Automated Codebase Documentation for AI Agents

Moxie Docs provides automated, searchable documentation for your GitHub repositories, ensuring your AI agents have access to the most accurate and up-to-date information. It integrates seamlessly with popular AI coding assistants like Cursor and Claude Code, offering them crucial context through the Model Context Protocol (MCP).

Key features include:

• Searchable Docs: Generate and maintain a searchable knowledge base directly from your source code.

• MCP Context: Enhance AI agent performance by providing verified codebase conventions, documentation, and commands, reducing token waste and improving accuracy.

• Doc Drift Detection: Automatically detect when documentation no longer matches the code and flag these discrepancies.

• Friday Cleanup PRs: On Pro and Team plans, Moxie automatically opens weekly pull requests for documentation updates and fixes, ensuring your docs stay current without manual effort. These are reviewable docs-only PRs, keeping merge control with your team.

• Broad Language Support: While offering deepest analysis for TypeScript, JavaScript, Python, Go, Rust, and Ruby, Moxie works with any GitHub repository and recognizes major languages like Java, PHP, SQL, Svelte, and Vue.

• Onboarding Assistance: Streamline the onboarding process for new engineers by providing a centralized, searchable, and up-to-date source of truth for your codebase.

Moxie Docs is designed for fast-moving dev teams looking to ship code faster by leveraging reliable documentation that AI agents can trust.