Proxbase MCP server
Commit Nov 12, 2026Lets an AI client create, manage, and test Proxmox VE clusters by injecting faults and running commands on virtualized nodes.
Also known as virtbase/proxbase
- Stars
- 1
- Tools
- —
- Downloads, 30 days
- —
- Latest version
- 0.4.1
- Last commit
- Nov 12, 2026
- License
- Apache-2.0
What is Proxbase MCP?
Proxbase lets an AI client create, manage, and test Proxmox VE clusters by injecting faults and running commands on virtualized nodes.
Summary generated from the project's README
About Proxbase MCP server
Proxbase provides a way to deploy and manage real Proxmox VE clusters directly on a Linux machine using QEMU/KVM. It automates the entire process of installing nodes from official ISOs, configuring internal networks, and setting up storage solutions like ZFS or hyperconverged Ceph. This tool is designed for developers, testers, and engineers who need rapid, reproducible environments for labs, demonstrations, or continuous integration pipelines.
When used as an MCP server, an AI agent can take control of the cluster lifecycle. The agent can create new environments, execute commands on specific virtualized nodes, diagnose system issues, and manage snapshots. It also includes specialized tools for fault injection, allowing an AI to simulate real-world failures such as network partitions, power loss, or hung nodes to test high availability and recovery protocols. The setup requires a Linux host with KVM and QEMU, and it can be integrated into workflows using Terraform, Ansible, or GitHub Actions.
What you can do with it
- 1Automated cluster deploymentAn AI agent can spin up a multi-node Proxmox cluster with specific storage and networking configurations.
- 2Resilience and HA testingA developer can instruct an AI to simulate hardware or network failures to verify cluster stability.
- 3Rapid environment prototypingUsers can quickly generate a cluster from a cached base image to save time during development.
Written from the project's README. Every use case is checked against a quote from it.
How to install Proxbase MCP
Formats verified 10 Nov 2026Install Proxbase MCP in Claude Code
$ claude mcp add proxbase -- docker run -i --rm ghcr.io/virtbase/proxbase:0.4.1Install Proxbase MCP in Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"proxbase": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/virtbase/proxbase:0.4.1"
]
}
}
}Install Proxbase MCP in VS Code
.vscode/mcp.json
{
"servers": {
"proxbase": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/virtbase/proxbase:0.4.1"
]
}
}
}Install Proxbase MCP in Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"proxbase": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/virtbase/proxbase:0.4.1"
]
}
}
}Install Proxbase MCP in Codex
~/.codex/config.toml
[mcp_servers.proxbase] command = "docker" args = ["run", "-i", "--rm", "ghcr.io/virtbase/proxbase:0.4.1"]
Install Proxbase MCP in Gemini CLI
~/.gemini/settings.json
{
"mcpServers": {
"proxbase": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/virtbase/proxbase:0.4.1"
]
}
}
}Automated checks
Ran Nov 14, 2026Full report →Not verified yet. A server needs a score of 80, no serious finding, and enough data for us to check. How checks work
- Source repository linked and reachablevirtbase/proxbase is public and reachablegithub.com/virtbase/proxbase ↗Pass
- Package names this repository as its sourceNot checked
- Build provenance (Sigstore attestation)Not checked
- Open source license (OSI)Apache-2.0spdx.org/licenses/Apache-2.0.html ↗Pass
- Commit or release in the last yearLast commit or release 2026-11-12github.com/virtbase/proxbase ↗Pass
- OpenSSF ScorecardNot checked
- Package name not close to a popular packageNot checked
- No critical advisory in the package or its dependenciesNot checked
- No hidden instructions to the model0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersPass
- Destructive tools are labelledNot checked
- Remote endpoint answers the MCP handshakeNot checked
README
View on GitHubProxbase
Real Proxmox VE clusters on your Linux machine in about three minutes, for labs, demos and CI.
Proxbase starts every node as a QEMU/KVM virtual machine, installs it from the official Proxmox VE ISO with the automated installer, and joins the nodes into a cluster through the Proxmox API, with ZFS or Ceph storage, internal networks and an API token ready for Terraform or Ansible. No root, no Docker, no manual clicks.
$ proxbase create lab --nodes 3
…
created in 2m56s
Cluster lab: ready, quorate: yes, switch: running
NODE VM CLUSTER IP WEB UI SSH
pve1 running online 10.10.10.11 https://127.0.0.1:18001 127.0.0.1:18101
pve2 running online 10.10.10.12 https://127.0.0.1:18002 127.0.0.1:18102
pve3 running online 10.10.10.13 https://127.0.0.1:18003 127.0.0.1:18103
Features
- Real nodes: each node is a VM with its own kernel installed from the stock ISO; nested virtualization lets you run guests inside the cluster.
- Storage: ZFS pools per node, or hyperconverged Ceph (RBD and CephFS) that waits
for
HEALTH_OK. - Networking without root: several internal networks with roles (corosync link0/link1, Ceph public/cluster, migration), VLAN-aware and L2-only bridges, jumbo frames.
- Lifecycle: start/stop, add and remove nodes (with Ceph draining), consistent snapshots of the whole cluster, live snapshots that resume a running cluster in seconds, resumable creates.
- Fault injection: power loss, hung nodes, pulled cables, network partitions, latency and loss, to test HA, fencing and Ceph recovery.
- Ready for automation: API token and CA export,
proxbase envfor shells, JSON and the bpg/proxmox Terraform provider,-o jsonand--progress jsonfor scripts, and a GitHub Action for CI that can cache a ready cluster as a template. - For AI agents:
proxbase mcpis an MCP server: agents create clusters, call the API, run commands on nodes, diagnose, reset to snapshots and inject faults through tools. A skill teaches them the workflow; in Claude Code:/plugin install proxbase --marketplace virtbase/proxbase. - Fast:
--goldenclones nodes from a cached base image: a 3-node cluster in under a minute (Ceph: 1.5 minutes), with a unique identity per node. - Declarative: one YAML file with a JSON schema; every flag overrides a field.
- Docker Compose:
proxbase upruns a cluster in the foreground with clean shutdown and a health check.
Quick start
Requirements: Linux on amd64 with /dev/kvm, QEMU 7.2+ (qemu-system-x86_64,
qemu-img) and about 4 GiB RAM per node. Nested virtualization is needed for guests
inside the nodes.
go install github.com/virtbase/proxbase/cmd/proxbase@latest # or see docs/install.md
proxbase doctor # checks KVM, QEMU, memory, ports
proxbase create lab --nodes 3
Then open https://127.0.0.1:18001 (user root, password from proxbase env lab), or:
proxbase ssh lab pve2 -- pvecm status
eval "$(proxbase env lab)" # PROXMOX_VE_ENDPOINT, PROXMOX_VE_API_TOKEN, …
proxbase destroy lab --yes # removes everything
Usage
proxbase create ceph --nodes 3 --storage ceph # hyperconverged Ceph
proxbase create fast --nodes 3 --golden # clone from a cached base image
proxbase create -f examples/networks.yaml # separate networks and VLANs
proxbase node add lab --count 1 # grow the cluster
proxbase node remove lab pve2 # shrink it again
proxbase stop lab && proxbase snapshot save lab base
proxbase snapshot restore lab base && proxbase start lab
proxbase env lab --format terraform # provider block for bpg/proxmox
proxbase fault partition lab pve3 # isolate a node, then: fault clear
proxbase status lab --check # exit code for CI and health checks
claude mcp add proxbase -- proxbase mcp # let an AI agent drive proxbase
proxbase upgrade # install the latest release
In GitHub Actions:
- id: pve
uses: virtbase/proxbase@v0 # KVM, QEMU, cache, create; outputs endpoint, api-token, env-file
- env: {PVE_ENV: "${{ steps.pve.outputs.env-file }}"}
run: . "$PVE_ENV" && go test ./... -tags integration
- if: always()
run: proxbase destroy ci --yes
A cluster file looks like this (everything has a default):
apiVersion: proxbase.virtbase.com/v1alpha1
kind: Cluster
name: lab
nodes:
count: 3
defaults: {cpus: 4, memory: 4G, dataDisks: [{size: 32G}]}
networks:
- {name: cluster, cidr: 10.10.10.0/24, roles: [corosync]}
storage:
zfs: [{name: tank, raid: single}]
Documentation
| Topic | |
|---|---|
| Getting started | First cluster, web UI, credentials |
| Installation | Packages, Homebrew, container image, verifying releases |
| Configuration | Every field, default and limit |
| Networking · Storage · Lifecycle | How it works and what to expect |
| Fault injection · Golden images | Breaking the cluster on purpose, faster creates |
| CI and automation · MCP server | GitHub Action, JSON progress, AI agents |
| Docker · CLI reference · Troubleshooting | |
| Architecture | Packages, create flow, state on disk |
| Examples | Ready-to-use cluster files for common setups |
Status and limits
Proxbase is young; the file format may change before v1.0. It is tested with
Proxmox VE 9.2 on Debian 13 (QEMU 10.0, AMD). Clusters need a Linux host with KVM:
macOS builds are experimental and Docker Desktop has no /dev/kvm. Nodes are
reachable from the host through forwarded ports on 127.0.0.1; host-reachable bridge
networking is designed but not implemented. Proxbase builds
labs: it stores generated passwords and keys unencrypted in its state directory.
Contributing
Issues and pull requests are welcome; see CONTRIBUTING.md and the code of conduct. Report security issues privately as described in SECURITY.md.
License
Proxbase MCP questions
How do I add Proxbase MCP to Claude Code?
Run claude mcp add proxbase -- docker run -i --rm ghcr.io/virtbase/proxbase:0.4.1 in your terminal. Add --scope user to make it available in every project.
How do I add Proxbase MCP to Cursor?
Open ~/.cursor/mcp.json and add the server under mcpServers, using the Cursor config shown in the install section above.
What can an AI agent do with Proxbase?
AI agents can create clusters, call the Proxmox API, run commands on nodes, diagnose issues, reset to snapshots, and inject faults.
Can I use Proxbase for testing high availability?
Yes, you can use fault injection to simulate power loss, hung nodes, network partitions, and latency to test HA and Ceph recovery.