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Perfonext Build MCP

by souvikduversion 0.6.2i★ –iRuns on your computer
Registry nameio.github.souvikdu/perfonext-build-mcp

Install

Overview

Description from the maker (original English)

MCP server for Next.js build stats, chunk attribution, and bundle optimization advice.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "perfonext-build": {
      "command": "npx",
      "args": [
        "-y",
        "@perfonext/build-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add perfonext-build -- npx -y @perfonext/build-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "perfonext-build": {
      "command": "npx",
      "args": [
        "-y",
        "@perfonext/build-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "perfonext-build": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@perfonext/build-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account souvikdu, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 4906 servers in this category
  • Published to the registry more recently than 40% of the other 4906 servers in this category
  • Basic checks equal to or better than 100% of the other 4906 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Perfonext Build MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.6.2) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 4 days ago
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Desktop Commander

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MCP server for terminal commands, file operations, and process management

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Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

perfonext-build-mcp

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.

Quick Start

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.

VS Code

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.

Claude Desktop

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.

Claude Code

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"] } } }

Other MCP clients

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."_

Troubleshooting

spawn npx ENOENT / spawn node ENOENT on macOS with nvm

If 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).

What It Does

  • loads Next.js build artifacts from a .next directory
  • ranks the largest user-facing routes by emitted bundle footprint
  • identifies the heaviest shared chunks that affect multiple routes
  • compares two builds and explains which routes and chunks drove bundle growth, with severity-ranked, evidence-backed fix suggestions
  • matches chunks across builds even though Next.js fingerprints filenames with content hashes
  • traces why a given module or npm package is bundled (import chain entry → module) when an optional webpack stats file is collected
  • finds npm packages duplicated across chunks and explains what dominates shared chunks
  • aggregates all of the above into severity-ranked, evidence-backed optimization suggestions tied to concrete Next.js actions
  • keeps loaded build snapshots in memory so an MCP client can inspect them without re-reading the same build

Tools

ToolDescription
load_build_statsParse a Next.js .next directory and load the build snapshot into memory
get_largest_routesRank the heaviest user-facing routes by total emitted chunk bytes
get_shared_chunksRank shared chunks by size and show which routes depend on them
compare_buildsCompare a baseline and current build snapshot to show which routes and chunks grew or shrank
explain_growthSeverity-rank which routes and chunks drove bundle growth between two builds, with evidence-backed fix suggestions
how_to_collect_statsReturn the recipe (manual) or an action plan (automatic) to generate .next/stats.json
load_webpack_statsParse .next/stats.json and link it to a loaded build; required before trace_import
trace_importExplain why a module or npm package is bundled by walking its import chain to the entry
find_duplicatesRank npm packages whose code is emitted into more than one chunk, by wasted bytes
explain_shared_chunksShow which packages and app code dominate the shared chunks loaded by many routes
suggest_optimizationsAggregate 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.

Inputs

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 path
  • optional captured next build output text to derive build duration

Import-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.

Deep bundle attribution (optional)

The manifest tools work with zero setup. To answer "why is this package bundled?", collect a webpack stats file first:

  1. Call 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.
  2. Call load_build_stats({ buildDir }) to get a buildId.
  3. Call load_webpack_stats({ buildId }) to parse the generated .next/stats.json.
  4. Call trace_import({ buildId, moduleName }) to see the import chain that pulls a module in.
  5. Call 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.
  6. Call 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.

Example Prompts

  • "Load the Next.js build in ./.next and show me the largest routes."
  • "Which shared chunks are affecting the most routes in this build?"
  • "Summarize the build footprint and tell me which routes ship the most JavaScript."
  • "Compare my baseline and current .next builds and show me which routes or shared chunks grew the most."
  • "Explain what grew between my baseline and current .next builds and what I should fix first."
  • "Set up webpack stats collection so I can see why a package is bundled."
  • "Why is axios in my bundle? Trace its import chain."
  • "Which npm packages are duplicated across chunks and how many bytes are wasted?"
  • "What's dominating my shared chunks?"
  • "Suggest the highest-impact bundle optimizations for this build."

Related Perfonext Tools

Development

npm install

npm run build npm test

Sample fixtures for local validation live under tests/fixtures/.

License

MIT

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