Build a production-grade SEO agent stack with Claude Code
Integrate the claude-seo MCP service to perform technical audits, E-E-A-T scoring, and schema validation using sub-skills and sub-agents. This architecture pre-filters noise through the MCP layer, effectively reducing token consumption and outputting structured diagnostic results.
Added 2026-11-03 · originally published Mon, 02 Nov 2026 17:58:59 +0000
Steps
- 1Run git clone https://github.com/AgriciDaniel/claude-seo.git to clone the repository.
- 2Navigate into the directory and run npm install to install dependencies.
- 3Add the claude-seo service configuration to the configuration file (.mcp/config.json) of Claude Code or Cursor, and configure the necessary API key environment variables.
- 4To retrieve real SERP rankings and Core Web Vitals, configure external API credentials such as Google Search Console and PageSpeed Insights; otherwise, only synthetic analysis will be performed.
- 5Call the MCP tool in the chat interface or via API to execute a technical audit, for example by calling technical_audit and passing the target URL and crawl depth.
Ideas for Chinese platforms
This approach can be applied to newsletter or independent site operations to troubleshoot SEO issues in articles or pages through automated technical audits and E-E-A-T scoring, standardize schema markup, and improve content visibility in search engines and future agent retrievals.
Please help me use the claude-seo tool to perform an in-depth technical audit on [https://example.com], set the depth to [2], and check for structured data, E-E-A-T scores, and the presence of llms.txt.
Related use cases
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