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.
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