A side-by-side look at the Aeo MCP and Agent Security Scanner MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Aeo MCP for security work as a local process; choose Agent Security Scanner MCP for security as a local process. You can also run both side by side in one mcpServers block.
audit_url, check_ai_crawlers, inspect_llms_txt.Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Security | Security |
| Quality signal | 53/100 · Good | 49/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 124 |
| Directory activity | 2 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 5 | Not listed |
| Full listing | View Aeo MCP | View Agent Security Scanner MCP |
audit_urlRun a full AI-readiness (AEO) audit of a website: 29 checks across AI crawler access, structured data, content extractability, and answerability, returning a 0-100 score with prioritized fixes. Use when asked how visible a site is to ChatGPT, Perplexity, Gemini, or Claude, or for an overall AEO/AI-SEO health check.check_ai_crawlersCheck whether AI crawlers like GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, and Bingbot are allowed to read a website, based on its robots.txt. Use when asked about AI visibility, AEO, crawler permissions, or why a site does not appear in ChatGPT or Perplexity.inspect_llms_txtFetch and validate a website's llms.txt file (the Markdown file that tells AI engines what the site is about and which pages matter). Returns its title, summary, sections, links, and any structural issues. Use when asked whether a site has llms.txt or how to improve it.extract_structured_dataExtract and summarize a page's JSON-LD structured data (schema.org): which types exist (Product, Article, FAQPage, Organization), their key fields, and any parse errors. Use when asked whether a page has the schema markup AI answer engines rely on for citations.extract_page_signalsExtract the on-page signals AI engines parse: title, meta description, h1, canonical, lang, text-to-HTML ratio, heading outline, and whether the page looks client-side rendered (invisible to most AI crawlers). Use to diagnose why engines misread or skip a page.No tool names declared yet. Check the project README from the listing page.
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
{
"mcpServers": {
"aeo-mcp": {
"command": "npx",
"args": [
"-y",
"aeo-mcp"
]
}
}
}
{
"mcpServers": {
"agent-security-scanner-mcp": {
"command": "npx",
"args": [
"-y",
"agent-security-scanner-mcp"
]
}
}
}