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PopNx MCPMCP servers for people who use AI · explained in plain words

Devicecloud

by RubenGlezversion 0.3.2i★ –iRuns on your computer
Registry nameio.github.RubenGlez/devicecloud

Install

Overview

Description from the maker (original English)

Triage failing DeviceCloud Maestro test runs: fail reasons, screenshots, flaky-flow analytics

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: Marketing & social media
  • You need to fill in: DEVICE_CLOUD_API_KEY

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).
  • You fill in yourself: DEVICE_CLOUD_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx 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": {
    "devicecloud": {
      "command": "npx",
      "args": [
        "-y",
        "devicecloud-mcp"
      ],
      "env": {
        "DEVICE_CLOUD_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add devicecloud --env DEVICE_CLOUD_API_KEY=your-value -- npx -y devicecloud-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "devicecloud": {
      "command": "npx",
      "args": [
        "-y",
        "devicecloud-mcp"
      ],
      "env": {
        "DEVICE_CLOUD_API_KEY": "your-value"
      }
    }
  }
}

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": {
    "devicecloud": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "devicecloud-mcp"
      ],
      "env": {
        "DEVICE_CLOUD_API_KEY": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • DEVICE_CLOUD_API_KEY secret required env
    DeviceCloud API key — generate one at console.devicecloud.dev/settings

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 RubenGlez, 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 Marketing & social mediai

  • More stars than 0% of the other 2953 servers in this category
  • Published to the registry more recently than 20% of the other 2953 servers in this category
  • Basic checks equal to or better than 100% of the other 2953 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 Devicecloud 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?

You need to fill in: DEVICE_CLOUD_API_KEY

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 (0.3.2) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

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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.

devicecloud-mcp

Triage failing DeviceCloud runs so your agent can fix them, without opening the dashboard.

When a DeviceCloud run goes red in CI, the reason why is buried in the web dashboard: the fail reason, the failure screenshot, the logs. This server pulls all of it straight into your editor, so your AI assistant (Claude Code, Cursor, Claude Desktop, etc.) can read the evidence, find the root cause, and fix the flow or app code. You commit, CI re-runs, and the dashboard stays closed.

DeviceCloud is a platform for running Maestro flows on real devices. Your CI triggers the runs; this server is how you debug the ones that fail.

It lets the assistant:

  • diagnose a run in one call: failed flows, fail reasons, failure-screenshot paths, and a passed/failed/flaky summary, ready to act on
  • rank suite health: classify every flow as healthy, flaky, broken, or regression over a window so you know what's worth fixing first
  • list recent uploads, filter by name (commit message + short SHA) or date
  • read per-flow status and failReason for any upload
  • pull the JUnit XML report
  • download and auto-unzip the HTML report (with failure screenshots highlighted)
  • download raw artifacts (logs, screenshots, video) as a zip
  • spot flaky vs genuinely-broken flows with per-flow pass-rate analytics
  • drill into run history for a specific flow file

The server is read-only against the DeviceCloud REST API: no dcd CLI dependency, and nothing an agent does can trigger billable runs. Triggering and re-running tests stay with your CI; cancelling a run stays in the dashboard.

Install

Requires Node.js 22+ — check with node --version. There's no separate install step; the server runs on demand via npx.

Add this to your MCP client config:

{

"mcpServers": { "devicecloud": { "command": "npx", "args": ["-y", "devicecloud-mcp"], "env": { "DEVICE_CLOUD_API_KEY": " " } } } }

Get your API key at console.devicecloud.dev/settings.

Claude Code: add it with one command

Skip editing JSON — register the server in one step:

claude mcp add devicecloud --env DEVICE_CLOUD_API_KEY=<your-key> -- npx -y devicecloud-mcp

Add -s user to make it available in every project instead of only the current one.

Configure your assistant

The config block above is the same for every client; only the file location differs.

Claude Code (project-scoped, .mcp.json)

Add to a .mcp.json at the root of any project where you want the tools available:

{

"mcpServers": { "devicecloud": { "command": "npx", "args": ["-y", "devicecloud-mcp"], "env": { "DEVICE_CLOUD_API_KEY": "${DEVICE_CLOUD_API_KEY}" } } } }

Then export the key from your shell profile so Claude Code's child process inherits it:

# ~/.zshrc or ~/.bashrc

export DEVICE_CLOUD_API_KEY=" "

Setting it only in an interactive shell isn't enough; Claude Code spawns the MCP from its own environment, so the variable needs to be in the profile.

Claude Code (user-scoped, ~/.claude.json)

If you want it available everywhere instead of per-project, add the same devicecloud block under mcpServers in ~/.claude.json.

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows). Restart Claude Desktop after saving; a tools icon appears in the chat input once the server connects.

Cursor

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json at the project root (project-scoped).

Windsurf

Edit ~/.codeium/windsurf/mcp_config.json.

Other MCP-compatible clients

Any client that supports stdio MCP servers uses the same { command, args, env } shape. Consult the client's docs for the config file location.

Note: OpenAI products (ChatGPT, Codex, the Assistants API) use their own tool protocol and do not support MCP servers.

Verify

After restarting your assistant:

List recent DeviceCloud uploads, limit 3.

You should see a JSON-shaped response with an uploads array. If instead you get DEVICE_CLOUD_API_KEY env var is required, the variable isn't reaching the spawned process; re-check that it's exported from your shell profile (not just the current shell).

Available tools

ToolPurpose
diagnose_runStart here. One-call triage of a run (uploadId or name): folds retries per flow and returns failed flows with fail reasons, durations, and auto-downloaded failure-screenshot paths, plus a passed/failed/flaky summary and suggested next steps. Set includeReport: false to skip the screenshot download; outputDir sets where the report extracts (default /tmp).
suite_healthClassify every flow over a lookback window into healthy, flaky, broken, or regression, ranked worst-first, so you can tell whether a failure is worth fixing before diving in. Regressions (passing, then recently failing) come first. Same filters as list_flow_analytics (platform, appId, days, startDate, endDate, tags).
list_uploadsList recent uploads. Filter by name (* wildcard), from, to, limit, offset.
get_upload_statusOverall status + per-test status, duration, failReason. Provide uploadId or name.
get_resultsPer-flow rows for one upload: id, test_file_name, status, fail_reason, duration_seconds, retry_of. Optional client-side status filter.
get_junit_reportRaw JUnit XML for an upload.
get_html_reportDownloads + auto-unzips the HTML report. Returns the extraction dir and an inventory with failureScreenshots[] highlighted (these are the highest-signal debugging artifact).
download_artifactsZip of raw artifacts (logs, screenshots, video). results: "FAILED" (default) or "ALL". Saves to /tmp by default; not auto-unzipped.
list_flow_analyticsPer-flow pass rate, run counts, avg duration over a lookback window (default 14 days). Useful to tell flakes from genuinely-broken flows.
get_flow_runsIndividual run history for one flow file (fileName required). Returns status, duration, failReason, and the uploadId each run belongs to. Use to drill into a specific flow after list_flow_analytics.
Upload-naming convention

Uploads are typically named after the commit or build that triggered them. A common convention is to include the short SHA:

fix(login): handle expired session (a1b2c3d4)

Filter with name = "*a1b2c3d4*" to find every upload for a specific commit. The wildcard is *, not %.

When uploads do and don't exist

DeviceCloud uploads are created when you trigger a run, via the CLI, a CI step, the GitHub Action, or the API directly. Whether a given commit has an upload depends entirely on your CI setup. If list_uploads returns nothing for a SHA you expect, the run probably wasn't triggered for that commit.

Troubleshooting

  • `DEVICE_CLOUD_API_KEY env var is required`: the variable isn't visible to the spawned MCP. Export it from ~/.zshrc / ~/.bashrc, restart your assistant.
  • `unzip failed` (from get_html_report): the unzip binary is missing or crashed. Install with brew install unzip (macOS ships with it; Linux usually does too).
  • HTTP 401 / 403: the API key is wrong or revoked. Regenerate it at console.devicecloud.dev/settings.
  • Empty `list_uploads` for your SHA: a run probably wasn't triggered for that commit. See "When uploads do and don't exist" above.
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