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)
MCP server for analyzing React Profiler exports: rerenders, commit spikes, slow components.
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": {
"perfonext-render": {
"command": "npx",
"args": [
"-y",
"@perfonext/render-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add perfonext-render -- npx -y @perfonext/render-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"perfonext-render": {
"command": "npx",
"args": [
"-y",
"@perfonext/render-mcp"
]
}
}
}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": {
"perfonext-render": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@perfonext/render-mcp"
]
}
}
}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7日
注册名称已通过 GitHub 账户 souvikdu 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(0.5.2)于2个月前进入注册中心。
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, sync. labs
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.
Lipsync videos, dub them into other languages, make talking videos and open sync. Studio.
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。
Analyze React render behavior in Next.js apps and apply fixes in the editor.
perfonext-render-mcp is a Model Context Protocol (MCP) server that gives GitHub Copilot, Claude Desktop, Claude Code, and other MCP clients structured, machine-readable React render analysis for Next.js performance work. It turns live capture sessions and React DevTools Profiler exports into component costs, exact rerender causes, and regression diffs — evidence an MCP client can act on directly.
perfonext-render-mcp is a standard MCP stdio server, so it works with any MCP-compatible client (GitHub Copilot in VS Code, Claude Desktop, Claude Code, Cursor, and others). Run it directly with npx:
npx -y @perfonext/render-mcp
Or install globally:
npm install -g @perfonext/render-mcp
The executable command remains perfonext-render-mcp after installation.
Add the server to .vscode/mcp.json (the workspace MCP configuration file):
{
"servers": { "perfonext-render": { "type": "stdio", "command": "npx", "args": ["-y", "@perfonext/render-mcp"] } } }
Reload the VS Code window and run MCP: List Servers to start it, or accept the trust prompt when it appears.
Add the server to claude_desktop_config.json:
{
"mcpServers": { "perfonext-render": { "command": "npx", "args": ["-y", "@perfonext/render-mcp"] } } }
Restart Claude Desktop to pick up the new server.
Add the server with the CLI:
claude mcp add perfonext-render -- npx -y @perfonext/render-mcp
Or add the same mcpServers entry to .mcp.json.
Any client that supports stdio MCP servers can launch npx -y @perfonext/render-mcp. Consult your client's documentation for its MCP server configuration format.
For a locally-built checkout, point command/args at node and the repo's dist/index.js instead.
spawn npx ENOENT / spawn node ENOENT on macOS with nvmIf the server fails to start with this error, your GUI MCP client likely cannot see nvm. GUI apps on macOS do not load shell config (.zshrc/.bashrc), so nvm-installed npx/node are not on PATH. Use an absolute npx path and include the same Node directory in PATH:
{
"servers": { "perfonext-render": { "type": "stdio", "command": "/Users/YOU/.nvm/versions/node/v /bin/npx", "args": ["-y", "@perfonext/render-mcp"], "env": { "PATH": "/Users/YOU/.nvm/versions/node/v /bin:/usr/bin:/bin" } } } }
Merge these fields into your client's server entry, under servers for VS Code or mcpServers for Claude Desktop/Code. Then ask your assistant: _"Run a render analysis on my app."_
perfonext-render-mcp is the agent companion to React DevTools Profiler and react-scan — best at machine-readable summaries, exact rerender-cause attribution, source-aware follow-up, and diffing. The loop is collect → analyze → fix, all locally:
Note: while a live capture session is active, React DevTools Timeline Profiler will not receive events
(react-scan/lite takes over the profiling channel). Calling
stop_render_capturerestores it.
Capabilities:
changeDescription data, and falling back to deterministic heuristics otherwisediv, span, …) and unnamed components out of ranked output so findings stay actionable| Tool | Description | |
|---|---|---|
begin_render_analysis | Entry point. Accepts `approach: "live" \ | "manual". For live: starts a capture session and returns the instrumentation snippet. For manual`: returns React DevTools Profiler export steps. |
| Tool | Description | |
|---|---|---|
run_render_capture | Called after instrumentation is wired up. Accepts `method: "manual-interaction" \ | "test-suite"`. Returns focused instructions for whichever method the user picks. |
stop_render_capture | Stop the session, finalize buffered events into a profile, and return a profileId plus dataQuality (exact \ | heuristic) for analysis |
get_captured_renders | Optional diagnostic: peek at session progress without stopping (commit count, unknown events). Only call if something seems wrong. |
| Tool | Description |
|---|---|
load_render_profile | Parse and load an exported React DevTools Profiler JSON file from disk (manual path entry point) |
get_render_summary | Summarize a loaded profile: top components by render cost, hottest commits, and detected render issues |
get_hot_commits | Rank the most expensive commits and show the top components inside each spike |
get_slow_components | Rank the slowest components by total actual render time |
get_rerender_causes | Explain rerender causes with evidence, confidence, and a risk score. Reports exact changed props/state/hooks when changeDescription data is present (dataQuality: "exact"), heuristics otherwise |
compare_renders | Diff two loaded render profiles and rank regressions, improvements, additions, and removals |
Ask your assistant: _"Run a render analysis on my app."_
Your MCP client calls begin_render_analysis and asks you to choose:
Option A — Live capture (recommended)
Your MCP client will:
127.0.0.1:7721)react-scan as a devDependency if not presentinstrumentation-client.js at your project root with the session snippetrun_render_capture)Running a test suite? Use
npx playwright testas usual.react-scan/liteinstalls
__REACT_DEVTOOLS_GLOBAL_HOOK__itself, so a visible window and the React DevTools extension are not
required. The run still yields
changeDescriptiondata anddataQuality: "exact".
Two preconditions commonly cause a silent `commitCount: 0`:
- Build flavor. A plain
next build/next startcompiles out React's profiling hooks entirely.
Choose one of:
-
next dev— real component names, but dev-mode overhead means render timings and proportions
may not match what real users experience in production.
-
next build --profilethennext start— production-accurate timings, but component names get
minified to 1-2 letters (e.g.
"V") by production minification, regardless of the profiling flag.
get_render_summarysurfaces a warning when this is detected.
- Instrumentation timing.
instrument()must run before React initializes — a static top-level import
(as shown in the generated snippet) works; mounting it as a React component, or calling it inside a
useEffect, runs too late and silently captures nothing.
The ingest server runs on a fixed port (7721). Only the sessionId line in instrumentation-client.js changes between sessions — the file does not need to be re-wired each time.
Option B — Manual DevTools export
load_render_profile({ filePath: "..." })npm install
npm run build npm test
Sample fixtures live under tests/fixtures/.
MIT