AI Skill Hub 推荐使用:智能代码工具 是一款优质的MCP工具。AI 综合评分 7.5 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。
智能代码工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
智能代码工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/Apra-Labs/apra-fleet
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"------": {
"command": "npx",
"args": ["-y", "apra-fleet"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 智能代码工具 执行以下任务... Claude: [自动调用 智能代码工具 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"______": {
"command": "npx",
"args": ["-y", "apra-fleet"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
npm install -g @apralabs/apra-fleet
apra-fleet install # Claude Code (default)
apra-fleet install --llm agy # Google Antigravity CLI
apra-fleet install --llm gemini # Gemini CLI
apra-fleet install --llm codex # OpenAI Codex CLI
Run install once per provider you want to support. After install, load the server in Claude Code using /mcp, or restart your CLI for other providers.
Fleet is a coordination layer. The PM skill is its reference workflow library and ships today; the rest are recipes you assemble with the same tools.
| Workflow | What it does | Status |
|---|---|---|
| **Doer / Reviewer** | Two agents pair: one writes, one reviews against a quality bar. | Ships (PM skill) |
| **Plan / execute / verify** | Break work into steps, approve the plan, agents pause at checkpoints. | Ships (PM skill) |
| **Pipeline** | Agent A extracts, B transforms, C ships -- handoff by file. | Recipe |
| **Specialist routing** | Route Python work to a py-agent, Rust to a rust-agent. | Recipe |
| **Parallel exploration** | Three agents try three approaches; you merge the winner. | Recipe |
| **Cross-machine** | Build on Linux, test on Windows, deploy from a Mac. | Recipe |
To write your own skill, see docs/writing-skills.md.
/pm add 2 local members at c:\projects cloned from <git-url> -- a developer and a reviewer -- and pair them
/pm init project_icarus
/pm plan ./feature.md
/pm start the implementation sprint
/pm status
You describe the goal, approve the plan once, and Fleet runs the doer-reviewer loop to a reviewed PR.
- Run your test suite on a Linux box while you develop on macOS. - Have one agent build the frontend, another the backend, a third running tests -- all in parallel. - Use a beefy cloud VM for compilation while coding from your laptop. - Spin up isolated workspaces on one machine without them stepping on each other. - Customer-support triage: agents classify, draft replies, and escalate tickets in parallel. - Cost and operations-efficiency analysis: fan out data gathering across sources, consolidate findings. - Infrastructure surveys, log triage, and patch fan-out across many machines.
Copy-paste the one-liner for your platform:
macOS (Apple Silicon)
curl -fsSL https://github.com/Apra-Labs/apra-fleet/releases/latest/download/apra-fleet-installer-darwin-arm64 -o apra-fleet-installer && chmod +x apra-fleet-installer && ./apra-fleet-installer install
Linux (x64)
curl -fsSL https://github.com/Apra-Labs/apra-fleet/releases/latest/download/apra-fleet-installer-linux-x64 -o apra-fleet-installer && chmod +x apra-fleet-installer && ./apra-fleet-installer install
Windows (x64) -- run in PowerShell:
Invoke-WebRequest -Uri https://github.com/Apra-Labs/apra-fleet/releases/latest/download/apra-fleet-installer-win-x64.exe -OutFile apra-fleet-installer.exe; .\apra-fleet-installer.exe install
Installing for Antigravity, Codex, Copilot, or Gemini instead of Claude? Add the --llm flag -- see Install for other providers.
Then load it in your favorite LLM CLI (claude, agy, gemini, ...) using /mcp.
Now register your first members:
"Register a local member calleddoer. Register another calledreviewer. Pair them."
Verify it worked:
"Show me fleet status."
You should see both members listed with status online or idle.
Add remote machines whenever you are ready:
"Register 192.168.1.10 asbuild-server. Username akhil, work folder/home/akhil/projects/myapp."
Fleet securely collects the machine's password out-of-band -- you type it into a separate terminal, never the chat -- uses it once to set up SSH key-based auth, then forgets it. Every connection after that is key-based.
Intel Mac users: build from source -- see Development. Install details (what it writes, the --skill flag, uninstall) are in docs/install.md.
Staying current is one command. apra-fleet update checks GitHub for the latest release and installs it in place -- or tells you that you are already up to date. See keeping Fleet updated.
| Tool | Overlap | Where Fleet differs |
|---|---|---|
| Single-agent coding assistants | AI writes code | Fleet adds a second agent that reviews before you do. |
| CI self-hosted runners | Runs work on other machines | Fleet is conversational and stateful, not pipeline-triggered. |
| SkyPilot / dstack | Multi-machine compute | Fleet coordinates *agents and their context*, not just jobs. |
| Google A2A | Agent-to-agent messaging | Fleet is an opinionated workflow layer, not just a transport. |
When not to use Fleet: a one-off single-file change needs no second agent.
创新性的AI代码编写工具,值得关注
该工具使用 NOASSERTION 协议,商用场景请仔细阅读协议条款,必要时咨询法律意见。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
📄 NOASSERTION — 请查阅原始协议条款了解具体使用限制。
总体来看,智能代码工具 是一款质量良好的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | apra-fleet |
| 原始描述 | 开源MCP工具:AI agents that write code, review each other's work, and coordinate across your 。⭐58 · TypeScript |
| Topics | ai-agentsai-codingautomation |
| GitHub | https://github.com/Apra-Labs/apra-fleet |
| License | NOASSERTION |
| 语言 | TypeScript |
收录时间:2026-06-11 · 更新时间:2026-06-11 · License:NOASSERTION · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端