Führt Python-Code in einer lokalen, hardware-isolierten Micro-VM aus, die den State zwischen Aufrufen beibehält, für eine sichere und schnelle Ausführung.
Auch bekannt als hyperlight-dev/hyperlight-unikraft, mcp-server-hyperlight
- Stars
- 50
- Tools
- 2
- Downloads, 30 Tage
- 333
- Neueste Version
- 0.1.1
- Letzter Commit
- 14. Nov. 2026
- Lizenz
- Apache-2.0
Was ist Hyperlight MCP?
Hyperlight ist ein MCP server. Führt Python-Code in einer lokalen, hardware-isolierten Micro-VM aus, die den State zwischen Aufrufen beibehält, für eine sichere und schnelle Ausführung. Er stellt 2 Tools bereit, etwa run_python, reset_sandbox.
Zusammenfassung generiert aus dem README des Projekts
Über Hyperlight MCP server
Hyperlight bietet eine sichere Möglichkeit, Python-Code innerhalb einer lokalen, hardware-isolierten Micro-VM auszuführen. Entwickelt für User von MCP-Clients wie Claude Desktop, Cursor, VS Code oder Claude Code, führt es ein Unikraft-Unikernel über das hluk CLI aus. Dieses Setup stellt sicher, dass dein Code und deine Daten auf deinem Rechner bleiben, ohne dass Cloud-Accounts, Daemons oder API-Keys erforderlich sind. Es nutzt KVM oder MSHV unter Linux, WHP unter Windows und HVF auf Apple Silicon Macs, um eine hohe Performance zu gewährleisten.
Im Gegensatz zu standardmäßigen webbasierten Sandboxes bietet dieser Server volle CPython 3.12 Unterstützung und native Wheels. Er behält den State zwischen den Aufrufen bei, sodass Variablen und Imports ähnlich wie in einem Jupyter Notebook persistiert werden. User können die Umgebung mit dem Tool run_python zur Ausführung und reset_sandbox zum Aktualisieren des Guests steuern. Die Sicherheit wird durch strikte Netzwerkisolation verwaltet, wobei keine externen Verbindungen erlaubt sind, sofern sie nicht explizit über die Option --net-allow freigegeben wurden.
Was du damit machen kannst
- 1Persistente Python-Skripte ausführenFühre Python-Code aus, bei dem Variablen und Funktionen für nachfolgende Tool-Aufrufe verfügbar bleiben.
- 2Sichere Datenanalyse durchführenNutze rechenintensive Scientific-Libraries wie numpy und pandas in einer hardware-isolierten Umgebung.
- 3Isolierte Berechnungen ausführenFühre Code in einer Sandbox aus, die standardmäßig keinen Zugriff auf deine lokalen Dateien oder das Internet hat.
- 4Eigene Dependencies verwaltenInstalliere spezifische Python-Packages, damit sie jedes Mal verfügbar sind, wenn die Sandbox zurückgesetzt wird.
Geschrieben aus dem README des Projekts. Jeder Use Case wurde gegen ein Zitat daraus geprüft.
So installierst du Hyperlight MCP
Formate geprüft am 10. Nov. 2026Zu Cursor hinzufügenZu Goose hinzufügenHyperlight MCP in Claude Code installieren
$ claude mcp add mcp-server-hyperlight -- uvx mcp-server-hyperlightHyperlight MCP in Cursor installieren
~/.cursor/mcp.json
{
"mcpServers": {
"mcp-server-hyperlight": {
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Hyperlight MCP in VS Code installieren
.vscode/mcp.json
{
"servers": {
"mcp-server-hyperlight": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Hyperlight MCP in VS Code CLI installieren
$ code --add-mcp '{"name":"mcp-server-hyperlight","type":"stdio","command":"uvx","args":["mcp-server-hyperlight"]}'Hyperlight MCP in Claude Desktop installieren
claude_desktop_config.json
{
"mcpServers": {
"mcp-server-hyperlight": {
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Hyperlight MCP in Codex installieren
$ codex mcp add mcp-server-hyperlight -- uvx mcp-server-hyperlightHyperlight MCP in Codex config.toml installieren
~/.codex/config.toml
[mcp_servers.mcp-server-hyperlight] command = "uvx" args = ["mcp-server-hyperlight"]
Hyperlight MCP in Gemini CLI installieren
$ gemini mcp add -s user mcp-server-hyperlight uvx -- mcp-server-hyperlightHyperlight MCP in Gemini settings.json installieren
~/.gemini/settings.json
{
"mcpServers": {
"mcp-server-hyperlight": {
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Hyperlight MCP tools 2
Erkannt aus dem READMErun_pythonreset_sandbox
| run_python | — | |
| reset_sandbox | — |
Konfiguration
RUN_ALL
| Name | Beschreibung | Typ |
|---|---|---|
| RUN_ALL | — |
Automatisierte Checks
Geluften am 12. Nov. 2026Vollständiger Bericht →Unsere automatisierten Checks bestanden. Das ist kein Security-Audit: Lies den Code und gib dem Server nur den minimal notwendigen Zugriff. Wie die Checks funktionieren
- Source Repository verknüpft und erreichbarBestanden
- Open Source Lizenz (OSI)Bestanden
- Commit oder Release im letzten JahrBestanden
- Package-Name ähnelt keinem populären PackageBestanden
- Remote Endpoint nutzt HTTPSNicht geprüft
- Destruktive Tools sind markiertBestanden
- Keine versteckten Anweisungen an das ModellBestanden
- Keine kritischen Advisories im Paket oder seinen AbhängigkeitenBestanden
README
Auf GitHub ansehenmcp-server-hyperlight
An MCP server that runs Python in a local Hyperlight micro-VM, for any MCP client: Claude Code, Claude Desktop, VS Code, Cursor and others.
The server boots a Unikraft unikernel in its own hardware-isolated micro-VM (KVM or MSHV on Linux, WHP on Windows, HVF on Apple silicon Macs) through the hluk CLI. It needs no account, no daemon and no API key, and the code and its data stay on your machine. The guest has no network access unless you allow hosts with --net-allow, and none of your files unless you mount them.
| Pyodide servers | cloud sandboxes | mcp-server-hyperlight | |
|---|---|---|---|
| Isolation | Wasm, in a Deno process | cloud VM or container | micro-VM, its own kernel |
| Python | Pyodide's packages only | full | full CPython 3.12, native wheels |
| Runs on your machine | yes | no | yes |
| Needs | Deno | account, API key | hluk and a hypervisor |
| Ready in | seconds | seconds | ~40 ms (Linux, KVM) |
Install
Install hluk v0.18.0 or later. On Linux or macOS:
curl -fsSL https://raw.githubusercontent.com/hyperlight-dev/hyperlight-unikraft/main/install.sh | sh
On Windows, in PowerShell:
irm https://raw.githubusercontent.com/hyperlight-dev/hyperlight-unikraft/main/install.ps1 | iex
Then add the server to your client. It runs with uv's uvx, or with pip install mcp-server-hyperlight and the mcp-server-hyperlight command.
Claude Code:
claude mcp add hyperlight -- uvx mcp-server-hyperlight
Claude Desktop, Cursor and other clients that take a JSON config:
{
"mcpServers": {
"hyperlight": {
"command": "uvx",
"args": ["mcp-server-hyperlight"]
}
}
}
VS Code (.vscode/mcp.json):
{
"servers": {
"hyperlight": {
"command": "uvx",
"args": ["mcp-server-hyperlight"]
}
}
}
Codex (~/.codex/config.toml), with time for uvx to install the server on its first start, and for the first call to wait for the guest image (--startup-timeout, 300 s) and then run (--timeout, 30 s), one call at a time:
[mcp_servers.hyperlight]
command = "uvx"
args = ["mcp-server-hyperlight"]
startup_timeout_sec = 60
tool_timeout_sec = 360
The OpenAI Agents SDK runs it with MCPServerStdio(params={"command": "uvx", "args": ["mcp-server-hyperlight"]}, client_session_timeout_seconds=360), for the same first call; its default of 5 seconds is shorter than a call may run.
Claude Desktop also takes it as a Desktop Extension, which needs no config: download mcp-server-hyperlight-0.1.1.mcpb from its release and open it. It installs the server from PyPI with uv. Its settings set --timeout and --net-allow.
The server starts its guest as soon as the client starts it. The first time, hluk pulls the agent image of its release (about 400 MB, a 130 MB download) and saves a warm snapshot of it booted (about 800 MB), which takes some seconds to a few minutes; after that the guest starts from the snapshot in milliseconds. The image ships CPython 3.12 with numpy, pandas, scipy, scikit-learn, matplotlib, pillow and requests. To have both ready before a client first starts the server, run hluk run --runtime agent --exec 'print("ready")'.
Tools
| Tool | |
|---|---|
run_python |
Runs Python code. Variables, imports and functions stay for the next call, as in a notebook. Returns what the code printed, subprocesses included, and the value of a trailing expression after Out:. An error returns its traceback, as a tool error. |
reset_sandbox |
Replaces the guest with a fresh one from the warm snapshot, in about 60 ms on Linux with KVM, after code still running ends or times out. Packages passed with --package are installed again, with --net-allow. |
A call that runs longer than --timeout (30 s by default) is stopped, and the guest replaced with a fresh one; so is a call that crashes the guest. The model is told its variables are gone. A call the client cancels before its turn does not run; one already running goes on until it ends or times out, as the server has no way yet to stop code short of its time limit.
Options
Pass them after the command, e.g. uvx mcp-server-hyperlight --net-allow pypi.org --net-allow files.pythonhosted.org --package sympy.
| Option | Default | |
|---|---|---|
--net-allow HOST |
none | A host or IP the guest may connect to; repeat for more, or separate them with commas. With none, every connection is refused. |
--package NAME |
none | A package to install in the guest at start and after each reset, if the image lacks it. Installing needs --net-allow for the package index. |
--timeout SECONDS |
30 | Longest a call may run, and so the longest a reset or the next call waits for one. |
--runtime NAME |
agent |
Published image to run, by name or full reference. |
--initrd PATH |
A rootfs CPIO of your own to run instead (it must have CPython 3). | |
--scratch-mb MIB |
the image's | Guest memory in MiB. |
--hluk-path PATH |
hluk on PATH |
Else where it is installed: $HLUK_INSTALL_DIR, the install scripts' ~/.local/bin (%LOCALAPPDATA%\hluk\bin on Windows), or Cargo's $CARGO_HOME/bin (~/.cargo/bin), for a client that starts the server with another PATH. |
--hluk-arg ARG |
More arguments for hluk run, one per option: --hluk-arg=--mount --hluk-arg=/data:/data:ro mounts /data read-only. |
|
--startup-timeout SECONDS |
300 | Longest to wait for the guest; the first start pulls the image. |
The tool descriptions tell the model what the guest has: its packages, which hosts it may reach, and whether it sees any of your files. With --hluk-arg, which can mount directories or open the network, they no longer say the guest has neither.
How it works
The server is a thin layer over smolagents-hyperlight's executor, which starts hluk run as a child process and talks to a small Python script in the guest over its console. The two packages share one guest protocol, its tests and its bounds on what the guest sends back.
- One guest serves the server's client, and tool calls take turns on it, so state stays consistent. A guest that fails to start is reported on the standard error, and to the model on its first call, which tries again.
- Between calls, the whole micro-VM is paused: a thread or subprocess a call leaves running only goes on while a call runs.
- The guest is not trusted: replies are bounded (64 MiB, 2 MiB of printed output) and checked before the server uses them. A tool result keeps at most 100,000 characters, its beginning and its end, as MCP clients take far less than an agent's executor does.
- The server speaks MCP on its standard input and output, and logs to its standard error. What
hlukitself writes is kept apart, and comes with the error when a guest fails to start. It stops its guest as it exits, the input closed or on aSIGTERMorSIGINT.
Known limits
- Python only, and text only: an image the code makes comes back as its
repr. Save it to a mounted directory to keep it. - Packages installed by the code itself, with pip, are gone after a reset; those passed with
--packageare installed again. - One vCPU, and threads in the guest take turns rather than run at once.
- A guest still starting when the server exits, pulling its image or installing
--packagepackages, is not stopped with it, and runs until that start ends: the executor gives the server no handle on it before then. - With
hlukv0.19.1 or earlier, each Python subprocess,pip installincluded, leaves about 15 MiB of guest memory in use until the guest is restarted (a guest kernel bug, fixed in v0.20.0). - CI tests the server on Linux (KVM) and Windows (WHP).
hluksupports Apple silicon Macs too, but the server is not tested there yet.
Development
pip install -e ../smolagents -e '.[test]'
pytest # unit tests, and the server end to end with a stand-in for hluk
RUN_ALL=1 pytest # also the tests in a real micro-VM, with the hluk on PATH
As for smolagents-hyperlight, HLUK_PATH, HLUK_INITRD and HLUK_SCRATCH_MB test a local build of hluk and its agent rootfs instead of the hluk on PATH and its published image.
Hyperlight MCP Fragen
Wie füge ich Hyperlight MCP zu Claude Code hinzu?
Führe claude mcp add mcp-server-hyperlight -- uvx mcp-server-hyperlight in deinem Terminal aus. Füge --scope user hinzu, damit der Server in jedem Projekt verfügbar ist.
Wie füge ich Hyperlight MCP zu Cursor hinzu?
Öffne ~/.cursor/mcp.json und füge den Server unter mcpServers hinzu, mit der Cursor-Config aus dem Installationsabschnitt oben.
Welche Tools bietet Hyperlight MCP?
Er stellt 2 Tools bereit, darunter run_python, reset_sandbox.
Behält die Python-Umgebung den State zwischen den Aufrufen bei?
Ja, Variablen, Imports und Funktionen bleiben für den nächsten Aufruf erhalten, ähnlich wie in einer Notebook-Umgebung.
Benötigt dieser Server ein Konto oder einen API-Key?
Nein, er benötigt kein Konto, keinen Daemon und keinen API-Key, und alle Daten bleiben auf deiner lokalen Maschine.
Kann der Python-Gast auf das Internet zugreifen?
Standardmäßig hat der Gast keinen Netzwerkzugriff, es sei denn, du erlaubst explizit bestimmte Hosts über die Option --net-allow.
Wie schnell startet die Micro-VM?
Nach dem initialen Setup kann der Gast unter Linux mittels KVM in etwa 40 ms aus einem warmen Snapshot starten.