Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Predicts where JavaScript and TypeScript code will fail at runtime, for coding agents.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"predictive-debugger": {
"command": "npx",
"args": [
"-y",
"predictive-debugger"
]
}
}
}在终端中运行这条命令
claude mcp add predictive-debugger -- npx -y predictive-debugger粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"predictive-debugger": {
"command": "npx",
"args": [
"-y",
"predictive-debugger"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"predictive-debugger": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"predictive-debugger"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 SpeedosDK 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.9.0)于40天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, LickityClick
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Create, edit and track LickityClick short links, campaigns and click stats from your AI assistant.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Website and docs: [predictivedebugger.dev](https://predictivedebugger.dev)
MCP server for finding likely runtime failures in JavaScript and TypeScript. Seven tools help your coding agent check types, rank risky files, trace dependencies, inspect logs and get an independent model review with a line number and reason.
Uses the Claude Code, Codex or GitHub Copilot CLI you already have installed. Prediction calls use that CLI's model access and usage allowance. No separate API key is needed. Your provider's terms apply to those calls; check them before use, especially on a Claude subscription. See Provider terms.
Requires Node.js 22 or later. For model predictions, install and sign in to at least one supported CLI. Python 3 is optional for log analysis.
Choose your agent below. npx downloads and runs the package automatically.
Claude Code
Run in your project on macOS, Linux or WSL:
claude mcp add --scope project predictive-debugger -- npx -y predictive-debugger@latest
On native Windows, from PowerShell:
claude mcp add --scope project predictive-debugger -- cmd /d /c npx -y predictive-debugger@latest
Use --scope user to make it available in every project.
Codex
For a user-level setup on macOS, Linux or WSL:
codex mcp add predictive-debugger -- npx -y predictive-debugger@latest
On native Windows, from PowerShell:
codex mcp add predictive-debugger -- cmd /d /c npx -y predictive-debugger@latest
For project-only setup or a longer startup timeout, see Codex configuration.
GitHub Copilot CLI
Add to .mcp.json in your project:
{
"mcpServers": { "predictive-debugger": { "command": "npx", "args": ["-y", "predictive-debugger@latest"], "tools": ["*"] } } }
On native Windows, use "command": "cmd" and "args": ["/d", "/c", "npx", "-y", "predictive-debugger@latest"].
For every project, see Copilot user-level setup.
Restart your agent and check /mcp for predictive-debugger and its seven tools. To check that the package downloads and print its version:
npx -y predictive-debugger@latest --version
Running without --version starts a stdio server that waits for your agent's messages. See setup help for local builds and troubleshooting.
Use Predictive Debugger to find the riskiest files in src/.
Show the imports and tests connected to src/services/orders.ts. Check src/services/orders.ts for likely runtime failures. Find unusual entries in logs/app.log.
| Tool | What it does | Model call |
|---|---|---|
scan_project | Rank source files by risk density. Excludes tests by default. | No |
analyze_file | Return complexity metrics, risk scores and contributing signals. | No |
check_types | Return selected files' TypeScript compiler diagnostics using local project settings. | No |
map_dependencies | Find imports, reverse imports and connected test files, with source-line evidence. | No |
analyze_logs | Return log anomalies, ranked by severity and unusual wording. | No |
predict_failures | Get an independent model verdict with a line number, reason and confidence. Supports batches. | Yes |
list_providers | Check which supported CLIs are installed and their sign-in status. | No |
Start with scan_project and check_types, then read the files they highlight. Use map_dependencies to find related files and predict_failures when you want a second opinion. Pass several paths as files so small files share bounded model calls and avoid repeating the CLI context for every file.
See the tool reference for parameters, result fields and limits.
How the server asks agents to verify new code
The server's MCP instructions ask agents to check code they wrote in the current session from a fresh context. The routing depends on file count:
| Change | Requested check |
|---|---|
| One file, including a feature contained in one file | A fresh predict_failures call |
| Several files | A sub-agent scoped to the changed files and intended behavior, where the host supports it |
| Mechanical correction with one clear answer | Neither check required |
Grouped predictions retain per-file verdicts. They do not verify a feature's requirements. The benefit of the sub-agent rule has not been measured.
predict_failures sends source and bounded dependency context to your CLI's model provider. Set calleeContext: false to omit dependency context.An unfinished extension can show findings in the Problems panel. It requires a local build and is not available on the Marketplace or as a prebuilt VSIX. See trying the extension.
MIT.