@caseSHY
Basic information
AICoreUtils 是一个面向 LLM Agent 的 JSON 优先命令行工具包原型。
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"aicoreutils": {
"command": "python",
"args": [
"-m",
"aicoreutils.mcp_server"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
AI Coreutils is a JSON-first command-line toolkit prototype designed for LLM agents. It is inspired by common GNU Coreutils commands but is not a complete GNU-compatible replacement. It provides a deterministic, low-noise, and easily parsable CLI interface for machine callers, with JSON output by default, JSON errors on stderr, and stable semantic exit codes.
Install the Python package with pip install aicoreutils. Run commands like aicoreutils schema --pretty, aicoreutils ls . --limit 20, or aicoreutils rm build --recursive --dry-run. For MCP integration, configure a Claude Desktop or AI IDE (Cursor, Windsurf, Continue.dev) to call python -m aicoreutils.mcp_server. Output OpenAI Function Calling format with aicoreutils tool-list --format openai.
--dry-run for all mutation commands.--raw for pipeline composition.--dry-run and risk metadata.--raw.AI Coreutils is a JSON-first CLI for LLM agents inspired by GNU Coreutils. It is not a full GNU clone—it is an agent-friendly subset that prioritizes machine-parseable output, stability, and safety features like `--dry-run`.
Python installed (any platform). The package is available via PyPI (`pip install aicoreutils`). Tests run with pytest and Hypothesis.
Commands operate on the local filesystem. Production security profiles are available: `--profile readonly` for read-only tools, `--profile workspace-write` for low-risk writes inside the current working directory.
SemVer from v1.0.0. Patch releases fix bugs without changing JSON output. Minor releases add commands/parameters while keeping existing JSON output backward compatible. Major releases may break JSON schema or tool names. LTS version 1.2.3 has critical fixes backported for at least 12 months.
MCP (Model Context Protocol) via the `aicoreutils.mcp_server` module. Authentication is not described; the server runs with the user's system permissions. OpenAI Function Calling format is also available as an alternative interface.
Official Porkbun MCP server, maintained by Porkbun. Check domain availability and pricing, register, renew and transfer domains, and manage DNS records, nameservers, URL forwarding, glue records, DNSSEC and domain contac
Console, Backend and CLI to manage Capgo Instant update and Native build for Capacitor apps Build and upload to app store your mobile app
Gives AI agents public URLs (tunnels) for localhost, live HTTP traffic inspection, snapshot publishing, and access control. Part of LocalCan, the ngrok alternative for Mac, Windows and Linux. Free plan.
Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.
Complete, hosted login, teams, billing and feature flags for your SaaS app, set up by your AI assistant: sign-in and SSO, customer teams and roles, plans and usage limits on Stripe, and feature flags. OAuth sign-in, no A
Comments