Want to run Claude Code and MCP servers on Windows without interruptions? This guide compares three options — Local PC, Linux VPS, and Windows Cloud Desktop — to help you decide which setup works best for uninterrupted, around-the-clock workflows.
Here’s what you’ll learn:
Quick tip: For most developers who need Claude Code running unattended, the minimum practical setup is a cloud desktop with at least 8 GB RAM and 3 vCPU — enough to run Claude Code alongside several MCP servers simultaneously without memory pressure.
Most developers use Claude Code interactively — you type, Claude responds, you move on. But that model leaves a lot of value on the table.
The real leverage comes when Claude keeps working after you close your laptop.
Point Claude at a repository before you go to sleep. By morning, it has read every file, flagged inconsistencies, identified dead code, and drafted a report you can act on immediately. What would take you a full day of focused reading takes Claude a few hours running unattended.
If you have 10, 20, or 50 repositories that need up-to-date documentation, running that interactively is impractical. A persistent Claude Code session with a Filesystem MCP server can scan every repo, generate structured docs, and commit them — while you’re doing something else.
This is where MCP servers really earn their place. Claude can pull an open issue from GitHub, check the relevant code, draft a fix, open a PR, and post a Slack summary — all as one unattended workflow. No human in the loop until the PR is ready for review.
With a browser MCP connected, Claude can visit pages, extract structured data, compare it against previous runs, and alert you when something changes — a competitor’s pricing, a job board, a public dataset. Set it up once and it runs on schedule.
With a database MCP connected, Claude can run nightly queries, summarize results, and generate reports. Think of it as a capable analyst who works the night shift.
None of this works reliably if Claude Code is running on a machine that sleeps, restarts, or loses its network connection. That’s exactly why the choice of where to run it matters.
MCP (Model Context Protocol) is an open standard that lets Claude connect to external tools and data sources. Instead of being limited to what’s in the conversation, Claude can read files, query databases, browse APIs, and interact with services — all through MCP servers.
Each MCP server exposes a specific set of capabilities:
| MCP Server | What Claude can do |
|---|---|
| Filesystem | Read and write files, scan directories, generate or modify documents |
| GitHub | Read repos, analyze code, review PRs, open issues |
| PostgreSQL / SQLite | Query databases, summarize data, generate reports |
| Slack | Search conversations, retrieve context, post messages |
| Jira | Read tickets, generate documentation, update status |
| Browser | Navigate websites, scrape data, fill forms, monitor pages |
The key detail for this article: MCP servers are separate processes that run alongside Claude Code. If Claude Code is running on a machine that goes to sleep or loses its connection, those server processes get interrupted too. When you restart, Claude has lost its context and has to start over.
That’s why “running MCP servers 24/7” isn’t just about keeping Claude Code alive — it’s about keeping the entire pipeline stable.
| Factor | Local PC | Linux VPS | Windows Cloud Desktop |
|---|---|---|---|
| Setup Complexity | Moderate | High | Moderate |
| Cost | Low | $5–$20/month | $19–$59/month |
| Reliability | Low | High | High |
| Windows Support | Full | Limited | Full |
| Remote Access | Requires setup | Excellent via SSH | Seamless via RDP |
Using a local Windows PC is often the easiest way to get started. If you already have the hardware, setting up Claude Code is straightforward — install Node.js 18 or later and run npm install -g @anthropic-ai/claude-code. No monthly server fees, no remote setup.
While the initial installation is simple, things get tricky with configuration. Claude Code assumes a Unix-like shell environment, so Git Bash is the preferred option over Command Prompt or PowerShell to avoid issues with paths and stdio behavior. If you’re running MCP servers, expect additional hurdles. Node’s child_process.spawn doesn’t directly work with .cmd files like npx, which means you’ll need to wrap commands using cmd /c:
cmd /c npx -y @modelcontextprotocol/server-filesystemAlso use absolute paths for interpreters like C:\Program Files\nodejs\node.exe to prevent silent failures during background processes.
Running Claude Code on a local Windows PC can be unreliable for continuous use. Sleep mode and memory management are common culprits. When your PC goes to sleep, the WSL2 network stack often breaks, leaving TCP sockets in a half-closed state and causing EPIPE errors that disconnect MCP servers. Windows also aggressively reclaims memory from the WSL2 virtual machine — if Claude Code and subagents use too much, the OOM killer may shut down your MCP server (logged as Exit Code 137).
“WSL2’s network stack is fragile across a host sleep. The MCP server keeps its TCP socket open, Windows resumes, the socket is half-closed… Claude Code logs the disconnect.” — Marius Bughiu, troubleshooting Claude Code 2.1.128 on Windows 11 [4]
One advantage of using a local PC is the lack of extra infrastructure costs. You’ll only pay for Claude Pro at $20/month or use the pay-as-you-go Anthropic API. Local stdio transport is also fast, with latency between 1–5ms compared to 50–200ms for remote HTTP/SSE transports — a noticeable difference when Claude is making multiple tool calls in a row.
Claude Code works well on Windows for interactive use. The challenges arise with MCP server processes, WSL2 networking, and managing background tasks. For continuous 24/7 operation, these issues become a persistent headache. For occasional use, a local PC can handle it fine.
A Linux VPS is a solid choice for developers who need Claude Code running continuously without relying on their local machine. It provides a native Linux/Unix environment, which means you can run Claude Code without extra tools or workarounds.
Running Claude Code on a Linux VPS (Ubuntu is the go-to choice) requires some familiarity with the command line. You’ll need to install Node.js 20 or newer, set up SSH keys, and configure a persistent session manager. tmux is the standard tool for this — it ensures your session stays active even when you disconnect from SSH.
“TMUX keeps sessions alive even when you disconnect from SSH, so your Claude Code instances keep running 24/7.” — gregdigittal, Author of vpc-sync-mcp-server [2]
For automatic restarts after a reboot, use systemd unit files rather than @reboot cron jobs. The initial effort pays off with a hands-off experience long-term.
This is where a Linux VPS shines. It avoids sleep mode interruptions, WSL2 memory quirks, and NAT loopback problems. The network stays stable, MCP server processes are less likely to be killed by out-of-memory events, and your tmux sessions keep running whether you’re connected or not.
You’ll cover the Claude Pro subscription ($20/month) or pay-as-you-go API fees, plus VPS hosting. Watch out for token-burning loops — autonomous agents can rack up API costs by calling tools unnecessarily. Set clear task limits and audit your agent’s behavior before leaving it unattended overnight. Remote MCP communication over HTTP/SSE also introduces 50–200ms of latency per tool call, compared to 1–5ms with local stdio.
A Linux VPS resolves reliability issues but requires comfort with Linux administration. Windows-native scripts like .bat or .ps1 won’t run directly and need to be adapted. If Linux administration feels overwhelming, a Windows Cloud Desktop offers a more familiar path to the same uptime.
A Windows Cloud Desktop stands out as the most practical option for developers who want uninterrupted Claude Code and MCP operation without managing a Linux server. You get a persistent Windows machine hosted in a data center, accessible from anywhere via RDP.
Setup is straightforward. Running Claude Code and MCP servers on a single Windows host eliminates common issues like WSL2 path translations, NAT loopback problems, and the need for wsl.exe wrappers. Wrap npx commands with cmd /c to ensure Node’s child_process.spawn correctly resolves the npx.cmd batch shim, and use absolute paths for executables like node.exe to avoid ENOENT errors. For automatic startup, Windows Task Scheduler handles it reliably — a .bat restart loop launched at logon with elevated privileges ensures MCP server uptime.
Compared to a local Windows machine, a cloud desktop has a clear reliability advantage. No sleep cycles, no aggressive memory reallocation, no risk of the laptop lid closing mid-task. Stable TCP connections and consistent resource allocation mean your MCP server pipeline runs exactly as configured.
For running Claude Code with multiple MCP servers simultaneously, the minimum practical configuration is the M plan at $39/month (3 vCPU, 8 GB RAM). That gives Claude enough headroom to maintain several MCP server processes without memory pressure affecting stability.
The entry-level plan at $19/month (1 vCPU, 2 GB RAM) is sufficient for light, single-server use. For heavier workloads — multiple MCP servers, subagents, or overnight batch tasks — the L plan at $59/month (4 vCPU, 16 GB RAM) is the more comfortable option. Add your Claude Pro subscription ($20/month) or API usage on top.
One of the biggest advantages is native Windows execution. Scripts like .bat and .ps1 run directly, Windows binaries work without compatibility layers, and Git Bash can be installed to handle any Unix-like shell requirements from Claude Code. Log files are stored in %APPDATA%\Claude\logs\, making it easy to monitor MCP connection issues using standard Windows tools or Git Bash’s tail -f.
With built-in RDP, remote access is seamless. Connect from any device — laptop, tablet, or desktop — and pick up exactly where you left off. Since MCP servers run on the same host you’re connecting to, there’s no bridging between local and remote machines. No SSH tunnels, no autossh configurations, no manual port exposure.
| Factor | Local Windows PC | Linux VPS | Windows Cloud Desktop |
|---|---|---|---|
| Setup Complexity | Moderate — requires Node.js, Git Bash, and cmd /c wrappers [7] |
High — demands SSH, tmux, Linux CLI expertise, and tunneling [2] |
Moderate — native Windows environment with built-in RDP access |
| Cost | Low — existing hardware plus electricity for 24/7 use | Low — typically $5–$20/month | $19–$59/month (includes Windows licensing) |
| Reliability | Low — sleep/resume cycles disrupt TCP sockets and trigger memory issues [4] | High — datacenter uptime with tmux ensuring session persistence [2] |
High — datacenter uptime with no risk of local hardware failures |
| Windows Compatibility | Native — but requires CLI syntax adjustments [7] | Limited — needs path translation (e.g., C:\projects → /mnt/c/projects) [4] |
Fully native — supports .bat, .ps1, and Windows binaries directly |
| Remote Access | Limited — requires VPN or tunneling tools | Excellent — native SSH with persistent tmux sessions [2] |
Good — standard RDP from any device |
Both a Linux VPS and a Windows Cloud Desktop deliver datacenter-level reliability. The question is which one fits your actual workflow.
The right choice depends on your technical comfort, budget, and how much you need Claude Code to work while you’re not watching.
| Your Situation | Best Option |
|---|---|
| Occasional interactive use, not running overnight | Local Windows PC |
| Comfortable with Linux and SSH, on a budget | Linux VPS ($5–$20/month) |
| Need 24/7 uptime without the Linux learning curve | Windows Cloud Desktop — Plan M ($39/month) |
| Multiple MCP servers, overnight batch tasks, subagents | Windows Cloud Desktop — Plan L ($59/month) |
For most developers who want to run Claude Code and MCP servers continuously — reviewing code overnight, generating documentation, running automation pipelines — a Windows Cloud Desktop hits the right balance. Datacenter-level reliability, native Windows environment, no Linux administration required.
Run Claude Code and MCP servers 24/7 on a Windows Cloud Desktop.
Plan M from $39/month — 3 vCPU, 8 GB RAM. No Linux required. Connect via RDP and run Claude Code just like on your own PC, without the sleep mode interruptions.
Israel de la Torre is the founder of flexidesktop and has spent 15+ years working in cloud infrastructure and Windows virtualization. He helps businesses migrate from on-premises Windows setups to managed cloud desktops.
Step-by-step Windows guide to install OpenClaw, fix common errors, and run it 24/7 with PM2, Scheduled Tasks, or cloud/VPS hosting.
Avoid missed deadlines and lost clients with a cloud PC—access your desktop and files from any device with daily backups.
Cloud Windows desktops beat local and VPS setups for reliable, GUI-based 24/7 automation.
Local virtualization or cloud desktops — weigh performance, cost, and convenience when running Windows apps on a Mac.
Guide for law firms choosing secure Windows cloud desktops: prioritize security, Windows app compatibility, uptime, and transparent pricing.
Compare costs, deployment, security, and the best hosted Windows desktop options for small businesses.
Likely in late 2026–2027, the next Windows may add AI agents, cloud desktops and NPU support; use cloud desktops to try features.
DRAM and NAND costs surged as manufacturers focus on AI HBM, driving cloud price increases; strategies to lock pricing, right‑size resources, and cut costs.
Cloud PCs: cloud-hosted Windows desktops with centralized management and predictable monthly costs — best with reliable internet; not for hardware-heavy or offline work.
