Software Documentation Analysis

This MCP server for evaluating README structure, developed by an unnamed author, integrates with the Model Context Protocol to provide AI assistants with tools for analyzing and improving documentation. Built with TypeScript and leveraging libraries like Cheerio and Marked, it offers capabilities for parsing Markdown, extracting key sections, and assessing overall document structure. The server abstracts the complexities of README analysis, allowing AI systems to easily incorporate documentation evaluation into their workflows. It's particularly useful for developers, technical writers, and AI assistants focused on improving software documentation, enabling use cases like automated README quality checks, content organization suggestions, and standardization of project documentation across repositories.