KVM1-US
- CPU:
1 vCore Max
- RAM:
1 GB ECC
- Storage:
20 GB NVMe
- Traffic:
1 Gbps Dual Link Unmetered*
Deploy your Model Context Protocol servers on enterprise-grade KVM infrastructure. Connect AI applications to tools, databases, and APIs with ultra-low latency, full root access, and unmetered traffic from 17+ global locations.
Enterprise KVM VPS optimized for Model Context Protocol workloads powered by NVMe SSDs, and premium global peering.
Atlanta
Los Angeles
Germany-Frankfurt
Netherlands-Amsterdam
Bulgaria-Sofia
Italy-Palermo
Spain-Madrid
Poland-Warsaw
Latvia-Riga
Lithuania-Vilnius
France-Paris
Sweden-Stockholm
UAE-Fujairah
Singapore
Mumbai-India
Nigeria-Lagos1 vCore Max
1 GB ECC
20 GB NVMe
1 Gbps Dual Link Unmetered*
MOST POPULAR
2 vCores Max
2 GB ECC
25 GB NVMe
1 Gbps Dual Link Unmetered*
4 vCores Ultra
4 GB ECC
40 GB NVMe
1 Gbps Dual Link Unmetered*
8 vCores Ultra
8 GB ECC
80 GB NVMe
1 Gbps Dual Link Unmetered*
Every plan includes full root access, Docker-ready environments, and unmetered traffic everything you need to run production MCP servers.
| All VPS Plans | ||||
|---|---|---|---|---|
| Network | ||||
| Port Speed | 1 GBPS | |||
| Traffic | Unmetered * | |||
| UPLINK | 1 GBPS | |||
| Dedicated IP Address | 1 | |||
| IPv6 Addresses | 16 | |||
| Full Root Access | ![]() |
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| Docker Support | ![]() |
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| n8n Ready | ![]() |
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| n8n Domain for HTTPS | 1st Year Free | |||
| Resources | ||||
| CPU, Ghz | Up to 3.3 Ghz | |||
| CPU Type | Intel Xeon E5 / Gold | |||
| RAM | Up to DDR5 ECC @ 6400 Mhz | |||
| Disk Technology | Local NVMe M2 SSD | |||
| Administration | ||||
| Custom ISO | ![]() |
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| Resource Usage Metrics | ![]() |
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| VPS Status Logs | ![]() |
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| Customizable TimeZones | ![]() |
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| VPS Provisionning API | ![]() |
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| AlwaysOn Access | ||||
| HTML 5 VNC Access | ![]() |
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| JAVA VNC Access | ![]() |
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| Rescue Mode | ![]() |
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| License Addon | ||||
| cPanel | From $26/month | |||
| Webuzo | ![]() |
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| Windows Server | ![]() |
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Your MCP server handles sensitive tool calls – database queries, API credentials, file access. KVM virtualization integrates directly with the Linux Kernel, providing strong isolation between your VPS and the host system.
Spin up your Ubuntu, Debian, CentOS, and deploy your MCP server environment with a single Docker command. Scale workflows, automate APIs, and connect hundreds of apps—all without the limits of shared hosting.
Spin up your MCP server in under 2 minutes with Docker pre-installed. Whether you’re running the official MCP TypeScript SDK, a Python-based server, or a custom implementation with full root access you configure the environment exactly how your AI stack requires.
Tier 3 Certification
All our data centers are Uptime Institute Tier 3/4 certified, with redundant power, cooling, and network connectivity – ensuring your MCP servers stay online when your AI workflows depend on them.
Control your MCP instances from Atlanta to Tokyo, Amsterdam to Singapore all through a unified control panel. Reinstall, deploy, reboot, monitor, and back up every KVM instance from one place, across all 17+ global locations.
The Model Context Protocol (MCP) is an open standard that lets AI applications – like Claude, Cursor, Windsurf, and custom LLM agents – connect to external tools, databases, files, and APIs through a unified interface. Instead of building custom integrations for every tool your AI needs, MCP provides a single, standardized bridge.
But that bridge needs to run somewhere reliable.
An MCP server handles every tool call your AI makes in real time. If it’s slow, your AI is slow. If it goes down, your AI loses access to all its tools. That’s why running MCP servers on shared hosting or underpowered instances creates real problems:
Latency spikes – Shared resources mean unpredictable response times during peak hours
Security risks – MCP servers access your databases and APIs; weak isolation puts sensitive data at risk
Downtime – Your AI workflows break entirely when the MCP server is unavailable
Scaling walls – Managed MCP platforms impose rate limits and tool-call caps that block growth
A dedicated KVM VPS solves all of these by giving you isolated resources, full root access, and the freedom to configure your MCP server exactly how your stack demands.
An MCP (Model Context Protocol) server is a bridge between AI applications and external tools, databases, or APIs. It uses a standardized client-server architecture where AI clients send requests and the MCP server processes them by interacting with your systems. While you can run MCP servers locally, a VPS gives you always-on availability, team-wide access, better security through KVM isolation, and the ability to place your server in the optimal location for low latency.
It depends on your setup. If your MCP server primarily communicates with AI APIs (like Claude or OpenAI), choose a location close to their endpoints – typically US-East (Atlanta) or US-West (Los Angeles). If your MCP server connects to your own databases or internal APIs, co-locate it in the same region as those systems. For compliance-sensitive workloads, choose an EU location like Amsterdam, Frankfurt, or Paris to keep data under GDPR jurisdiction. You can also deploy multiple MCP servers across regions for global teams.
Yes. With Docker and Docker Compose, you can run multiple MCP servers on a single VPS, each serving different tool sets or AI clients. Our MCP-Production plan (2 vCores, 4 GB RAM) comfortably handles 2-3 concurrent MCP servers. For heavier setups, you may consider higher tiers plans provide the resources needed for complex multi-server deployments.
Very. Every VPS runs on KVM virtualization with hardware-level isolation – your MCP server’s processes, memory, and storage are completely separated from other tenants. You get full root access to configure firewalls, SSH keys, SSL certificates, and access controls exactly as needed. For additional protection, our infrastructure includes DDoS filtering and you can enable automated backups from the control panel.
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