skforecast-ai runs on your own machine — the client starts it, so there is no endpoint to ping. 251 installs a week from pypi. Last commit 16 Oct 2026.
Forecast time series in CSV files: deterministic skforecast workflows and the script that ran.
We read the source, 4 d ago · rules 995398eba69f
Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.
and os.path.isfile(os.path.join(cwd, f))
exec(compiled, namespace) # noqa: S102
return pickle.load(file)
subprocess.run(
env = dict(os.environ)
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Today is the operative word: we check skforecast-ai every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add skforecast-ai -- uvx skforecast-ai-mcp
{
"mcpServers": {
"skforecast-ai": {
"command": "uvx",
"args": [
"skforecast-ai-mcp"
]
}
}
}
[mcp_servers.skforecast-ai]
command = "uvx"
args = ["skforecast-ai-mcp"]
{
"mcpServers": {
"skforecast-ai": {
"command": "uvx",
"args": [
"skforecast-ai-mcp"
]
}
}
}
{
"servers": {
"skforecast-ai": {
"type": "stdio",
"command": "uvx",
"args": [
"skforecast-ai-mcp"
]
}
}
}
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Answers built from our own checks of this server.