mcp server
SEO Page Analyzer
SEO audit any URL: meta tags, headings, links, images, Schema.org, score 0-100. x402.
Description as published by the maintainer. Source
- version 1.2.0
- active
active — Most recent push to the repository was 2026-07-19.
What this server can do
2 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
seo_audit_batch(urls)- Use this when you need to compare SEO health across multiple pages at once (up to 10 URLs). Returns the same full audit as seo_audit_page for each URL in a single call. 1. results (array) -- each entry contains the full SEO audit (score, title, meta, headings, links, images, schema, issues) 2. summary -- average score, worst-performing URL, most common issues across all pages Example output: {"results":[{"url":"https://a.com","score":85},{"url":"https://b.com","score":62}],"summary":{"avgScore":73,"worstUrl":"https://b.com"}} Use this FOR competitor analysis, sitemap audits, or comparing landing pages side by side. Essential when benchmarking multiple pages in one workflow. Do NOT use for single URLs -- use seo_audit_page instead. Do NOT use for content extraction -- use web_scrape_batch instead. Required: urls.
seo_audit_page(url)- Use this when you need to analyze a webpage's on-page SEO health. Returns a structured JSON audit with score 0-100 and prioritized recommendations. 1. score (number 0-100) -- overall SEO health score 2. title -- tag content, length, keyword presence 3. metaDescription -- content, length, truncation risk 4. canonical -- canonical URL and self-referencing check 5. headings -- H1/H2/H3 hierarchy, count, missing H1 flag 6. links -- internal count, external count, broken link flags 7. images -- total count, missing alt text count 8. schema -- Schema.org types detected (Article, Product, FAQ, etc.) 9. openGraph -- og:title, og:image, og:description completeness 10. performance -- page load time in ms, word count 11. issues -- prioritized array of problems with severity (critical/warning/info) Example output: {"score":72,"title":{"content":"My Page","length":7},"headings":{"h1":1,"h2":3},"images":{"total":5,"missingAlt":2},"issues":[{"severity":"critical","message":"Missing meta description"}]} Use this BEFORE optimizing any webpage, writing SEO recommendations, or auditing a client's site. Essential for competitive page-level analysis and content audits. Do NOT use for content extraction -- use web_scrape_to_markdown instead. Do NOT use for screenshots -- use capture_screenshot instead. Do NOT use for tech detection -- use website_detect_tech_stack instead. Do NOT use for domain-level data (WHOIS/DNS) -- use domain_lookup_intelligence instead. Required: url.
Last successful function declaration observed on . Source: https://seo-analyzer.api.klymax402.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://seo-analyzer.api.klymax402.com/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-19 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.2.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-05-16 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-05-16 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 2 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | seo-analyzer.api.klymax402.com | |
| mcp endpoint status | ok | The server listed 2 functions when asked. | as of probe | seo-analyzer.api.klymax402.com |
Where to get it
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These share tags the maintainers applied themselves, such as monitoring, security, x402. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
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How the author describes it
Topics the maintainer set on GitHub: ai-agents, mcp, mcp-server, monitoring, security, x402.
This record as data
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