GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者による説明(英語の原文)
MCP server for Next.js build stats, chunk attribution, and bundle optimization advice.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"perfonext-build": {
"command": "npx",
"args": [
"-y",
"@perfonext/build-mcp"
]
}
}
}ターミナルでこれを実行します
claude mcp add perfonext-build -- npx -y @perfonext/build-mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"perfonext-build": {
"command": "npx",
"args": [
"-y",
"@perfonext/build-mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"perfonext-build": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@perfonext/build-mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント souvikdu で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.6.2)がレジストリに届いたのは2 か月前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:GitHub, Desktop Commander, Cloudflare MCP
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Analyze Next.js build artifacts to find heavy routes, shared chunks, and bundle growth.
perfonext-build-mcp is a Model Context Protocol (MCP) server that gives GitHub Copilot, Claude Desktop, Claude Code, and other MCP clients structured bundle analysis for Next.js performance work. It loads .next build artifacts and turns them into route-size rankings, shared-chunk and duplication findings, and severity-ranked fix suggestions — evidence agents can reason over instead of inspecting raw .next manifests.
perfonext-build-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/build-mcp
Or install globally:
npm install -g @perfonext/build-mcp
The executable command remains perfonext-build-mcp after installation.
Add the server to .vscode/mcp.json (the workspace MCP configuration file):
{
"servers": { "perfonext-build": { "type": "stdio", "command": "npx", "args": ["-y", "@perfonext/build-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-build": { "command": "npx", "args": ["-y", "@perfonext/build-mcp"] } } }
Restart Claude Desktop to pick up the new server.
Add the server with the CLI:
claude mcp add perfonext-build -- npx -y @perfonext/build-mcp
Or add it directly to .mcp.json:
{
"mcpServers": { "perfonext-build": { "command": "npx", "args": ["-y", "@perfonext/build-mcp"] } } }
Any client that supports stdio MCP servers can launch the same command/args pair: command: npx, args: ["-y", "@perfonext/build-mcp"]. Consult your client's docs for where its MCP server configuration file lives.
For a locally-built checkout, point command/args at node and the repo's dist/index.js instead, in any of the configurations above.
Then ask your assistant: _"Load the Next.js build in ./.next and show me the largest routes."_
spawn npx ENOENT / spawn node ENOENT on macOS with nvmIf the server fails to start with spawn npx ENOENT (or spawn node ENOENT), your editor/app was likely launched from the Dock/Finder and cannot see nvm. GUI apps on macOS do not load shell config (.zshrc/.bashrc), so npx/node installed via nvm are not on PATH. This applies to VS Code, Claude Desktop, and any other GUI MCP client on macOS.
Fix it by giving the MCP config an absolute npx path and a PATH that includes the same Node bin directory (dirname $(which npx)):
{
"command": "/Users/YOU/.nvm/versions/node/v /bin/npx", "args": ["-y", "@perfonext/build-mcp"], "env": { "PATH": "/Users/YOU/.nvm/versions/node/v /bin:/usr/bin:/bin" } }
Merge the command/args/env fields above into your client's server entry (e.g. under servers for VS Code or mcpServers for Claude Desktop/Code).
.next directory| Tool | Description |
|---|---|
load_build_stats | Parse a Next.js .next directory and load the build snapshot into memory |
get_largest_routes | Rank the heaviest user-facing routes by total emitted chunk bytes |
get_shared_chunks | Rank shared chunks by size and show which routes depend on them |
compare_builds | Compare a baseline and current build snapshot to show which routes and chunks grew or shrank |
explain_growth | Severity-rank which routes and chunks drove bundle growth between two builds, with evidence-backed fix suggestions |
how_to_collect_stats | Return the recipe (manual) or an action plan (automatic) to generate .next/stats.json |
load_webpack_stats | Parse .next/stats.json and link it to a loaded build; required before trace_import |
trace_import | Explain why a module or npm package is bundled by walking its import chain to the entry |
find_duplicates | Rank npm packages whose code is emitted into more than one chunk, by wasted bytes |
explain_shared_chunks | Show which packages and app code dominate the shared chunks loaded by many routes |
suggest_optimizations | Aggregate route, chunk, and webpack-stats evidence into severity-ranked, evidence-backed fix suggestions |
The output stays machine-readable and includes raw byte counts so your MCP client can explain regressions, prioritise fixes, and suggest concrete dependency or import-level follow-up.
Every suggest_optimizations finding is sized in emittedBytes — actual on-disk chunk bytes — so suggestions of different kinds rank on one scale. Unminified webpack module sizes appear only where they are named as such (moduleSizeBytes, shareOfChunkModuleBytes).
Because Next.js content-hashes emitted filenames (framework- .js, and CSS files named purely by hash), compare_builds and explain_growth match chunks across builds by a hash-normalized identity. This prevents a rehashed-but-unchanged chunk from being misreported as removed-and-recreated, while still flagging genuinely new chunks.
The core tools read build artifacts developers already have after running next build:
.next/build-manifest.json.next/prerender-manifest.json when present.next/app-build-manifest.json when present.next/app-path-routes-manifest.json when present — maps App Router manifest keys (/gallery/page) to the real paths (/gallery) the prerender manifest is keyed by, so route type, isPrerendered, and prerenderBlockedReason are read from the build rather than guessed from the pathnext build output text to derive build durationImport-level attribution (trace_import, find_duplicates, explain_shared_chunks) and the stats-enriched suggestions from suggest_optimizations additionally need a webpack module-stats file at .next/stats.json. A stock next build does not emit one; how_to_collect_stats returns the recipe to generate it. The manifest tools above never read it, so they work with or without it.
The manifest tools work with zero setup. To answer "why is this package bundled?", collect a webpack stats file first:
how_to_collect_stats({ method: 'manual' | 'automatic' }) and apply the returned steps — it adds webpack-stats-plugin and cross-env, gates a next.config hook behind ANALYZE=true && !isServer, and rebuilds with cross-env ANALYZE=true next build --webpack. Turbopack builds will not produce .next/stats.json.load_build_stats({ buildDir }) to get a buildId.load_webpack_stats({ buildId }) to parse the generated .next/stats.json.trace_import({ buildId, moduleName }) to see the import chain that pulls a module in.find_duplicates({ buildId }) to find packages bundled into more than one chunk, and explain_shared_chunks({ buildId }) to see what dominates the chunks loaded by many routes.suggest_optimizations({ buildId }) for severity-ranked, evidence-backed recommendations. It works on manifests alone and is enriched with dedupe, shared-chunk, and package-import findings once stats are loaded. Code-split advice is tailored for Next.js framework routes (/404, /500, /_error, /_app, /_document) — these are flagged to be slimmed down by trimming imports rather than split with next/dynamic, which does not apply to them.If the app builds with Turbopack there is no webpack module graph, so how_to_collect_stats says so and points back to the manifest-only tools. The attribution tools degrade gracefully with a breadcrumb when no stats file is loaded — it is never an error.
./.next and show me the largest routes.".next builds and show me which routes or shared chunks grew the most.".next builds and what I should fix first."axios in my bundle? Trace its import chain."npm install
npm run build npm test
Sample fixtures for local validation live under tests/fixtures/.
MIT