AI Skill Hub 推荐使用:Claude 代码协同 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。
Claude 代码协同 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。
Claude 代码协同 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/Everyone-Needs-A-Copilot/claude-copilot
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"claude-----": {
"command": "npx",
"args": ["-y", "claude-copilot"]
}
}
}
# 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 Claude 代码协同 执行以下任务... Claude: [自动调用 Claude 代码协同 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": {
"claude_____": {
"command": "npx",
"args": ["-y", "claude-copilot"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<p align="center"> <a href="https://ineedacopilot.com"> <img src="assets/copilot-co-logo.svg" alt="Claude Copilot" width="100"> </a> </p>
<p align="center"> <strong>An instruction layer for Claude Code that gives every developer access to a full team of specialists.</strong> </p>
<p align="center"> <a href="https://github.com/Everyone-Needs-A-Copilot/claude-copilot/releases/latest"><img src="https://img.shields.io/github/v/release/Everyone-Needs-A-Copilot/claude-copilot?color=green" alt="Version"></a> <a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/github/license/Everyone-Needs-A-Copilot/claude-copilot" alt="License"></a> <a href="https://github.com/Everyone-Needs-A-Copilot/claude-copilot"><img src="https://img.shields.io/github/stars/Everyone-Needs-A-Copilot/claude-copilot?style=social" alt="GitHub stars"></a> <a href="https://nodejs.org"><img src="https://img.shields.io/badge/Node.js-18%2B-339933?logo=node.js" alt="Node.js"></a> <a href="https://claude.com/claude-code"><img src="https://img.shields.io/badge/Claude_Code-Compatible-7C3AED" alt="Claude Code"></a> </p>
---
| Requirement | Version |
|---|---|
| Python | 3.9+ |
| Claude Code | Latest |
| Disk space | ~100MB |
Build tools (for Python packages):
xcode-select --installsudo apt-get install build-essential---
cd ~/.claude/copilot && claude
Then say:
Read @SETUP.md and set up Claude Copilot on this machine
cd ~/your-project && claude
Then run:
/setup-project
For substantial features, use parallel work streams:
/protocol ultrawork add OAuth authentication with Google and GitHub
Step 1: Planning
The Tech Architect creates a plan with parallel streams:
✓ PRD Created: PRD-xyz789
✓ 4 streams identified with 18 tasks
Stream Structure:
Depth 0 (Foundation):
• Stream-A (Database & Config) - 4 tasks
Depth 1 (Parallel):
• Stream-B (Google OAuth) - 5 tasks → depends on: Stream-A
• Stream-C (GitHub OAuth) - 5 tasks → depends on: Stream-A
Depth 2 (Integration):
• Stream-Z (Integration & Docs) - 4 tasks → depends on: Stream-B, Stream-C
Next: Run /orchestrate start to begin parallel execution
Step 2: Set up worktrees and launch agents
/orchestrate start
Scaffolding ready. Each stream has an isolated worktree.
Launching Task agents for each stream...
Stream-A (Foundation)... ✓ Agent launched
Stream-B (blocked by Stream-A) - will start when ready
Stream-C (blocked by Stream-A) - will start when ready
Stream-Z (blocked by Stream-B, Stream-C) - will start when ready
Step 3: Monitor progress
/orchestrate status
Stream | Status | Progress
-----------|-------------|----------
Stream-A | completed | 100%
Stream-B | in_progress | 60%
Stream-C | in_progress | 40%
Stream-Z | pending | 0%
Step 4: Completion
When all streams finish:
🎉 INITIATIVE COMPLETE 🎉
All streams completed. 18 git commits created.
---
Two patterns cover most development work:
高质量的MCP工具,具有广泛的应用前景
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。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,Claude 代码协同 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 | claude-copilot |
| 原始描述 | 开源MCP工具:Transform Claude Code into a full development team. 11 specialized agents (Archi。⭐13 · Python |
| Topics | ai-agentsai-frameworkanthropicclaude |
| GitHub | https://github.com/Everyone-Needs-A-Copilot/claude-copilot |
| License | MIT |
| 语言 | Python |
收录时间:2026-06-04 · 更新时间:2026-06-04 · License:MIT · 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