Executa código Python em uma micro-VM local com isolamento de hardware que mantém o estado entre as chamadas para uma execução segura e rápida.
Também conhecido como hyperlight-dev/hyperlight-unikraft, mcp-server-hyperlight
- Stars
- 50
- Ferramentas
- 2
- Downloads, 30 dias
- 333
- Versão mais recente
- 0.1.1
- Último commit
- 14 de nov. de 2026
- Licença
- Apache-2.0
O que é o MCP Hyperlight?
Hyperlight é um MCP server. Executa código Python em uma micro-VM local com isolamento de hardware que mantém o estado entre as chamadas para uma execução segura e rápida. Ele expõe 2 ferramentas, como run_python, reset_sandbox.
Resumo gerado a partir do README do projeto
Sobre o MCP server de Hyperlight
O Hyperlight oferece uma maneira segura de executar código Python dentro de uma micro-VM local com isolamento de hardware. Projetado para desenvolvedores que utilizam clientes MCP como Claude Desktop, Cursor, VS Code ou Claude Code, ele executa um unikernel Unikraft através da CLI hluk. Essa configuração garante que seu código e dados permaneçam em sua máquina sem a necessidade de contas na nuvem, daemons ou chaves de API. Ele utiliza KVM ou MSHV no Linux, WHP no Windows e HVF em Macs com Apple silicon para manter o alto desempenho.
Diferente de sandboxes padrão baseadas na web, este servidor oferece suporte total ao CPython 3.12 e wheels nativos. Ele mantém o estado entre as chamadas, permitindo que variáveis e imports persistam de forma semelhante a um Jupyter notebook. Os usuários podem controlar o ambiente usando a ferramenta run_python para execução e reset_sandbox para atualizar o guest. A segurança é gerenciada por meio de um isolamento de rede rigoroso, onde nenhuma conexão externa é permitida, a menos que seja especificamente autorizada via opção --net-allow.
O que você pode fazer com ele
- 1Executar scripts Python persistentesExecute código Python onde variáveis e funções permanecem disponíveis para chamadas de ferramentas subsequentes.
- 2Realizar análise de dados seguraUtilize bibliotecas científicas pesadas como numpy e pandas em um ambiente com isolamento de hardware.
- 3Executar computações isoladasExecute código em um sandbox que não possui acesso aos seus arquivos locais ou à internet por padrão.
- 4Gerenciar dependências customizadasInstale pacotes Python específicos para que fiquem disponíveis toda vez que o sandbox for resetado.
Escrito a partir do README do projeto. Cada caso de uso é verificado com uma citação dele.
Como instalar o MCP Hyperlight
Formatos verificados em 10 nov 2026Adicionar ao CursorAdicionar ao GooseInstalar o MCP Hyperlight no Claude Code
$ claude mcp add mcp-server-hyperlight -- uvx mcp-server-hyperlightInstalar o MCP Hyperlight no Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"mcp-server-hyperlight": {
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Instalar o MCP Hyperlight no VS Code
.vscode/mcp.json
{
"servers": {
"mcp-server-hyperlight": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Instalar o MCP Hyperlight no VS Code CLI
$ code --add-mcp '{"name":"mcp-server-hyperlight","type":"stdio","command":"uvx","args":["mcp-server-hyperlight"]}'Instalar o MCP Hyperlight no Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"mcp-server-hyperlight": {
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Instalar o MCP Hyperlight no Codex
$ codex mcp add mcp-server-hyperlight -- uvx mcp-server-hyperlightInstalar o MCP Hyperlight no Codex config.toml
~/.codex/config.toml
[mcp_servers.mcp-server-hyperlight] command = "uvx" args = ["mcp-server-hyperlight"]
Instalar o MCP Hyperlight no Gemini CLI
$ gemini mcp add -s user mcp-server-hyperlight uvx -- mcp-server-hyperlightInstalar o MCP Hyperlight no Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"mcp-server-hyperlight": {
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Ferramentas do MCP Hyperlight 2
Detectadas a partir do READMErun_pythonreset_sandbox
| run_python | — | |
| reset_sandbox | — |
Configuração
RUN_ALL
| Nome | Descrição | Tipo |
|---|---|---|
| RUN_ALL | — |
Verificações automatizadas
Executado em 12 de nov. de 2026Relatório completo →Passou em nossas verificações automatizadas. Isso não é uma auditoria de segurança: leia o código e dê ao servidor o acesso mais restrito de que ele precisa. Como as verificações funcionam
- Repositório de origem vinculado e acessívelPassou
- Licença de código aberto (OSI)Passou
- Commit ou release no último anoPassou
- Nome do pacote não é próximo a um pacote popularPassou
- O endpoint remoto usa HTTPSNão verificado
- Ferramentas destrutivas estão rotuladasPassou
- Sem instruções ocultas para o modeloPassou
- Nenhum aviso crítico no pacote ou em suas dependênciasPassou
README
Ver no 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.
Perguntas sobre o MCP Hyperlight
Como adiciono o MCP Hyperlight ao Claude Code?
Execute claude mcp add mcp-server-hyperlight -- uvx mcp-server-hyperlight no seu terminal. Adicione --scope user para torná-lo disponível em todos os projetos.
Como adiciono o MCP Hyperlight ao Cursor?
Abra ~/.cursor/mcp.json e adicione o servidor em mcpServers, usando a configuração do Cursor mostrada na seção de instalação acima.
Quais ferramentas o MCP Hyperlight oferece?
Ele expõe 2 ferramentas, incluindo run_python, reset_sandbox.
O ambiente Python mantém o estado entre as chamadas?
Sim, variáveis, imports e funções permanecem para a próxima chamada, de forma semelhante a um ambiente de notebook.
Este servidor requer conta ou chave de API?
Não, não requer conta, daemon ou chave de API, e todos os dados permanecem na sua máquina local.
O guest Python pode acessar a internet?
Por padrão, o guest não possui acesso à rede, a menos que você permita explicitamente hosts específicos usando a opção --net-allow.
Quão rápido a micro-VM inicia?
Após a configuração inicial, o guest pode iniciar a partir de um snapshot quente em aproximadamente 40 ms no Linux usando KVM.