经 AI Skill Hub 精选评估,规范驱动工作流MCP 获评「强烈推荐」。已获得 4.2k 颗 GitHub Star,这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.2 分,适合有一定技术背景的用户使用。
基于Model Context Protocol的开源MCP服务器,提供结构化规范驱动的开发工具。支持工作流自动化和上下文管理,帮助开发者通过标准化规范提升代码质量和开发效率,适合AI应用和自动化工程师。
规范驱动工作流MCP 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。
基于Model Context Protocol的开源MCP服务器,提供结构化规范驱动的开发工具。支持工作流自动化和上下文管理,帮助开发者通过标准化规范提升代码质量和开发效率,适合AI应用和自动化工程师。
规范驱动工作流MCP 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/Pimzino/spec-workflow-mcp
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"-------mcp": {
"command": "npx",
"args": ["-y", "spec-workflow-mcp"]
}
}
}
# 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 规范驱动工作流MCP 执行以下任务... Claude: [自动调用 规范驱动工作流MCP 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": {
"_______mcp": {
"command": "npx",
"args": ["-y", "spec-workflow-mcp"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
npm install
<details> <summary><strong>Augment Code</strong></summary>
Configure in your Augment settings:
{
"mcpServers": {
"spec-workflow": {
"command": "npx",
"args": ["-y", "@pimzino/spec-workflow-mcp@latest", "/path/to/your/project"]
}
}
} </details>
<details> <summary><strong>Claude Code CLI</strong></summary>
Add to your MCP configuration:
claude mcp add spec-workflow npx @pimzino/spec-workflow-mcp@latest -- /path/to/your/project
Important Notes: - The -y flag bypasses npm prompts for smoother installation - The -- separator ensures the path is passed to the spec-workflow script, not to npx - Replace /path/to/your/project with your actual project directory path
Alternative for Windows (if the above doesn't work):
claude mcp add spec-workflow cmd.exe /c "npx @pimzino/spec-workflow-mcp@latest /path/to/your/project" </details>
<details> <summary><strong>Claude Desktop</strong></summary>
Add to claude_desktop_config.json:
{
"mcpServers": {
"spec-workflow": {
"command": "npx",
"args": ["-y", "@pimzino/spec-workflow-mcp@latest", "/path/to/your/project"]
}
}
}
Important: Run the dashboard separately with --dashboard before starting the MCP server.
</details>
<details> <summary><strong>Cline/Claude Dev</strong></summary>
Add to your MCP server configuration:
{
"mcpServers": {
"spec-workflow": {
"command": "npx",
"args": ["-y", "@pimzino/spec-workflow-mcp@latest", "/path/to/your/project"]
}
}
} </details>
<details> <summary><strong>Continue IDE Extension</strong></summary>
Add to your Continue configuration:
{
"mcpServers": {
"spec-workflow": {
"command": "npx",
"args": ["-y", "@pimzino/spec-workflow-mcp@latest", "/path/to/your/project"]
}
}
} </details>
<details> <summary><strong>Cursor IDE</strong></summary>
Add to your Cursor settings (settings.json):
{
"mcpServers": {
"spec-workflow": {
"command": "npx",
"args": ["-y", "@pimzino/spec-workflow-mcp@latest", "/path/to/your/project"]
}
}
} </details>
<details> <summary><strong>OpenCode</strong></summary>
Add to your opencode.json configuration file:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"spec-workflow": {
"type": "local",
"command": ["npx", "-y", "@pimzino/spec-workflow-mcp@latest", "/path/to/your/project"],
"enabled": true
}
}
} </details>
<details> <summary><strong>Windsurf</strong></summary>
Add to your ~/.codeium/windsurf/mcp_config.json configuration file:
{
"mcpServers": {
"spec-workflow": {
"command": "npx",
"args": ["-y", "@pimzino/spec-workflow-mcp@latest", "/path/to/your/project"]
}
}
} </details>
<details> <summary><strong>Codex</strong></summary>
Add to your ~/.codex/config.toml configuration file:
[mcp_servers.spec-workflow]
command = "npx"
args = ["-y", "@pimzino/spec-workflow-mcp@latest", "/path/to/your/project"] </details>
Run the dashboard in a Docker container for isolated deployment:
```bash
cd containers docker-compose up --build
docker build -f containers/Dockerfile -t spec-workflow-mcp . docker run -p 5000:5000 -v "./workspace/.spec-workflow:/workspace/.spec-workflow:rw" spec-workflow-mcp ```
The dashboard will be available at: http://localhost:5000
npm run build
Simply mention spec-workflow in your conversation:
server { listen 443 ssl; server_name dashboard.example.com; ssl_certificate /path/to/cert.pem; ssl_certificate_key /path/to/key.pem; auth_basic "Dashboard Access"; auth_basic_user_file /etc/nginx/.htpasswd; location / { proxy_pass http://127.0.0.1:5000; proxy_http_version 1.1; proxy_set_header Upgrade $http_upgrade; proxy_set_header Connection "upgrade"; } } ```
For sandboxed environments (e.g., Codex CLI with sandbox_mode=workspace-write) where $HOME is read-only, use the SPEC_WORKFLOW_HOME environment variable to redirect global state files to a writable location:
SPEC_WORKFLOW_HOME=/workspace/.spec-workflow-mcp npx -y @pimzino/spec-workflow-mcp@latest /workspace
Option A: Web Dashboard (Required for CLI users) Start the dashboard (runs on port 5000 by default):
npx -y @pimzino/spec-workflow-mcp@latest --dashboard
The dashboard will be accessible at: http://localhost:5000
Note: Only one dashboard instance is needed. All your projects will connect to the same dashboard.
Option B: VSCode Extension (Recommended for VSCode users)
Install Spec Workflow MCP Extension from the VSCode marketplace.
A Model Context Protocol (MCP) server for structured spec-driven development with real-time dashboard and VSCode extension.
高质量的MCP工具实现,4.2k星标认可度高。规范驱动设计新颖,代码质量好,适合构建AI工作流系统。
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。
⚠️ GPL 3.0 — 强 Copyleft,衍生作品须开源,含专利保护条款,不可闭源使用。
AI Skill Hub 点评:规范驱动工作流MCP 的核心功能完整,质量优秀。对于Claude Desktop / Claude Code 用户来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | spec-workflow-mcp |
| 原始描述 | 开源MCP工具:A Model Context Protocol (MCP) server that provides structured spec-driven devel。⭐4.2k · TypeScript |
| Topics | MCP服务器工作流自动化规范驱动开发TypeScript |
| GitHub | https://github.com/Pimzino/spec-workflow-mcp |
| License | GPL-3.0 |
| 语言 | TypeScript |
收录时间:2026-05-14 · 更新时间:2026-05-16 · License:GPL-3.0 · 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