Moxie Docs logo

Moxie Docs

Freemium
Visita

Moxie Docs si collega a GitHub e trasforma i repository privati in documentazione consultabile, report sulle lacune, contesto MCP per agenti AI e PR di riordino da sottoporre a revisione. Supporta anche centri assistenza pubblici e notifiche Slack sugli aggiornamenti.

Cos'è Moxie Docs?

Moxie Docs is a GitHub-connected documentation product that turns a code repository into searchable docs, convention summaries, gap reports, and an MCP context layer for AI agents. It is designed for private repositories and uses a scoped GitHub App so it only reads the repositories a team selects.

The product also supports public-facing help centers and ongoing maintenance workflows. It re-indexes after merges, detects documentation drift, and on higher plans opens reviewable Friday Cleanup pull requests so teams can keep docs current without rewriting them by hand.

Cosa può fare Moxie Docs?

GitHub repo indexing

Connect a scoped GitHub App to selected repositories, then index the codebase to generate architecture pages, convention summaries, gap reports, and searchable docs grounded in the repository itself.

Documentation drift detection

Flag pages affected by code changes and compare merged pull requests against the documentation they touch so teams can see stale or missing content early.

MCP context for AI agents

Expose current docs, conventions, commands, and open gaps through an MCP endpoint so compatible agents and editors can query repository context while working.

Friday Cleanup PRs

Open weekly reviewable docs-only pull requests on Pro and Team plans to batch small fixes, stale pages, and gaps into a single cleanup review.

Public help centers

Publish a searchable hosted knowledgebase for users, developers, or both, with human review before anything goes public and content stored as Markdown in git.

Slack notifications

Send Friday Recap and new documentation PR notifications to Slack so updates appear in a team channel with a link to review.

Casi d'uso

“Onboard engineers faster”

A team onboarding new engineers can generate searchable architecture pages and convention guides from the repo, then keep them updated as the code changes.

“Keep internal docs aligned with code”

A staff engineer or tech lead can surface stale pages, documentation gaps, and drift on each merge, then review the resulting cleanup PRs before they land.

“Give AI tools repository context”

An AI engineer or developer using MCP-compatible tools can pull verified conventions, commands, and current context directly from the repository index instead of re-reading files manually.

“Publish a public help center”

A startup or product team can publish a user-facing knowledgebase or help center from the same source material, with human review before pages become public.

“Surface doc updates in Slack”

A team active in Slack can receive Friday Recap summaries and new documentation PR notifications in a channel where reviewers already work.

Domande frequenti

How does Moxie Docs work?

Moxie Docs connects to a GitHub repository through a scoped GitHub App, indexes the selected codebase, and generates searchable docs, gap reports, and MCP context. On Pro and Team plans it also runs Friday Cleanup to open reviewable docs-only PRs.

Does Moxie Docs work with private repositories?

Yes. The product is built for private GitHub repositories, and the app only accesses the repositories you choose. Documentation changes are proposed as pull requests, and your team reviews and merges them.

Can AI coding agents use Moxie Docs?

Yes. Every plan includes an MCP context endpoint for compatible agents and editors. The site says agents such as Cursor, Claude Code, and Codex can pull verified conventions and context from the repository index.

What does Moxie Docs cost?

Pricing starts at $29 per month after a 14-day free trial on Starter, with Pro at $79 per month and Team at $199 per month. Annual billing is also available, and the site says annual plans are priced at two months free compared with monthly billing.

What languages does Moxie Docs support?

Moxie Docs supports documentation and search for any GitHub repository and recognizes major languages including TypeScript, JavaScript, Python, Go, Rust, Ruby, Java, PHP, SQL, Svelte, Vue, Kotlin, Swift, Elixir, and Zig. The site says its deepest structured convention analysis is for TypeScript/JavaScript and Python.

Informazioni rapide

Category
Developer Tool
Platform
GitHub
Primary users
Engineers, engineering teams, and AI agents
Pricing model
Paid plans with a 14-day free trial
Starting price
$29/month after trial
Website
moxiedocs.com

Analisi del traffico di Moxie Docs

I dati sul traffico sono solo a scopo di riferimento.

Domain Rating
33

Alternative a Moxie Docs

SkillsMP logo

SkillsMP

skillsmp.com

SkillsMP è un marketplace gratuito per scoprire competenze per agenti open source in repository GitHub pubblici, con ricerca, navigazione, API REST e accesso MCP per Claude Code, Codex CLI e ChatGPT.

Task Monki logo

Task Monki

www.monki.work

Task Monki è un’app desktop per gestire le attività degli agenti di codifica, dalla richiesta iniziale alla revisione e alla pull request. Supporta il monitoraggio delle attività, le anteprime locali, le revisioni indipendenti e la consegna tramite GitHub senza merge automatici.

Prelint logo

Prelint

prelint.com

Prelint esamina le pull request in base alle specifiche di prodotto e alle regole decisionali, per individuare deviazioni, contraddizioni e disallineamenti prima del rilascio delle modifiche. È pensato per i team che conservano il contesto del prodotto nel repository e vogliono una traccia di controllo per ogni revisione.

VibeRaven logo

VibeRaven

viberaven.dev

VibeRaven analizza repository creati con l’IA, rileva lacune per la produzione e crea prompt mirati per agenti di coding.

TraceBug logo

TraceBug

tracebug.dev

TraceBug è uno strumento local-first per la segnalazione dei bug che cattura i problemi del browser in un report .html autonomo, pronto per essere condiviso offline con gli sviluppatori. Supporta anche il debugging locale basato su MCP e l’esportazione per i comuni flussi di gestione e condivisione dei problemi.