo. Os tokens são o tamanho das definições, a cerca de quatro caracteres por token. A nota é a média de seis verificações do nome, da descrição, do esquema e das anotações de cada ferramenta; diz se as ferramentas estão bem descritas, não se funcionam. A nota pesa só o que foi medido: se responde (25%), se faz o trabalho do produto (25%), definições (20%), contexto (10%), uso (10%) e a facilidade de conectar (10%). Uma parte não medida fica de fora, e uma instrução oculta limita a nota a 40. O estado dos servidores MCP dos fornecedores: método e 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…
Como conectar
Adicione o servidor à configuração do seu cliente MCP. Claude Desktop, Cursor e a maioria dos outros clientes leem este formato:
{
"mcpServers": {
"getcited": {
"type": "http",
"url": "https://app.getcited.dev/api/mcp"
}
}
}Adicionar
Claude Code, no terminal
claude mcp add --transport http getcited https://app.getcited.dev/api/mcpAdicionar ao CursorAdicionar ao VS Code
claude.ai, ChatGPT e outros clientes: adicione https://app.getcited.dev/api/mcp como conector personalizado nas configurações.
Cada linha é algo que um programa encontrou ao procurar: o registro, a resposta do próprio servidor, uma especificação que se lê. Linha ausente quer dizer que não encontramos, não que não exista.
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