Moxie Docs

    Moxie Docs

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    Category:Artificial Intelligence
    Pricing:Freemium
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    June 19, 2026
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    Moxie Docs

    Automatically generates and updates GitHub documentation. Detects code drift and provides context for AI agents via the MCP protocol.

    General Information about Moxie Docs

    Moxie Docs is an advanced technical documentation solution designed to integrate directly with GitHub repositories, automating the creation and maintenance of manuals, architecture docs, and coding conventions. Its primary purpose is to solve the problem of "documentation drift," which occurs when code evolves rapidly through AI assistants while technical documents become obsolete. This tool acts as a context layer that enables development teams to maintain consistency between what the code does and what the documentation says.

    The core functionality of Moxie Docs is based on a three-stage process: connection, generation, and synchronization. By linking a repository, the tool indexes the source code and automatically generates architecture pages and convention guides with direct citations to the code. It utilizes artificial intelligence to identify patterns and gaps in existing information. One of its most significant innovations is the implementation of the Model Context Protocol (MCP), which allows other AI agents—such as ClaudeCursor, or GitHub Copilot—to access pre-structured, dense repository context without having to re-explore the entire file structure for every query.

    Key functional capabilities of Moxie Docs include:

    • Living documentation generation: Creates architecture guides, style conventions, and technical walkthroughs that include precise references to the specific lines of code they originate from.
    • Drift detection: Analyzes every Pull Request (PR) to identify if code changes contradict current documentation, suggesting automatic updates.
    • Optimized context for agents: Through the MCP protocol, it reduces token consumption for coding assistants by providing them with relevant, verified information immediately.
    • Friday Cleanup: A weekly workflow that bundles changes detected throughout the week into a single documentation PR for manual review.
    • Description alignment: Automatically adjusts PR descriptions to match team templates, improving traceability.

    This tool is aimed at software engineers and development teams looking to maximize productivity through workflow automation. By centralizing technical knowledge in a searchable workspace, it facilitates developer onboarding and ensures design decisions are respected throughout the project lifecycle. Moxie Docs prioritizes security through restricted access via a GitHub App, ensuring the AI never merges code without human supervision while maintaining the privacy of sensitive data and environment variables. It is a practical solution for those who need their technical documentation to be as agile as their development.

    Features and Use Cases of Moxie Docs

    Generates automated documentation by referencing source code directly from GitHub repositories.
    Detects discrepancies between code and documentation during every branch merge to prevent documentation rot.
    Provides structured context to AI agents via the MCP protocol to reduce token consumption.
    Syncs architectural conventions and style guides with tools like Cursor, Claude, and GitHub Copilot.
    Automatically creates pull requests to update documentation without making direct changes to the source code.
    Organizes a weekly cleanup every Friday with a summary of changes and pending documentation updates for review.
    Provides a workspace with integrated search to streamline onboarding for new engineers.
    Implements enterprise-grade security via a GitHub App with scoped access to specific repositories.
    Automatically keeps pull request descriptions aligned with team templates.
    Acts as a context layer to prevent AI agents from having to reindex the entire repository for every query.

    How Moxie Docs Works

    1Sign in and connect your GitHub repository by authorizing access to the specific repositories of your choice.
    2Wait a few minutes for the tool to analyze the code and identify codebase conventions and information gaps.
    3Review the auto-generated documentation, which includes architecture pages and convention guides with direct citations to the source code.
    4Manage documentation proposals submitted as Pull Requests to manually review and approve them before merging.
    5Connect your AI agents, such as Claude, Cursor, or GitHub Copilot, to the tool’s MCP server to provide them with structured context in real time.
    6Use the search system to locate specific conventions or architectural details without having to browse through every file in the repository.
    7Monitor documentation drift notifications that are automatically generated after every merge to detect outdated content.
    8Review the cleanup Pull Request generated every Friday, which includes the necessary changes to ensure the documentation aligns with the code's weekly evolution.
    9Adjust your Pull Request descriptions using the auto-alignment feature to match your team's templates.

    Frequently Asked Questions about Moxie Docs

    What is Moxie Docs and how does it help my development team?

    It is a tool that automatically generates documentation for your GitHub repositories and provides structured context so AI agents can understand your code without getting lost.

    Will Moxie Docs automatically modify my source code?

    No, the tool never makes direct changes to your code or merges branches on its own, as all documentation updates are presented as pull requests that you must approve.

    How does Moxie Docs’ MCP context help reduce token consumption?

    By providing a dense, cited context layer, AI agents don't need to re-read the entire repository for every query, which optimizes token usage and improves response accuracy.

    Is it safe to connect my private repositories to the platform?

    Yes, the connection is made via a GitHub App with permissions limited to the repositories you select, and your code is never used to train external language models.

    What is the Friday Cleanup feature?

    It is a weekly review that bundles all code changes to generate a single documentation update request, allowing the team to keep everything current with just one click every Friday.

    What happens if the code changes and the Moxie Docs documentation becomes outdated?

    The system automatically detects the discrepancy after every code merge and generates an update proposal to fix the affected documents, preventing the information from becoming obsolete.

    Does Moxie Docs offer a trial version to evaluate the service?

    Yes, you can enjoy a 14-day free trial with full access to indexing and document generation features to see how it fits into your workflow.

    Which AI agents is the tool compatible with?

    It works with the most popular agents on the market, including Claude, Cursor, GitHub Copilot, VS Code, Gemini, and Windsurf, among others.

    Moxie Docs Pricing

    Open Source

    Free upon request for open-source project maintainers.

    • Free access to tool features for public repositories.

    Starter

    $29 per month or $290 yearly (includes a 14-day free trial).

    • Up to 5 active private repositories.
    • 1 user (seat).
    • 2,000 indexed file limit per repository.
    • Up to 10 documentation update Pull Requests (PRs) per repository per month.
    • Searchable documentation.
    • Bookmarks and highlights.
    • MCP context for every connected codebase.

    Pro

    $79 per month or $790 yearly (includes a 14-day free trial).

    • Up to 15 active private repositories.
    • 10 users (seats).
    • 5,000 indexed file limit per repository.
    • Up to 25 cleanup PRs per repository per month.
    • Weekly "Friday Cleanup" feature (automated documentation cleanup).
    • "Friday Recap" reports with change summaries.
    • Incremental documentation updates.

    Team

    $199 per month or $1,990 yearly (includes a 14-day free trial).

    • Up to 50 active private repositories.
    • Unlimited users (seats).
    • 15,000 indexed file limit per repository.
    • Up to 50 cleanup PRs per repository per month.
    • Priority indexing queue.
    • Includes "Friday Cleanup" and "Friday Recap" report features.

    Moxie Docs Screenshots

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