Runs Python code in a local, hardware-isolated micro-VM that maintains state between calls for secure and fast execution.
Also known as hyperlight-dev/hyperlight-unikraft, mcp-server-hyperlight
- Stars
- 50
- Tools
- 2
- Downloads, 30 days
- 333
- Latest version
- 0.1.1
- Last commit
- Nov 14, 2026
- License
- Apache-2.0
What is Hyperlight MCP?
Hyperlight runs Python code in a local, hardware-isolated micro-VM that maintains state between calls for secure and fast execution. It exposes 2 tools, such as run_python, reset_sandbox.
Summary generated from the project's README
About Hyperlight MCP server
Hyperlight provides a secure way to execute Python code within a local, hardware-isolated micro-VM. Designed for developers using MCP clients like Claude Desktop, Cursor, VS Code, or Claude Code, it runs a Unikraft unikernel through the hluk CLI. This setup ensures that your code and data remain on your machine without requiring any cloud accounts, daemons, or API keys. It utilizes KVM or MSHV on Linux, WHP on Windows, and HVF on Apple silicon Macs to maintain high performance.
Unlike standard web-based sandboxes, this server offers full CPython 3.12 support and native wheels. It maintains state between calls, allowing variables and imports to persist similarly to a Jupyter notebook. Users can control the environment using the run_python tool for execution and reset_sandbox to refresh the guest. Security is managed through strict network isolation, where no external connections are allowed unless specifically permitted via the --net-allow option.
What you can do with it
- 1Execute persistent Python scriptsRun Python code where variables and functions remain available for subsequent tool calls.
- 2Perform secure data analysisUse heavy scientific libraries like numpy and pandas in a hardware-isolated environment.
- 3Run isolated computationsExecute code in a sandbox that has no access to your local files or the internet by default.
- 4Manage custom dependenciesInstall specific Python packages to be available every time the sandbox is reset.
Written from the project's README. Every use case is checked against a quote from it.
How to install Hyperlight MCP
Formats verified 10 Nov 2026Add to CursorAdd to GooseInstall Hyperlight MCP in Claude Code
$ claude mcp add mcp-server-hyperlight -- uvx mcp-server-hyperlightInstall Hyperlight MCP in Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"mcp-server-hyperlight": {
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Install Hyperlight MCP in VS Code
.vscode/mcp.json
{
"servers": {
"mcp-server-hyperlight": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Install Hyperlight MCP in VS Code CLI
$ code --add-mcp '{"name":"mcp-server-hyperlight","type":"stdio","command":"uvx","args":["mcp-server-hyperlight"]}'Install Hyperlight MCP in Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"mcp-server-hyperlight": {
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Install Hyperlight MCP in Codex
$ codex mcp add mcp-server-hyperlight -- uvx mcp-server-hyperlightInstall Hyperlight MCP in Codex config.toml
~/.codex/config.toml
[mcp_servers.mcp-server-hyperlight] command = "uvx" args = ["mcp-server-hyperlight"]
Install Hyperlight MCP in Gemini CLI
$ gemini mcp add -s user mcp-server-hyperlight uvx -- mcp-server-hyperlightInstall Hyperlight MCP in Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"mcp-server-hyperlight": {
"command": "uvx",
"args": [
"mcp-server-hyperlight"
]
}
}
}Hyperlight MCP tools 2
Detected from the READMErun_pythonreset_sandbox
| run_python | — | |
| reset_sandbox | — |
Configuration
RUN_ALL
| Name | Description | |
|---|---|---|
| RUN_ALL | — |
Automated checks
Ran Nov 12, 2026Full report →Passed our automated checks. That is not a security audit: read the code and give the server the narrowest access it needs. How checks work
- Source repository linked and reachablePass
- Open source license (OSI)Pass
- Commit or release in the last yearPass
- Package name not close to a popular packagePass
- Remote endpoint uses HTTPSNot checked
- Destructive tools are labelledPass
- No hidden instructions to the modelPass
- No critical advisory in the package or its dependenciesPass
README
View on 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.
Hyperlight MCP questions
How do I add Hyperlight MCP to Claude Code?
Run claude mcp add mcp-server-hyperlight -- uvx mcp-server-hyperlight in your terminal. Add --scope user to make it available in every project.
How do I add Hyperlight MCP to Cursor?
Open ~/.cursor/mcp.json and add the server under mcpServers, using the Cursor config shown in the install section above.
What tools does Hyperlight MCP provide?
It exposes 2 tools, including run_python, reset_sandbox.
Does the Python environment keep state between calls?
Yes, variables, imports, and functions stay for the next call, similar to a notebook environment.
Does this server require an account or API key?
No, it requires no account, no daemon, and no API key, and all data stays on your local machine.
Can the Python guest access the internet?
By default, the guest has no network access unless you explicitly allow specific hosts using the --net-allow option.
How fast does the micro-VM start?
After the initial setup, the guest can start from a warm snapshot in approximately 40 ms on Linux using KVM.