₢ 킹

** ܧ Package Migration Notice**: 이 패키지는 이전 @mkxultra/claude-code-mcp 였고, 여러 AI CLI 도구에 대한 확장된 지원을 반영하기 위해 ai-cli-mcp로 이름을 변경했습니다.

MCP (Model Context Protocol) 서버는 AI CLI 도구를 실행할 수 있습니다 (Claude, Codex, Gemini, OpenCode, Grok, Pi) 자동 권한 처리와 배경 프로세스.

Cursor는 때때로 복잡하고 다단계 편집 또는 운영으로 투쟁 했습니까? 이 서버는 강력한 통합 run] 도구를 사용하여 여러 AI 에이전트를 사용하여 코딩 작업을 더 효과적으로 처리 할 수 있습니다.

데모

개요

이 MCP 서버는 AI CLI 도구와 상호 작용하기 위해 LLMs에 의해 사용될 수있는 도구를 제공합니다. MCP 클라이언트와 통합 할 때, 그것은 LLMs를 할 수 있습니다:

• 모든 권한으로 Claude CLI를 실행 (사용 --dangerously-skip-permissions)
• 승인 및 샌드박스를 통한 Codex CLI 실행 ([T4]])
• Antigravity CLI(agy --print], stream-json], --dangerously-skip-permissions])를 통해 Gemini 모델을 실행

AI CLI MCP Server

🇯🇵 日本語のREADMEはこちら

📦 Package Migration Notice: This package was formerly @mkxultra/claude-code-mcp and has been renamed to ai-cli-mcp to reflect its expanded support for multiple AI CLI tools.

An MCP (Model Context Protocol) server that allows running AI CLI tools (Claude, Codex, Gemini, OpenCode, Grok, and Pi) in background processes with automatic permission handling.

Did you notice that Cursor sometimes struggles with complex, multi-step edits or operations? This server, with its powerful unified run tool, enables multiple AI agents to handle your coding tasks more effectively.

Demo

Overview

This MCP server provides tools that can be used by LLMs to interact with AI CLI tools. When integrated with MCP clients, it allows LLMs to:

• Run Claude CLI with all permissions bypassed (using --dangerously-skip-permissions)
• Execute Codex CLI with approvals and sandbox bypassed (using --dangerously-bypass-approvals-and-sandbox)
• Execute Gemini models through Antigravity CLI (agy --print, stream-json, and --dangerously-skip-permissions)
• Execute Grok Build CLI headlessly with streaming-messages-json, automatic tool approval, and automatic updates disabled
• Execute OpenCode in non-interactive JSON mode (using opencode run --format json --dir )
• Execute Pi in non-interactive JSON mode with tool approval enabled for unattended runs
• Support multiple AI models: Claude (sonnet, sonnet[1m], opus, opusplan, fable, haiku), Codex (gpt-6-astra, gpt-6.1-sol, gpt-6-sol, gpt-6-luna, gpt-5.4, gpt-5.6-sol, gpt-5.6-terra, gpt-5.6-luna, gpt-5.5, gpt-5.4-mini, gpt-5.3-codex, gpt-5.3-codex-spark, gpt-5.2), Gemini (gemini-3.8-flash-high/medium/low, gemini-3.7-flash-high/medium/low, gemini-3.6-flash-high/medium/low, gemini-3.1-pro-high/low), Grok (grok, grok-4.6, grok-4.5), OpenCode (opencode plus oc-), and Pi (pi plus pi-)
• Manage background processes with PID tracking
• Parse and return structured outputs from both tools

Usage Example (Advanced Parallel Processing)

You can instruct your main agent to run multiple tasks in parallel like this:

Launch agents for the following 3 tasks using acm mcp run:

1. Refactor src/backend code using sonnet
2. Create unit tests for src/frontend using gpt-5.3-codex
3. Update docs in docs/ using gemini-3.1-pro-high

While they run, please update the TODO list. Once done, use the wait tool to wait for all completions and report the results together.

Usage Example (Context Caching & Sharing)