OpenSEO
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
How ChatGPT, Claude, Gemini and Perplexity read a site: free check, fix plan, compare, history.
选择你使用的 AI 应用,然后复制设置。
通过 5/5 项检查 · 你的提问会经过开发者的服务器(inite.ai) · ✓ 命令已检查 2026年11月14日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude · 约 2 分钟
不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
CustomizeConnectors
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
INITE Visibilityhttps://inite.ai/api/mcp/analyzer在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add
+ConnectorsINITE Visibility
用 INITE Visibility 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 INITE Visibility,或回答中出现 INITE Visibility 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
能否连接 ChatGPT 取决于方案
完整 MCP:网页版 ChatGPT Business、Enterprise 或 Edu · Pro:以读取/获取权限连接,修改数据的工具可能用不了 · Plus:官方文档尚未确认,如果在插件页看到添加自定义 MCP 的选项可以试试 · 仅限网页
Plugins+Add custom MCP server
输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin
INITE Visibilityhttps://inite.ai/api/mcp/analyzer开启新聊天,输入前先从插件列表中选择 INITE Visibility
用 INITE Visibility 告诉我你能帮我做什么,然后做一件给我看✓ 如果 ChatGPT 说正在使用 INITE Visibility,或回答中出现 INITE Visibility 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Claude Code · 约 2 分钟
不需要密钥,不用安装程序
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --transport http --scope user inite-visibility https://inite.ai/api/mcp/analyzer应能看到 INITE Visibility 在列表中并显示已连接
用 INITE Visibility 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 INITE Visibility,或回答中出现 INITE Visibility 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor · 约 2 分钟
不需要密钥,不用安装程序
用 INITE Visibility 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 INITE Visibility,或回答中出现 INITE Visibility 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code · 约 2 分钟
不需要密钥,不用安装程序
用 INITE Visibility 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 INITE Visibility,或回答中出现 INITE Visibility 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看
通过网页连接的应用使用的地址
https://inite.ai/api/mcp/analyzerJSON 设置在下方“开发者专用”中
Claude Code
claude mcp add --transport http --scope user inite-visibility https://inite.ai/api/mcp/analyzerCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"inite-visibility": {
"url": "https://inite.ai/api/mcp/analyzer"
}
}
}VS Code (mcp.json)
{
"servers": {
"inite-visibility": {
"type": "http",
"url": "https://inite.ai/api/mcp/analyzer"
}
}
}Claude Code
claude mcp add --scope user inite-visibility -- npx -y @inite/visibilityClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"inite-visibility": {
"command": "npx",
"args": [
"-y",
"@inite/visibility"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"inite-visibility": {
"command": "npx",
"args": [
"-y",
"@inite/visibility"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"inite-visibility": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@inite/visibility"
]
}
}
}INITE_TOKEN 机密 env说明仍为英文原文。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
通过互联网连接,适用于
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
工具名称和描述与服务器在 2026年11月12日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
check_identityFree and instant, no account: read a website the way an AI engine does before it answers about it. Returns which answer-engine crawlers robots.txt lets in (retrieval, which decides whether the site can be cited) and which training crawlers it blocks (which costs nothing), the ide
analyze_siteThe AI visibility audit: the identity files, crawler policy, schema graph and page health, then the answer engines asked whether they name the site, scored out of 100. Starts a run and returns its run_id; it takes about a minute, so call get_analysis with that id. Without an acco
get_analysisRead an audit started by analyze_site: progress while it runs, then the score out of 100 and what to fix first. Only the caller who started the run can read it - the account, or for a guest the same address.
visibility_fixesThe fix plan for a site's AI visibility, most important first: what to change, why it matters for being named in AI answers, how many points of the score it should recover, the pages it applies to, and a paste-ready file or snippet when there is one (llms.txt, robots.txt rules, O
compare_sitesYour site against a competitor's, read the way an AI engine reads them before it answers: identity score out of 100, which answer-engine crawlers each lets in, the identity files each has (llms.txt, ai.json and the rest), Organization schema, and where each one is ahead. Free and
visibility_historyHow a site's AI visibility reading has moved over time: for a site in the INITE Atlas, its weekly readings (identity score, answer-engine crawlers let in, llms.txt, Organization schema, the top fix each week); signed in, your own audits of it too, with their scores. Free, no mode
inite_connectHow to add another INITE MCP server to this client, when the person wants something this one does not do. With no argument, the server beside this one; `for`, the one that does a job; `all: true`, every server. Returns the URL, the Claude Code command and the custom-connector ste
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月15日
注册名称已通过域名 inite.ai 验证(注册中心会核实域名所有权)
代码最后更新于26天前
使用 MIT
在 268 毫秒内响应(HTTP 200)
无需登录
已读取 7 个工具描述,未发现针对 AI 的隐藏指令
OSV.dev 中没有 @inite/visibility@1.3.0 的记录
只检查这个版本的包本身,不包括所有依赖 · 检查于 2026年11月15日
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 5 项适用的基础检查中通过了 5 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于26天前,最新版本(2.1.0)于26天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。
同一分类中有:OpenSEO, Exa, Mockserver, Microsoft Learn MCP, Docs
同一分类、其他作者、命令已通过检查。官方的排在前面,再按星标排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.
Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Ask your assistant whether the answer engines can see a website, and get a number back.
> Can ChatGPT actually find stripe.com, or is it invisible?
analyze_site(url: "stripe.com") → run_id: cm4x… get_analysis(run_id: "cm4x…") → Score: 78/100
The audit reads a live site the way an assistant does — the identity files an engine looks for (llms.txt, ai.json and the rest), the crawler policy, the schema graph, page health — and then asks Claude, ChatGPT, Gemini and Perplexity whether they name it. One score out of 100 across eight weighted sections.
It is the same audit that runs at inite.ai/en/analyze.
Three of the tools run entirely on your machine — a robots.txt fetched, a file probed for, a page parsed. No account, no allowance, no call home.
> Is anything blocking AI crawlers on stripe.com?
check_ai_access(url: "stripe.com")
Retrieval: all 7 answer-engine crawlers may fetch the site. Training: 3 of 8 blocked — Meta-ExternalAgent, Bytespider, Amazonbot.
The rest is inite.ai's AI visibility server, and it answers signed out too, as a guest: check_identity, the fix plan (visibility_fixes), a competitor read the same way (compare_sites), how the reading moved (visibility_history), and analyze_site as the survey - the audit without its two paid steps, two a day per address.
> What should firecrawl.dev fix first so ChatGPT can use it?
visibility_fixes(url: "firecrawl.dev")
Visibility and nothing else. INITE's services and booking are ai.inite/inite, the catalogue of AI tools is ai.inite/atlas.
Signing in makes the calls your account's: its tier of the audit (the teaser on a free plan, the whole audit on a paid one) and your audits: my_reports, and the fix plan and history built from them.
Claude Desktop, Cursor, or any client that launches a stdio server:
{
"mcpServers": { "inite": { "command": "npx", "args": ["-y", "@inite/visibility"] } } }
Then sign in once:
npx @inite/visibility login
That opens a browser, you approve, and the token is stored at ~/.config/inite/mcp.json with owner-only permissions. Authorization code with PKCE over a loopback redirect, the flow RFC 8252 prescribes for a native app. Nothing is written to the repository and no secret ships in the package.
Already have a token (CI, a shared config, a container):
{
"mcpServers": { "inite": { "command": "npx", "args": ["-y", "@inite/visibility"], "env": { "INITE_TOKEN": "…" } } } }
INITE_TOKEN wins over the stored file.
Client speaks remote MCP? Skip this package. Point it straight at https://inite.ai/api/mcp/analyzer: every open tool answers without a token, and a member tool answers 401 with WWW-Authenticate naming the protected-resource metadata, which names the authorization server.
Local — no account:
| tool | what it does |
|---|---|
check_ai_access(url) | Which AI crawlers robots.txt lets in, separating the ones that fetch a page to answer a live question from the ones that only collect training data. Blocking the first kind is what makes a site invisible; blocking the second costs nothing. |
check_identity_files(url) | Which of the ten identity files exist — llms.txt, ai.json, identity.json and the rest. |
check_page_signals(url) | Title, description, canonical, hreflang, and the Schema.org types in the page's JSON-LD. |
Remote — open without an account, more with one:
| tool | what it does |
|---|---|
check_identity(url) | Free and instant: which answer-engine crawlers get in, the identity files, structured data, an identity score out of 100 and what that reading says to fix. No model asked. |
visibility_fixes(url) | The fix plan, most important first: what to change, why, how many points it should recover, the pages it applies to, and a paste-ready file when there is one. Signed in, built from your latest audit of the site. |
compare_sites(url, other) | Your site and a competitor's, read the same way, side by side, and who is ahead on each count. |
visibility_history(url) | How the reading moved: the INITE Atlas's weekly readings for a site it carries, and your own audits. |
analyze_site(url) | Starts the audit that also asks the answer engines whether they name the site, and returns a run_id. A survey without an account, the teaser on a free plan, the whole audit on a paid one. |
get_analysis(run_id) | Progress while it runs; the score out of 100 and what to fix first once it finishes. |
my_reports() | Signed in: your audits, newest first. |
Two tools rather than one for the audit, because it is asynchronous. A single tool that blocked for a minute would be torn down by most clients' timeouts.
inite-visibility run as an MCP server over stdio (what a client does)
inite-visibility login sign in through the browser inite-visibility whoami say whether a usable token is present
Two halves.
The local checks are real work done here: fetching, parsing, and the robots rules applied properly — most-specific group wins, longest matching rule wins, Allow breaks a tie. They cost nobody anything because your machine does them.
The remote half defines no schemas of its own. It asks inite.ai what it offers and forwards calls there, so that tool list is whatever the service implements today. A local copy would be a second source of truth, and the first thing it would do is drift.
What stays on the server is what costs something or is ours: four answer engines asked whether they name a site, and the weights that turn everything into one number. The local tools report facts; analyze_site reports a score.
Without an account every open tool answers, under a per-address allowance: the identity check, the fix plan, the comparison and the history, and the audit as a survey, two a day. An account makes the audit its plan's own, exactly as on the website: the teaser on a free plan, the full pipeline - four answer engines asked - on a paid one. Plans are here.
| variable | meaning |
|---|---|
INITE_TOKEN | Use this token instead of the stored one. |
INITE_MCP_URL | Point at a different endpoint. Default https://inite.ai/api/mcp/analyzer. |
INITE_TOKEN_FILE | Where the token lives. Default ~/.config/inite/mcp.json. |
INITE_AUTH_URL | Authorization server. Default https://auth-api.inite.ai. |
Published to the MCP registry as ai.inite/inite-visibility, a namespace held by proving control of inite.ai — the public half of the key is served at /.well-known/mcp-registry-auth.
Named by the domain rather than the code host on purpose: a service whose whole job is being legible to machines should tell them who it belongs to in its own name.
npx @inite/visibility resolves because there is exactly one binary in the package. npm looks for a command matching the package name with the scope stripped — visibility — does not find it, and runs the only one there is.
The binary is called inite-visibility rather than visibility on purpose: a scoped package has no business claiming a word that general in your PATH on a global install. The cost is that a second binary would break the line above for every client, so a test pins it at one.
If you are invoking it from a directory that contains this package's own package.json, npm prefers the local copy and finds no linked command. Name it explicitly there:
npx -p @inite/visibility inite-visibility login
npm install
npm run build npm test
The tests cover what the bridge can get wrong without saying so: dropping the credential, turning "signed out" into "broken", swallowing an error into a success, and letting a stale file beat the environment.
You don't need to be an engineer. Open the repo in your coding agent and say /contribute (Claude Code) — or "read AGENTS.md and help me add …" in any other agent. AGENTS.md holds the rules, the commands CI runs and the idea → PR loop; CONTRIBUTING.md is the short version. Only want to suggest something? /spec-idea, or the Product idea form.
MIT. The service it talks to is INITE.