你的SEO和分析——就在你的AI助手内部
通过模型上下文协议将Astrina连接到Claude、ChatGPT或Gemini。用简单的语言询问,立即获取你的真实流量、排名和SEO审计——无需代码,无需导出,无需切换标签。
示例。实时工具返回来自你自己网站的真实数据。
两分钟内连接
一个端点,一个密钥。只需添加一次,你的助手就可以查询你账户中的每个站点。
获取您的 API 密钥
在/my/api.php创建一个密钥——它验证连接。
添加MCP服务器
在Claude、ChatGPT或Cursor中添加一个远程MCP服务器,URL为https://astrina.io/mcp,并将你的密钥作为Bearer令牌。
只需询问
“对我的网站进行SEO审计”,“我这周的流量是多少”,“哪些关键词下滑了?”——用简单的语言。
Claude & ChatGPT:一键连接
将https://astrina.io/mcp添加为远程MCP,并使用你的Astrina账户登录——无需复制API密钥。下面的配置仅适用于需要密钥的客户(例如Cursor)。
使用mcp-remote的客户配置(Claude桌面版,Cursor):
对于网页上的Claude或ChatGPT,直接将https://astrina.io/mcp添加为自定义连接器/远程MCP,并粘贴你的API密钥。将${ASTRINA_API_KEY}替换为你的真实密钥。
{
"mcpServers": {
"astrina": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://astrina.io/mcp",
"--header", "Authorization:Bearer ${ASTRINA_API_KEY}"]
}
}
}你的助手可以做什么
26 工具:您的实时分析 — 以及经过加密证明的验证公共网络访问,供 AI 代理使用。
astrina_list_sitesList the websites in your Astrina account (domain, title, SEO score). Call this FIRST to discover which domains the other tools can query.
astrina_site_overviewOne-call snapshot of a site: visitors & pageviews, top traffic sources and countries, SEO score, latest audit grade, tracked-keyword visibility and backlinks.
astrina_trafficPrivacy-first web analytics for a site: visitors, pageviews, visits, and breakdowns by source, country or page — or a daily time series.
astrina_seo_auditThe latest full SEO audit for a site — overall score, pass/warn/fail counts and the prioritised list of issues to fix. Set refresh:true (or if none exists) to queue a fresh 141-check audit.
astrina_rankingsKeyword rankings for a site: current search position, weekly change, landing URL and clicks for each tracked keyword, plus an overall visibility score.
astrina_backlinksBacklink profile summary for your account (total / live / lost links and status breakdown).
astrina_business_signalsInternal business metrics a site pushes to Astrina (users, registrations, materials, payments, moderation …) with today's value and 30-day change.
astrina_list_utilitiesList the Astrina SEO/web utilities runnable over the API (name + what each does), so you know what to pass to astrina_run_utility.
astrina_run_utilityRun one Astrina utility on a URL or value — e.g. headers, meta tags, robots.txt, SSL, redirects, DNS. Use astrina_list_utilities for the names.
pulsar_network_statusLive status of the Pulsar distributed device network: devices live/enrolled, verified checks in the last 24h, consensus rate and a 0-100 health score. No arguments.
pulsar_check_linkCheck whether a URL or domain appears in the Pulsar threat feed (phishing / malware / scam) before trusting or clicking it. Returns listed + category + sources.
pulsar_ai_benchmarkThe Pulsar network's honest, measured AI benchmark: how often the AI agrees with human consensus on held-out golden tasks, human calibration accuracy, and total labels resolved. Values are null when there is not enough data. No arguments.
pulsar_coverageWhere the Pulsar network is right now: the top countries by verified checks in the last 7 days. No arguments.
pulsar_inference_capacityHow much of the Pulsar fleet can run AI on-device: AI-capable devices, live devices, fleet coverage percent, and verified on-device inferences. No arguments.
pulsar_fetchFetch a PUBLIC web page from the Pulsar network vantage — a stable egress IP that gets past many bot-walls that block AI agents. Returns final URL, HTTP status, title, description, readable text (truncated), content SHA-256 + SimHash, latency and the vantage IP. Use for grounding/RAG when your own fetch is blocked or you need a neutral vantage.
pulsar_observePROOF-OF-OBSERVATION: fetch a public URL and return a cryptographically SIGNED statement (Ed25519) attesting to exactly what existed at that URL right now — content hash, SimHash, title, timestamp. Anyone can verify the signature against the network public key (pulsar_pubkey) offline, forever. Use to create tamper-evident evidence, provenance, or a citation you can prove later.
pulsar_verify_observationVerify a proof-of-observation from pulsar_observe: checks the Ed25519 signature over the canonical statement against the network public key. Pure verification, no fetching. Returns valid true/false + the statement.
pulsar_verify_claimGround a factual claim against the live web: fetch the URL from the Pulsar vantage and check whether the claim is actually supported by the page. Returns a verdict (supported / likely_supported / partial / not_found), keyword overlap, an evidence snippet, and a SIGNED observation of the page so you can prove what it said. Use before asserting a fact from a source (anti-hallucination).
pulsar_freshnessHas a page changed? Fetch a URL and return its current content SHA-256 and SimHash. Pass a hash you saw before to get changed true/false and a SimHash distance — so you know whether your cached/RAG copy is stale.
pulsar_embedDeterministic, verifiable content fingerprint (32-bit SimHash) of text or a fetched URL — the same locality-sensitive hash every Pulsar device computes, so near-duplicate content gets near-identical hashes (compare by Hamming distance). Cheap dedup/similarity for RAG. Provide "text" OR "url".
pulsar_pubkeyThe Pulsar network Ed25519 public key (hex) used to sign proofs of observation. Use it to verify pulsar_observe signatures offline. No arguments.
pulsar_verify_actionVerify an AI agent actually completed a web action: fetch the URL and confirm the expected text/result is present now — with a signed observation as proof. Use after your agent posts/edits/publishes to confirm it went live.
pulsar_vantageGeo vantage: measure a URL from a specific COUNTRY on the Pulsar device network (reachability + speed as seen from there), or list the countries currently available. Call with no country to see available vantages.
pulsar_ai_visibilityHow AI sees a brand/domain: ask a live LLM what it knows about a domain and whether it recommends it, and detect whether the domain is mentioned. Useful for AEO / AI-visibility monitoring. Returns the answer, mentioned true/false, and the model used.
pulsar_crawlBuild a small provenance-stamped dataset from public URLs: fetch each, dedupe near-duplicates by SimHash consensus, and return a manifest with a deterministic dataset hash + a signed attestation. For RAG/training corpora whose provenance you can prove.
pulsar_inferEmbed text into a vector using the network inference layer: a real neural embedding when a model is configured, else the deterministic 32-bit SimHash. Returns the vector (or its dimensions + hash) and which backend produced it.
你的SEO和分析——就在你的AI助手内部
此页面回答的问题
- astrina MCP
- astrina MCP 指南
- astrina MCP 解释
- astrina MCP 教程
- 开始使用 Astrina MCP
- astrina MCP 最佳实践
- astrina MCP 逐步
- 什么是 Astrina MCP
- astrina MCP 适合初学者
- astrina MCP 清单
- astrina MCP 示例
- 为什么 Astrina MCP 重要