MCP规约分析工具 是 AI Skill Hub 本期精选MCP工具之一。综合评分 7.5 分,整体质量较高。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。
MCP规约分析工具 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。
MCP规约分析工具 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/orangebread/speclinter-mcp
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"mcp------": {
"command": "npx",
"args": ["-y", "speclinter-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 MCP规约分析工具 执行以下任务... Claude: [自动调用 MCP规约分析工具 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": {
"mcp______": {
"command": "npx",
"args": ["-y", "speclinter-mcp"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
[!IMPORTANT] Project Status: No Longer Supported SpecLinter MCP is no longer being actively supported, maintained, or developed. This repository remains available as-is for anyone who finds it useful, but issues, pull requests, and feature requests should not be considered actively monitored. Thank you to everyone who tried SpecLinter, shared feedback, opened issues, or used it in a workflow. Your interest and encouragement are sincerely appreciated.
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🔍 AI-Powered Specification Analysis • 📊 Quality Grading • ⚡ Task Generation
git clone https://github.com/orangebread/speclinter-mcp.git
cd speclinter-mcp
pnpm install && pnpm build
pnpm install && pnpm build
```bash
git clone https://github.com/orangebread/speclinter-mcp.git cd speclinter-mcp docker build -t speclinter/mcp .
"Initialize SpecLinter in my project"
"Analyze my codebase to understand patterns and tech stack"
docker build -t speclinter/mcp:latest . docker run -it --rm -v $(pwd):/workspace speclinter/mcp ```
❌ Grade F Spec:
"Add social features to the app"
✅ Grade A Spec:
As a user, I want to send direct messages to other users so that I can communicate privately.
Acceptance Criteria:
- Users can search for other users by username
- Messages are delivered in real-time using WebSocket
- Message history is preserved and searchable
- Users can block/unblock other users
- All messages are encrypted end-to-end
Error Handling:
- Show "User not found" for invalid usernames
- Display "Message failed to send" with retry option
- Handle offline users with message queuing
Just talk to your AI assistant naturally! Here are the most common commands:
Input Spec:
Create a product catalog page with filtering and search
SpecLinter Output: - Grade: C (needs more detail) - Generated Tasks: 6 structured tasks - Improvements: Add specific filter types, search behavior, pagination
Input Spec:
As a user, I want to log in with email and password so I can access my account.
Acceptance Criteria:
- Email validation with proper error messages
- Password must be 8+ characters
- Failed attempts are rate-limited (3 attempts/5 minutes)
- Successful login redirects to dashboard
- Remember me option for 30 days
SpecLinter Output: - Grade: A (excellent specification) - Generated Tasks: 12 detailed tasks including security, validation, and UX - Gherkin Scenarios: Auto-generated for each task
Add this to your AI IDE's MCP configuration:
{
"mcpServers": {
"speclinter": {
"command": "node",
"args": ["/absolute/path/to/dist/cli.js", "serve"]
}
}
}
These commands are retained for historical reference for anyone exploring or forking the project.
```bash git clone https://github.com/orangebread/speclinter-mcp.git cd speclinter-mcp
| AI IDE | Configuration File | Location |
|---|---|---|
| **Cursor** | mcp_servers.json | ~/.cursor/ |
| **Claude Desktop** | claude_desktop_config.json | ~/Library/Application Support/Claude/ (macOS)<br>%APPDATA%\Claude\ (Windows) |
| **Windsurf** | Check Windsurf docs | Varies |
Add this configuration:
{
"mcpServers": {
"speclinter": {
"command": "node",
"args": ["/absolute/path/to/dist/cli.js", "serve"]
}
}
}
For documentation access and examples, you can also add GitMCP integration:
{
"mcpServers": {
"speclinter-docs": {
"command": "npx",
"args": ["mcp-remote", "https://gitmcp.io/orangebread/speclinter-mcp"]
}
}
} This provides AI access to SpecLinter documentation and usage examples.
Quick Docker Setup: ```bash
由于 SpecLinter MCP 不再被主动支持、维护或开发,因此本项目仓库将保持现状供有需要的人使用,但不应考虑任何问题、拉取请求或功能请求为活跃监控。
SpecLinter MCP 提供了高级功能,包括但不限于...
SpecLinter MCP 需要 Node.js 18+ 和 pnpm(推荐)作为环境依赖。
安装 SpecLinter MCP 的步骤如下:
使用 SpecLinter MCP 的快速入门(5 分钟)...
要配置 SpecLinter MCP,请在 AI IDE 中添加以下 MCP 配置:
以下命令保留供历史参考,供任何探索或 fork 项目的人使用。
SpecLinter MCP 的核心工作流程包括 MCP 集成...
高质量的MCP工具,值得关注
该工具未明确声明开源协议,商业使用前请联系原作者确认授权范围,避免侵权风险。
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。
经综合评估,MCP规约分析工具 在MCP工具赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | speclinter-mcp |
| 原始描述 | 开源MCP工具:AI-powered specification analysis tool that converts requirements into structure。⭐35 · TypeScript |
| Topics | mcptypescriptai |
| GitHub | https://github.com/orangebread/speclinter-mcp |
| 语言 | TypeScript |
收录时间:2026-06-03 · 更新时间:2026-06-06 · License:未公布 · 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