mcp-seo-audit
Provides on-page SEO analysis via MCP tools, including page audits, schema extraction, robots.txt checks, sitemap parsing, and link analysis. No API keys required; works with any MCP-compatible client.
README
mcp-seo-audit

On-page SEO analysis as MCP tools.
An MCP server that exposes on-page SEO analysis — metas, structured data, robots.txt, sitemaps and links — as tools any MCP-compatible client can call. No API keys, no accounts: everything runs off plain public-page fetches.
Tools
| Tool | Returns |
|---|---|
audit_page |
Title/meta lengths, canonical, robots meta, Open Graph & Twitter cards, headings outline, image alt coverage, word count, lang, hreflang |
extract_schema |
Every JSON-LD block parsed, @type values, parse errors |
check_robots |
robots.txt user-agent groups, allow/disallow rules, declared sitemaps |
parse_sitemap |
URL counts, lastmod sample, nested sitemap indexes |
extract_links |
Internal/external/nofollow split, optional broken-link check |
The server returns structured data and leaves the interpretation to the client. The same tools drive a quick audit, a competitor comparison, or a full crawl conversation.
Install
git clone https://github.com/mk-techi/mcp-seo-audit
cd mcp-seo-audit
npm install
npm run dev
A working server prints mcp-seo-audit ready and waits for a client on stdio.
Usage
Register the server with any MCP client. Example configuration:
{
"mcpServers": {
"seo-audit": {
"command": "npx",
"args": ["tsx", "/absolute/path/to/mcp-seo-audit/src/index.ts"]
}
}
}
On Windows, wrap the command in cmd:
{
"mcpServers": {
"seo-audit": {
"command": "cmd",
"args": ["/c", "npx", "tsx", "C:\\path\\to\\mcp-seo-audit\\src\\index.ts"]
}
}
}
Once connected, the five tools are available. Example prompts:
- Audit example.com and give me a prioritized fix list.
- Does this page have valid JSON-LD? Which types?
- Compare the on-page SEO of my landing page against a competitor's.
- Find broken internal links on the homepage.
Build
npm run build # emits dist/
npm start # runs the compiled server
Roadmap
crawl_site— follow internal links up to N pages and aggregate issues- Core Web Vitals via the public CrUX API
- Schema validation against schema.org definitions
- Publish to npm (
npx mcp-seo-audit)
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。