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Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
제작자가 쓴 설명(영어 원문)
MCP server for Next.js build stats, chunk attribution, and bundle optimization advice.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"perfonext-build": {
"command": "npx",
"args": [
"-y",
"@perfonext/build-mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add perfonext-build -- npx -y @perfonext/build-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"perfonext-build": {
"command": "npx",
"args": [
"-y",
"@perfonext/build-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"perfonext-build": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@perfonext/build-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 souvikdu 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.6.2)은 2개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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