Ejecuta código Python en una micro-VM local con aislamiento por hardware que mantiene el estado entre llamadas para una ejecución segura y rápida.
También conocido como hyperlight-dev/hyperlight-unikraft, mcp-server-hyperlight
- Stars
- 50
- Herramientas
- 2
- Descargas, 30 días
- 333
- Última versión
- 0.1.1
- Último commit
- 14 nov 2026
- Licencia
- Apache-2.0
¿Qué es Hyperlight MCP?
Hyperlight es un MCP server. Ejecuta código Python en una micro-VM local con aislamiento por hardware que mantiene el estado entre llamadas para una ejecución segura y rápida. Expone 2 herramientas, como run_python, reset_sandbox.
Resumen generado a partir del README del proyecto
Acerca del MCP server de Hyperlight
Hyperlight ofrece una forma segura de ejecutar código Python dentro de una micro-VM local con aislamiento por hardware. Diseñado para desarrolladores que utilizan clientes MCP como Claude Desktop, Cursor, VS Code o Claude Code, ejecuta un unikernel Unikraft a través de la CLI hluk. Esta configuración garantiza que tu código y tus datos permanezcan en tu máquina sin necesidad de cuentas en la nube, daemons o API keys. Utiliza KVM o MSHV en Linux, WHP en Windows y HVF en Macs con Apple silicon para mantener un alto rendimiento.
A diferencia de los sandboxes web estándar, este servidor ofrece soporte completo para CPython 3.12 y wheels nativos. Mantiene el estado entre llamadas, lo que permite que las variables y las importaciones persistan de forma similar a un Jupyter notebook. Los usuarios pueden controlar el entorno usando la herramienta run_python para la ejecución y reset_sandbox para refrescar el invitado. La seguridad se gestiona mediante un estricto aislamiento de red, donde no se permiten conexiones externas a menos que se autoricen específicamente mediante la opción --net-allow.
Qué puedes hacer con él
- 1Ejecutar scripts de Python persistentesEjecuta código Python donde las variables y funciones permanecen disponibles para llamadas de herramientas posteriores.
- 2Realizar análisis de datos seguroUtiliza librerías científicas pesadas como numpy y pandas en un entorno con aislamiento por hardware.
- 3Ejecutar computaciones aisladasEjecuta código en un sandbox que no tiene acceso a tus archivos locales ni a internet por defecto.
- 4Gestionar dependencias personalizadasInstala paquetes de Python específicos para que estén disponibles cada vez que se reinicie el sandbox.
Escrito a partir del README del proyecto. Cada caso de uso se verifica con una cita del mismo.
Cómo instalar Hyperlight MCP
Formatos verificados el 10 nov 2026Añadir a CursorAñadir a GooseInstalar Hyperlight MCP en Claude Code
$ claude mcp add mcp-server-hyperlight -- uvx mcp-server-hyperlightInstalar Hyperlight MCP en Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"mcp-server-hyperlight": {
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Instalar Hyperlight MCP en VS Code
.vscode/mcp.json
{
"servers": {
"mcp-server-hyperlight": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Instalar Hyperlight MCP en VS Code CLI
$ code --add-mcp '{"name":"mcp-server-hyperlight","type":"stdio","command":"uvx","args":["mcp-server-hyperlight"]}'Instalar Hyperlight MCP en Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"mcp-server-hyperlight": {
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Instalar Hyperlight MCP en Codex
$ codex mcp add mcp-server-hyperlight -- uvx mcp-server-hyperlightInstalar Hyperlight MCP en Codex config.toml
~/.codex/config.toml
[mcp_servers.mcp-server-hyperlight] command = "uvx" args = ["mcp-server-hyperlight"]
Instalar Hyperlight MCP en Gemini CLI
$ gemini mcp add -s user mcp-server-hyperlight uvx -- mcp-server-hyperlightInstalar Hyperlight MCP en Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"mcp-server-hyperlight": {
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Herramientas de Hyperlight MCP 2
Detectado desde el READMErun_pythonreset_sandbox
| run_python | — | |
| reset_sandbox | — |
Configuración
RUN_ALL
| Nombre | Descripción | Tipo |
|---|---|---|
| RUN_ALL | — |
Verificaciones automáticas
Ejecutado 12 nov 2026Informe completo →Pasó nuestras verificaciones automáticas. Esto no es una auditoría de seguridad: lee el código y dale al servidor el acceso más limitado que necesite. Cómo funcionan las verificaciones
- Repositorio de origen vinculado y accesibleAprobado
- Licencia de código abierto (OSI)Aprobado
- Commit o lanzamiento en el último añoAprobado
- El nombre del paquete no es similar a un paquete popularAprobado
- El endpoint remoto usa HTTPSNo verificado
- Las herramientas destructivas están etiquetadasAprobado
- Sin instrucciones ocultas para el modeloAprobado
- No hay avisos críticos en el paquete ni en sus dependenciasAprobado
README
Ver en GitHubmcp-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.
Preguntas sobre Hyperlight MCP
¿Cómo agrego Hyperlight MCP a Claude Code?
Ejecuta claude mcp add mcp-server-hyperlight -- uvx mcp-server-hyperlight en tu terminal. Añade --scope user para que esté disponible en todos los proyectos.
¿Cómo agrego Hyperlight MCP a Cursor?
Abre ~/.cursor/mcp.json y añade el servidor en mcpServers, usando la configuración de Cursor que se muestra en la sección de instalación de arriba.
¿Qué herramientas proporciona Hyperlight MCP?
Expone 2 herramientas, incluidas run_python, reset_sandbox.
¿El entorno de Python mantiene el estado entre llamadas?
Sí, las variables, importaciones y funciones permanecen para la siguiente llamada, de forma similar a un entorno de notebook.
¿Requiere este servidor una cuenta o una API key?
No, no requiere ninguna cuenta, ni daemon, ni API key, y todos los datos permanecen en tu máquina local.
¿Puede el invitado de Python acceder a internet?
Por defecto, el invitado no tiene acceso a la red a menos que permitas explícitamente hosts específicos usando la opción --net-allow.
¿Qué tan rápido inicia la micro-VM?
Tras la configuración inicial, el invitado puede iniciar desde un snapshot en caliente en aproximadamente 40 ms en Linux usando KVM.