screaming-frog-mcp is a project hosted on GitHub that combines Screaming Frog SEO Spider with MCP (Model Context Protocol). Based on the available information, its use is focused on the field of technical SEO auditing: running headless crawls, exporting data, and performing technical SEO audits.
Purpose and main capabilities: This tool is aimed at users who need to automate SEO crawling workflows, such as SEO engineers, technical SEO consultants, or developers who want AI assistants to directly invoke crawling capabilities. It combines the crawling capabilities of Screaming Frog SEO Spider with MCP, so that crawling and data export can be completed in headless mode and can be used for technical SEO audits.
How to use: The information only indicates that it can run headless crawls, export data, and perform technical SEO audits, and does not provide specific installation commands, configuration methods, dependency requirements, command-line parameters, or usage examples. When using it, you need to configure it yourself by referring to the instructions in the project repository; currently, reproducible operating steps are not provided.
Applicable scenarios: Suitable for integrating SEO crawling into automated workflows, AI assistants, or agent environments, for tasks such as site structure checks, technical issue troubleshooting, and audit data export. Due to the lack of details, it is not possible to confirm the specific supported crawl scope, concurrency capabilities, or audit item list.
Limitations: The official website text is currently empty, and the usage documentation, license agreement, platform compatibility, whether a Screaming Frog commercial license is required, and runtime environment requirements in the repository are not yet provided. It is not possible to confirm the functional boundaries, pricing, or actual results, and users need to verify the latest project status themselves.
