Moxie Docs is an AI tool that automates codebase documentation and public help centers for GitHub, with features like searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

How does Moxie Docs detect documentation drift?

It automatically compares your codebase changes with existing documentation and alerts you when docs become outdated, ensuring accuracy.

What are Friday Cleanup PRs?

They are automated pull requests generated weekly to clean up and update documentation, reducing manual maintenance effort.

Can Moxie Docs integrate with AI agents?

Yes, it provides MCP (Model Context Protocol) context, allowing AI agents to access and understand your codebase documentation for better assistance.

Is Moxie Docs suitable for public help centers?

Absolutely. It can generate and maintain searchable help centers for your users, synced with your codebase.

Does Moxie Docs support private repositories?

Yes, it works with both public and private GitHub repositories, keeping your documentation secure and up-to-date.

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What is Moxie Docs?

Moxie Docs is an automated documentation tool that integrates directly with GitHub to generate and maintain codebase documentation and public help centers. It indexes selected repositories through a scoped GitHub App, producing architecture overviews, convention docs, and searchable content grounded in source code. The tool also provides an MCP (Model Context Protocol) server so AI coding agents like Cursor, Claude Code, and Codex can pull live, cited context instead of re-crawling the repo. Teams use Moxie Docs to keep documentation in sync with code, detect drift on every merge, and automate weekly cleanup PRs.

Application scenarios

Onboarding new engineers
Moxie generates searchable architecture overviews and module walkthroughs to help new team members get up to speed quickly.
AI-assisted development
Developers using AI coding agents can query Moxie’s MCP server for verified conventions, commands, and documentation, reducing token waste and wrong API assumptions.
Codebase documentation maintenance
Teams connect a GitHub repo, and Moxie re-indexes on every merge, flags affected pages, and regenerates stale docs with cited diffs.
Documentation drift detection
After each merged pull request, Moxie checks written docs against current source code, surfaces gaps, and regenerates impacted pages with explanations of what changed.
Weekly docs cleanup (Pro and Team plans)
Moxie batches small documentation fixes—stale pages, gaps, and drift—into a single pull request for review, with no auto-merges.
Private repository documentation
Works with private GitHub repos, with scoped access and encrypted tokens for security.

Core Features

GitHub App integration
Moxie connects to GitHub via a scoped app, encrypts tokens server-side, and uses code only to generate documentation and MCP context for your workspace.
Multi-language support
Works with any GitHub repository and recognizes major languages including TypeScript, JavaScript, Python, Go, Rust, Ruby, Java, PHP, SQL, Svelte, and Vue, with deepest structured analysis for TypeScript/JavaScript, Python, Go, Rust, and Ruby.
Automated re-indexing
Moxie re-indexes on every merge, flags pages affected by code changes, and regenerates stale documentation with cited diffs.
Friday Cleanup (Pro and Team)
Weekly docs-only automation that batches small fixes into a single pull request for team review—you hold the merge button.
MCP server for AI agents
Every plan includes an MCP server at /api/mcp with OAuth and bearer-token access, so compatible agents and editors pull current documentation, conventions, verified commands, and open gaps.
Documentation drift detection
Checks each merged PR against the documentation it touches, compares generated docs to current source, surfaces gaps in the workspace, and regenerates impacted pages.
Searchable docs
Generated documentation is fully searchable, making it easy to find architecture overviews, module walkthroughs, and conventions.

Target users

Moxie Docs is built for software development teams and individual developers who manage codebases on GitHub. It benefits engineering leads, DevOps engineers, and technical writers who need to keep documentation current without manual rewrites. AI-assisted developers using tools like Cursor, Claude Code, or Codex will also find value in the MCP server for pulling verified context.

How to use Moxie Docs?

Sign up for a 14-day free trial on the Moxie Docs website.
Connect a GitHub repository through the scoped GitHub App—select the repos you want to document.
Moxie automatically indexes your codebase and generates architecture overviews, convention docs, and searchable help content.
On every merge, Moxie re-indexes, detects drift, and regenerates impacted pages with cited diffs.
On Pro and Team plans, Moxie opens a Friday Cleanup PR each week for review (you decide whether to merge).
For AI coding agents, configure them to query the MCP server at /api/mcp for live, cited context.

Pricing and free trial

Moxie Docs offers three plans, each with a 14-day free trial:

Starter: $29/month
Pro: $79/month
Team: $199/month

Annual billing saves about two months versus monthly.

Effect review

Moxie Docs delivers on its core promise: automated, code-grounded documentation that stays in sync with your GitHub repositories. The drift detection and Friday Cleanup features address a real pain point for teams that struggle with stale docs, and the MCP server integration is a forward-thinking addition for teams using AI coding agents. While the website doesn’t include user testimonials or performance benchmarks, the feature set is well-defined and practical for engineering teams of any size. The pricing is competitive for a specialized tool, and the 14-day free trial allows teams to test it against their own codebase before committing. For developers tired of manual documentation rewrites, Moxie Docs is a solid, no-nonsense solution.

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