web MCP Server
AI Citation Toolkit — 14 MCP tools to audit, score, and rewrite web pages for AI-citation eligibility (AEO/GEO/LLM visibility). Read-only, no API keys, works in any MCP client.
Discovered via github-topic:model-context-protocol and last synced 1mo ago.
1. Install the package
npx -y @automatelab/ai-seo-mcp
2. Add to claude_desktop_config.json
{
"mcpServers": {
"automatelab-ai-seo-mcp": {
"command": "npx",
"args": [
"-y",
"@automatelab/ai-seo-mcp"
]
}
}
}Config file location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows)
Composite AI-SEO audit with 8-dimension scoring (schema, technical, structure, robots, freshness, authority, entity density, sitemap).
Validate JSON-LD against Schema.org rules and AI-citation best practice. Flags deprecated patterns.
Canonical link integrity, trailing-slash hygiene, `og:url` consistency.
Score a page's probability of appearing in Google AI Overviews using current correlation factors.
Lint an existing `llms.txt` for spec compliance and broken links.
Score how citable a page or text block is for Perplexity, ChatGPT, Google AI Overviews, and Claude. Includes per-section `chunk_analysis` / `extractability_score`: how cleanly an LLM can lift a standalone answer from each heading.
Rewrite content for Answer Engine Optimization (BLUF structure, FAQ format, schema additions).
Validate XML sitemaps: presence, URL count, `lastmod` freshness, image/video extensions.
Extract named entities, `sameAs` links, and citation-density score from a page's content and structured data.
Compare two URLs for AI citation-worthiness: side-by-side dimension scores, gap analysis, and prioritized fix recommendations for url_a.
Generate `llms.txt` and optionally `llms-full.txt` from a domain's sitemap.
Parse `robots.txt` and report per-crawler allow/disallow for all known AI crawlers. Surfaces the GPTBot-blocked-but-OAI-SearchBot-allowed trap.
Rewrite content for Generative Engine Optimization (entity definitions, comparison tables, synthesis-ready structure).
Purpose
Rewrite content for Answer Engine Optimization (BLUF structure, FAQ format, schema additions).
Simulate "would an AI engine cite this for this query?" via MCP sampling, with deterministic heuristic fallback.
Single-call site sweep: `audit_page` + `check_robots` + `check_sitemap` + `audit_schema` with overall grade and top-5 fixes.
Generate `llms.txt` and optionally `llms-full.txt` from a domain's sitemap.
Rewrite content for Generative Engine Optimization (entity definitions, comparison tables, synthesis-ready structure).
Render an `audit_page` / `audit_site` result as a Markdown report and write it to disk under `MCP_WORKSPACE_ROOT`.
HEAD tag audit: canonical, OpenGraph, Twitter Card, hreflang, HTTPS, noindex, title hygiene.
Site-wide content audit: stride-sample N URLs from the sitemap, run `audit_page` on each, return distribution + worst pages + top findings.
Lint an existing `llms.txt` for spec compliance and broken links.
Score a page against the Lighthouse "Agentic Browsing" category (May 2026): llms.txt, WebMCP, accessibility-tree integrity, and layout stability.
Use when running OpenCLI commands to interact with websites (Bilibili, Twitter, Reddit, Xiaohongshu, etc.), desktop apps (Cursor, Notion), or public APIs (HackerNews, arXiv). Covers installation, command reference, and output formats for 87+ adapters.
AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.
MUST use for ANY PDF or image format conversion task — converting PDF and images (JPG/JPEG/PNG/BMP/TIFF/TIF/WEBP/JPEG2000) to 10 formats (Word, Excel, PPT, H...
Unified multi-provider web search and URL extraction skill with intelligent auto-routing across Serper, Brave, Tavily, Querit, Linkup, Exa, Firecrawl, Perple...
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