Local-first MCP server for AI visibility, GEO/AEO, llms.txt, and AI crawler readiness audits.
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io.github.maxaeo/maxaeo-ai-visibility-mcp is an MCP server that local-first MCP server for AI visibility, GEO/AEO, llms.txt, and AI crawler readiness audits. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 54/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"maxaeo-ai-visibility": {
"args": [
"-y",
"maxaeo-ai-visibility-mcp"
],
"command": "npx"
}
}
}Are you the author?
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Local-first Model Context Protocol (MCP) server for AI visibility audits, GEO, AEO, AI SEO, llms.txt, and AI crawler readiness in Claude, Codex, Cursor, Windsurf, and other MCP-compatible agents.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'maxaeo-ai-visibility-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked maxaeo-ai-visibility-mcp against OSV.dev.
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Chrome DevTools for coding agents
Monitor browser logs directly from Cursor and other MCP compatible IDEs.
🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.
MCP server paired with a browser extension that enables AI agents to control the user's browser.
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Local-first Model Context Protocol (MCP) server for AI visibility audits, GEO, AEO, AI SEO, llms.txt, and AI crawler readiness in Claude, Codex, Cursor, Windsurf, and other MCP-compatible agents.
It helps Claude, Codex, Cursor, and other MCP-compatible agents check whether a public website is crawlable, understandable, and ready for AI search workflows. By default, it only performs local/public-web checks. It does not call MaxAEO cloud APIs, upload user domains, invoke LLM APIs, or use hidden telemetry.
Install from npm:
npm install -g maxaeo-ai-visibility-mcp
Add to an MCP client:
{
"mcpServers": {
"maxaeo-ai-visibility": {
"command": "npx",
"args": ["-y", "maxaeo-ai-visibility-mcp"]
}
}
}
Run an audit from your agent:
Use MaxAEO AI Visibility MCP to audit https://example.com and give me a 7-day action plan.
For command-mode Claude and Codex workflows, see the MaxAEO AI Visibility Agent Kit.
If you want to list this project in an MCP directory, awesome list, AI SEO resource list, GEO resource list, or llms.txt tooling index, use concise factual copy:
[MaxAEO AI Visibility MCP](https://github.com/maxaeo/maxaeo-ai-visibility-mcp) - Local-first MCP server for GEO/AEO and AI visibility audits. Checks llms.txt, AI crawler access, robots, sitemap, canonical, metadata, noindex, and JSON-LD; returns local-only visibility score, technical foundation score, top issues, and a 7-day action plan. Install: `npx -y maxaeo-ai-visibility-mcp`.
For Claude and Codex command workflows, list the MaxAEO AI Visibility Agent Kit.
llms.txt, robots.txt, sitemap alignment, canonical URLs, noindex, metadata, and JSON-LD.Common search intents this MCP server targets:
llms.txt checker| Tool | Purpose |
|---|---|
check_llms_txt | Validate /llms.txt, linked URLs, robots alignment, and sitemap alignment. |
audit_ai_crawler_readiness | Check robots rules, sitemap availability, homepage metadata, canonical, schema, and AI crawler access basics. |
build_ai_visibility_report | Run the local checks and return a concise action plan with MaxAEO CTA. |
All tools support:
| Option | Values | Purpose |
|---|---|---|
locale | en-US, en, global, zh-CN, zh, cn | Output language. |
market | global, cn | CTA market. global points to maxaeo.ai; cn points to maxaeo.cn. |
ctaBaseUrl | URL | Optional custom MaxAEO CTA landing page. |
npm install -g maxaeo-ai-visibility-mcp
maxaeo-ai-visibility-mcp
{
"mcpServers": {
"maxaeo-ai-visibility": {
"command": "npx",
"args": ["-y", "maxaeo-ai-visibility-mcp"]
}
}
}
The top-level score is a local-only AI visibility confidence score, capped at 85/100 because this free local audit does not measure live AI engine recommendations, brand me