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Moxie DocsPut your repository knowledge exactly where your team needs it

Index your GitHub repo once. Get MCP context for AI agents, searchable docs, and automated PR checks that keep documentation in sync with your code.

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More About Moxie Docs

Moxie Docs

Moxie Docs is an AI-powered documentation platform that transforms your GitHub repositories into living, searchable knowledge bases. By indexing your entire codebase once, it delivers repo conventions and documentation directly to your AI agents via MCP, creates a searchable workspace for engineers, and automates PR checks to keep documentation honest and up-to-date.

Product Highlights

  • One-Click Indexing: Moxie reads your source, tests, docs, and history once, then keeps everything current on every merge
  • MCP Context for AI Agents: Scoped, read-only conventions and verified commands for Cursor, Claude Code, Codex, and Copilot—no dumping half your repo into chat
  • Searchable Workspace: Generated architecture docs, conventions, and walkthroughs alongside your existing Markdown, all cited back to source
  • PR Automation: Aligned descriptions, doc-impact checks, and Friday Cleanup PRs that catch documentation gaps before they rot
  • Changelog Generation: Every merge summarized into audience-split entries ready for release notes or Slack

Use Cases

  • AI-Assisted Development: Give your coding agents instant context on repo conventions so changes land correctly the first time, reducing rework and token costs
  • Engineer Onboarding: Replace Slack scavenger hunts with a searchable workspace where new hires find architecture, conventions, and cited answers
  • Documentation Hygiene: Automated PR checks and weekly Cleanup PRs ensure docs never fall behind code changes
  • Release Communication: Auto-generated changelogs split by internal and external audiences, grouped by your preferred timeline

Target Audience

Development teams using GitHub who want to reduce onboarding friction, cut AI agent costs, and stop documentation from rotting—especially useful for teams with multiple services, complex conventions, or high engineer turnover.

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