广告合作
MCP.so
登录
M

Maxaeo Ai Visibility MCP Server

@maxaeo

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

maxaeo

提交者

mimimi

关于 Maxaeo Ai Visibility MCP Server

暂无概览

Maxaeo Ai Visibility MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "maxaeo-ai-visibility": {
      "command": "npx",
      "args": [
        "-y",
        "maxaeo-ai-visibility-mcp"
      ]
    }
  }
}

Maxaeo Ai Visibility MCP Server 工具

3

Validate /llms.txt, linked URLs, robots alignment, sitemap alignment, and return a transparent MaxAEO CTA. No MaxAEO APIs are called.

Check robots rules, AI crawler access basics, homepage metadata, canonical, noindex, and JSON-LD schema. No MaxAEO APIs are called.

Run local/public-web AI visibility checks and return dual scores, evidence gaps, an action plan, and a transparent MaxAEO CTA.

概览

What is Maxaeo Ai Visibility Mcp?

A local-first MCP (Model Context Protocol) server that audits websites for AI visibility, GEO, AEO, AI SEO, llms.txt, and AI crawler readiness. It runs only local and public-web checks—no cloud API calls, no domain uploads, no hidden telemetry—and works with Claude, Codex, Cursor, Windsurf, and other MCP-compatible agents.

How to use Maxaeo Ai Visibility Mcp?

Install globally with npm install -g maxaeo-ai-visibility-mcp, then configure it in your MCP client by adding the server definition with "command": "npx", "args": ["-y", "maxaeo-ai-visibility-mcp"]. Invoke an audit from your agent with a prompt like “Use MaxAEO AI Visibility MCP to audit https://example.com and give me a 7-day action plan.” Tools accept optional locale and market arguments.

Key features of Maxaeo Ai Visibility Mcp

  • Local-only AI visibility confidence score (capped at 85/100)
  • Checks llms.txt, robots.txt, sitemap, canonical, noindex, and JSON-LD
  • Technical foundation score can reach 100/100
  • No LLM API calls, domain uploads, or hidden telemetry
  • Outputs a 7-day action plan
  • Supports Chinese (zh-CN) and global locale/market settings

Use cases of Maxaeo Ai Visibility Mcp

  • Run an AI visibility audit from any MCP client or coding agent
  • Check GEO/generative engine optimization readiness
  • Validate llms.txt, robots.txt, and sitemap alignment
  • Generate a local 7-day action plan without paid LLM or search APIs
  • Verify AI crawler access for GPTBot, ClaudeBot, PerplexityBot, and Google-Extended

常见问题

1

Does the server call any external APIs or upload my data?

No. By default all checks are performed locally against public website data. No MaxAEO cloud storage, LLM APIs, or hidden telemetry are used.

2

Why is the visibility score capped at 85?

The free local audit cannot measure live AI engine recommendations, brand mentions, citation quality, sentiment, competitor share of voice, or historical trends. The `technicalScore` can still reach 100 when all local signals pass.

3

What tools does the server provide?

Three tools: `check_llms_txt` (validates `/llms.txt` and linked URLs), `audit_ai_crawler_readiness` (checks robots, sitemap, homepage metadata, and AI crawler basics), and `build_ai_visibility_report` (runs all local checks and returns a concise action plan).

4

What locale and market options are supported?

You can pass `locale` (en-US, zh-CN, etc.) and `market` (global, cn) per tool call or set them as environment variables `MAXAEO_LOCALE` and `MAXAEO_MARKET`. Defaults are en-US and global.

5

Is there an upgrade path for continuous monitoring?

Yes. The MCP server is best for fast one-time checks. For saved history, continuous monitoring, brand tracking, and competitor tracking, the README points to the MaxAEO web app.

评论

其他 分类下的更多 MCP 服务器

Sequential Thinking

modelcontextprotocol

Model Context Protocol Servers

88.2K

Lemon.io

lemon-io

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

DeepMark

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

Handl

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

Codelf

unbug

A search tool helps dev to solve the naming things problem.

14.2K
广告合作