Aicoreutils runs on your own machine — the client starts it, so there is no endpoint to ping. 262 installs a week from pypi.
JSON-first Coreutils CLI for AI agents. 114 commands with sandbox, dry-run, and MCP support.
The linked repository no longer exists on GitHub — it was deleted or made private.
Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.
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 aicoreutils -- uvx aicoreutils
{
"mcpServers": {
"aicoreutils": {
"args": [
"aicoreutils"
],
"command": "uvx"
}
}
}
[mcp_servers.aicoreutils]
command = "uvx"
args = ["aicoreutils"]
{
"mcpServers": {
"aicoreutils": {
"args": [
"aicoreutils"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"aicoreutils": {
"args": [
"aicoreutils"
],
"command": "uvx"
}
}
}
AI Agents Framework with Self Reflection and MCP support
RMCP runtime for provider-backed agents with CLI, REST, HTTP MCP, plugins, and scaffold support.
MCP server exposing 104+ modern CLI tools for AI agents with JSON output.
Sandboxed shell exec for MCP clients: run untrusted agent commands in a gVisor container.
Zendesk MCP: 14 tools for AI agents — create, search, assign, comment, and close support tickets.
SEAM: local-first memory runtime for AI agents, with retrieval and glassbox provenance over MCP.
Modern SSH for AI agents — cloud servers to BusyBox routers, with destructive commands blocked.
Local-first, source-cited memory for AI agents with proposal review, failure memory, and MCP tools.
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