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SnapDoczilla

by julvcversion 1.2.0i★ –iRuns on your computer
Registry nameio.github.julvc/snapdoczilla

Install

Overview

Description from the maker (original English)

Offline docs-as-code for any backend and frontend: a MkDocs site in your repo, by your AI agent.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "snapdoczilla": {
      "command": "uvx",
      "args": [
        "snapdoczilla-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add snapdoczilla -- uvx snapdoczilla-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "snapdoczilla": {
      "command": "uvx",
      "args": [
        "snapdoczilla-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "snapdoczilla": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "snapdoczilla-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account julvc, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32455 servers in this category
  • Published to the registry more recently than 70% of the other 32455 servers in this category
  • Basic checks equal to or better than 100% of the other 32455 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is SnapDoczilla safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.2.0) reached the registry 16 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, SSTracker free youth training

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Skills by Julio Varas

English · Español

Agent skills I use on real projects. Small, readable, easy to adapt. They follow the open Agent Skills format (SKILL.md), so they work in Claude Code first and also in Codex, OpenCode, Antigravity, Gemini CLI and other agents.

Skills

SkillWhat it does
SnapDoczillaDocumentation for any backend and any frontend as an offline HTML site inside your repo. Anyone reads it with a double click; any dev updates it with one command. Mermaid diagrams, API map, ADRs and react.dev-style component pages with real code and real usage.

A component page generated by SnapDoczilla: real usage and real source, pulled from the repo on every build.

Installation (30-second setup)

Two options. The Claude Code plugin is a managed bundle that updates when I ship. skills.sh copies editable files into your project, for any agent. Pick one: installing both gives you every skill twice.

Claude Code (plugin)

claude plugin marketplace add julvc/skills

claude plugin install snapdoczilla@juliovc

Or from inside a session:

/plugin marketplace add julvc/skills

/plugin install snapdoczilla@juliovc

Invoke it with /snapdoczilla:snapdoczilla, or just ask *"document this project"*: Claude picks it up on its own.

Codex, OpenCode, Antigravity, Gemini CLI and other agents

npx skills@latest add julvc/skills

Pick the skills and the agents to install them on. Or install one skill on one agent with no prompts:

npx skills@latest add julvc/skills --skill snapdoczilla -a codex -y

Agent ids: claude-code, codex, opencode, antigravity, gemini-cli. Add -g to install globally instead of in the current project.

Manual (no tooling)

Copy skills/snapdoczilla/ into your agent's skills folder:

AgentProjectGlobal
Claude Code.claude/skills/~/.claude/skills/
Codex.agents/skills/~/.codex/skills/
OpenCode.agents/skills/~/.config/opencode/skills/
Antigravity.agents/skills/~/.gemini/antigravity/skills/

MCP server (Claude Desktop, Cursor and any MCP client)

Prefer MCP over skills, or your client has no skills support? SnapDoczilla also ships as a local MCP server (stdio, Python). The agent still writes the docs from your code; the server does the deterministic parts: install, "what changed since the last documented commit", safe page writes and the strict build.

claude mcp add snapdoczilla -- uvx snapdoczilla-mcp

Claude Desktop, Cursor and other mcpServers clients:

{

"mcpServers": { "snapdoczilla": { "command": "uvx", "args": ["snapdoczilla-mcp"] } } }

Codex CLI (~/.codex/config.toml):

[mcp_servers.snapdoczilla]

command = "uvx" args = ["snapdoczilla-mcp"]

Needs uv, git and bash (on Windows: Git for Windows). The server does not read your code: your client does with its own file tools (in Claude Desktop, add a filesystem server). Use the MCP server or the skill in a given agent, not both.

ToolWhat it does
snapdoczilla_statusInstalled? Areas, commits not yet documented, pages, next ADR number, suggested next step
snapdoczilla_installScaffolds documentation/, writes areas.conf, downloads Mermaid once
snapdoczilla_get_rulesThe rules the pages must follow (language, never invent, embed real code)
snapdoczilla_changes_since_syncFiles and commits of an area since its last documented commit
snapdoczilla_write_pageWrites one page, confined to documentation/source/, and adds it to nav
snapdoczilla_build_htmlStrict MkDocs build; a failed build keeps the previous site
snapdoczilla_mark_syncedRecords HEAD as the last documented commit of an area

It also exposes the prompt document_project. Then just ask: *"Document this project"*.

SnapDoczilla: step by step

What you get: a documentation/ folder in your repo. Anyone opens documentation/html/index.html with a double click: search and diagrams included, no install, no internet. Docs can't drift from code: pages embed the real source files on every build. See a full result in examples/shop (an Express API + React app; download the repo and open examples/shop/documentation/html/index.html).

Scope. It documents what lives in the repo, for any stack: Spring, Node (Express/Nest), Python (FastAPI/Django/Flask), .NET, Go, PHP, Ruby; Vue, React, Angular, Svelte.

BackendFrontendAny project
Architecture with Mermaid flows, API map by resource, integrations, data modelScreens/routes, src/ structure, state, component pages (API + real usage + real code)Overview, getting started, ADRs

It does not take screenshots, run live demos, host anything or replace your OpenAPI/Swagger. Docs are written in the language you choose (English by default).

Requirements. To read: a browser. To generate/update: Git (with bash; on Windows, Git for Windows), Python 3 and an agent.

1. Install the skill

See Installation.

2. Ask your agent, inside your repo
Document this project

The agent detects your areas (e.g. back=backend/, front=frontend/), installs the scaffolding, writes the first pages from your real code, builds the site and checks the diagrams. It never commits.

3. Read it

Open documentation/html/index.html.

4. Review and commit

Check git diff, fix anything flagged as *to be confirmed* and commit documentation/ (including html/, so readers need nothing installed).

5. Keep it updated (any dev, one command)
./documentation/update.sh              # all areas

./documentation/update.sh --front # one area ./documentation/update.sh --html-only # rebuild the HTML only, after editing .md by hand

On Windows, double-click documentation\update.cmd. Only what changed since the last sync goes to the agent. A pre-push hook reminds you (never blocks) when code changed without docs.

Claude Code is the default. Using another agent? Set DOCS_LLM:

AgentDOCS_LLM
Codex CLIcodex exec --full-auto
OpenCodeopencode run
Gemini CLIgemini --yolo -p

Or ask your agent *"update the docs"* inside a session. That works with every agent, Antigravity included.

6. Document a component
Add a SnapDoczilla page for the Button component

You get what it is, how it works, props/events/slots, a real usage example from your app and the real source code.

7. Working under CMMI? Use the cmmi profile
Document this project with SnapDoczilla using the CMMI profile

Same flows, plus a Process evidence page that maps CMMI practice areas (TS, DAR, PI, RDM, VV, PR, CM, PQA, OT, PAD) to the evidence in your repo, a *Requirement → Code → Tests → Page* traceability matrix and a baselines table per release tag. ADRs follow DAR (criteria + alternatives). Requirement IDs come only from real commits, branches or issues. The docs support an appraisal; they never claim compliance. Script: install.sh " " cmmi. MCP: snapdoczilla_install with profile: "cmmi".

8. Need a user manual? Add it on any profile
Write the user manual for this app with SnapDoczilla

Adds a User manual section for the people who use the app: requirements, first steps, a screen map and one page per function with numbered steps, the exact button and field labels, the expected result and a *Message → Cause → What to do* table built from the real messages in the UI code. Screenshots are left as placeholders (img/ -NN.png) for a human to capture. With the cmmi profile the manual is also referenced as OT/VV evidence. Script: add-manual.sh . MCP: snapdoczilla_add_manual.

Architecture page, dark mode, diagram rendered offline.

SnapDoczilla or Docusaurus?

They solve different problems. Docusaurus is an engine to build a site you write by hand. SnapDoczilla is a workflow: your agent writes the docs from the code and keeps them in sync.

DocusaurusSnapDoczilla
Who writesYouYour agent, from the real code
Staying currentManualIncremental, per git diff; code embedded from the real files
Read without a serverNoYes, double-click
StackNode, React, MDXPython only to build; nothing to read
Versions, multi-locale, blog, pluginsYesNo

Pick Docusaurus for a public product site with versions and many languages. Pick SnapDoczilla to make any codebase understandable to your team, today, and keep it that way.

Publish on the web (optional)

documentation/html/ is a static site. To serve it with GitHub Pages, add .github/workflows/docs.yml to your repo and set *Settings → Pages → Source* to GitHub Actions:

name: docs

on: push: branches: [main] paths: [documentation/html/**] permissions: { contents: read, pages: write, id-token: write } jobs: deploy: runs-on: ubuntu-latest environment: github-pages steps:

  • uses: actions/checkout@v4
  • uses: actions/upload-pages-artifact@v3 with: { path: documentation/html }
  • uses: actions/deploy-pages@v4

What gets added to your repo

documentation/

├── source/ # ed

Only the beginning is shown; read the rest in the repo

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