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

Ridealong

by williamblaismedia-createversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.williamblaismedia-create/ridealong

Install

Overview

Description from the maker (original English)

Watch your AI drive a real Chrome live, point, approve, or take the wheel from your phone.

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: Web & browsers

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: RIDEALONG_DATA_DIR, RIDEALONG_LIVE_PORT, RIDEALONG_VIDEO

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": {
    "ridealong": {
      "command": "npx",
      "args": [
        "-y",
        "ridealong-mcp"
      ],
      "env": {
        "RIDEALONG_DATA_DIR": "your-value",
        "RIDEALONG_LIVE_PORT": "your-value",
        "RIDEALONG_VIDEO": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add ridealong --env RIDEALONG_DATA_DIR=your-value --env RIDEALONG_LIVE_PORT=your-value --env RIDEALONG_VIDEO=your-value -- npx -y ridealong-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": {
    "ridealong": {
      "command": "npx",
      "args": [
        "-y",
        "ridealong-mcp"
      ],
      "env": {
        "RIDEALONG_DATA_DIR": "your-value",
        "RIDEALONG_LIVE_PORT": "your-value",
        "RIDEALONG_VIDEO": "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": {
    "ridealong": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ridealong-mcp"
      ],
      "env": {
        "RIDEALONG_DATA_DIR": "your-value",
        "RIDEALONG_LIVE_PORT": "your-value",
        "RIDEALONG_VIDEO": "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

  • RIDEALONG_DATA_DIR env
    Profile, secret and artifacts directory (default ~/ridealong-data)
  • RIDEALONG_LIVE_PORT env
    Live view port (default 9400)
  • RIDEALONG_VIDEO env
    on/off — H.264 live stream via ffmpeg (default on)

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account williamblaismedia-create, 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 Web & browsersi

  • More stars than 0% of the other 881 servers in this category
  • Published to the registry more recently than 39% of the other 881 servers in this category
  • Basic checks equal to or better than 100% of the other 881 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 Ridealong 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 (0.1.0) reached the registry 2 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: Browser Use, Chrome DevTools MCP, MCP Server Browser

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

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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.

RIDEALONG

A browser your AI drives. Ride along, grab the wheel anytime.

MCP server for Claude Code · real Google Chrome · live H.264 view · human-in-the-loop by design

Website · Quick start · Site en français · README en français


Every browser MCP lets an agent click around in the dark. Ridealong puts you in the passenger seat. Claude drives a real Chrome; you open one link and see exactly what it sees, where it clicks, what it typed — and when it hits a login, a CAPTCHA or a payment, you take the wheel from your phone, then hand it back.

In Claude Code

Ridealong is an MCP server: Claude calls its tools like any other, but every step is visible on the live view, William's pointer and messages come back into the transcript, and sensitive actions wait for an approval.

On your phone

Not just another browser MCP

Why Ridealong

Typical browser MCPRidealong
Browserheadless Chromiumreal Google Chrome (codecs, extensions, your profile)
Watch the agentscreenshots on requestlive stream, GPU-encoded H.264, ~150 ms behind
Intervenestop the runManual mode: your clicks, keys and scroll go straight into the page
Sensitive actionshope`ask_approval`: Approve / Deny on your phone, the tool waits
Guide the agenttype a long prompttap the element on the live view, or send a one-line message
Secretsin the transcriptnever: Manual input is not stored, logged, or visible to Claude
Session diesreconnect by handself-healing relay + zombie-proof live view

Quick start

On the machine Claude drives — nothing to host:

claude mcp add ridealong -- npx -y -p ridealong-mcp ridealong

Or as a Claude Code plugin: claude plugin marketplace add williamblaismedia-create/ridealong then claude plugin install ridealong@ridealong. From source: git clone … && npm ci && npm run build && claude mcp add ridealong -- "$PWD/scripts/ridealong-local.sh".

Then, in Claude Code: *"open timeliner.io and give me the live view"*. You get a signed link (http://127.0.0.1:9400/#token=…). Open it once on a device and the bare address works for 30 days — bookmark it.

In Docker (Chrome under Xvfb, ffmpeg, persistent profile):

docker build -t ridealong . && claude mcp add ridealong -- docker run -i --rm -p 9400:9400 -v ridealong-data:/data ridealong

On an always-on server with an NVIDIA GPU, a Cloudflare tunnel and a relay that survives your laptop sleeping: the reference setup is in docs/DEPLOIEMENT-W-AGENT.md (French).

ffmpeg installed → H.264 video (NVENC · VideoToolbox · libx264, auto-detected). No ffmpeg → JPEG frames. Either way it works.

Examples

Three copy-pasteable scenarios in examples/, each with the exact prompt, what you see on the live view and where you step in:

  • QA after deploy — reload with the cache bypassed, click through the flow, read console_errors and network_requests, report. Includes a CLAUDE.md snippet to run it after every deploy.
  • Approval-gated purchase — Claude fills the checkout, ask_approval blocks before "Place order", you tap Approve on your phone.
  • Login handoff — Claude hits a login or 2FA wall, switches to Manual, you type on your own device, Claude never sees the keystrokes.

What you get on the live view

  • Claude's cursor gliding to each target, a ripple on click, the action label — and a journal with timestamps.
  • Auto | Manual toggle. In Manual, mouse, keyboard, trackpad scroll and pinch are relayed; Claude's perception is suspended while you type.
  • Pause Claude without taking control.
  • Approval cards when Claude calls ask_approval.
  • Point at things (Auto mode tap → *"William points at: button « Login »"*) and message Claude from the page. They reach Claude at the end of his next tool result — or instantly, as a Claude Code channel, if you start Claude with --dangerously-load-development-channels server:ridealong (also relays "took the wheel" / "paused").
  • Real tabs: the strip mirrors Chrome; tap one to move Claude's target.
  • Resolution picker (720p → 2K), applied live and remembered.
  • Capture, fullscreen, video/JPEG switch, reconnects by itself, phone-ready.

Tools

PerceiveActTabsLive view
state snapshot find readnavigate reload act fill scrolltabs_list tabs_open tabs_select tabs_closelive_start live_mode live_stop
diff screenshot console_errorsask_approval inbox
network_requests fetch_with_session

Everything follows one target tab. Elements carry stable [ref]s from snapshot/find, so Claude acts by reference, never by brittle selectors. Chrome's HTTP cache and service workers are bypassed: a site you just deployed is what Claude sees.

How it works

Claude Code ──stdio──▶ ridealong (MCP) ──CDP──▶ Google Chrome

│ └─ live view ── ws ──▶ your browser / phone JPEG frames, or CDP screencast → ffmpeg (GPU) → fMP4 → MSE input relay ◀── Manual mode (never stored)

Two Claude Code sessions on one Chrome? The second follows the first as a control client and promotes itself if the first goes away. A local relay (scripts/ridealong-mcp-relay.mjs) keeps the MCP session alive across a dead SSH link by replaying the handshake.

Guarantees

  • No capture. Manual-mode input is relayed straight to Chrome and never retained; perception tools refuse to run while you have control; password fields never expose values in snapshots. A test suite pins this down.
  • Signed, expiring links (HMAC, 30 s – 1 h). Device tokens (30 days) live only in your browser. Rotate RIDEALONG_LIVE_SECRET to revoke everything.
  • Loopback by default. The live view listens on 127.0.0.1; you choose how to expose it.

Roadmap

  • Session recording (video + journal as chapters)
  • Adaptive bitrate for weak mobile links
  • Profiles: one Chrome context per client / task, incognito
  • Annotated screenshots (refs drawn on the image)
  • npx ridealong-mcp

Contributing

Issues and PRs welcome — see CONTRIBUTING.md. npm test runs 131 tests against a real Chromium (and ffmpeg when present).

Built by W Automatisations · Montréal · MIT

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