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PopNx MCPMCP servers for people who use AI · explained in plain words

Perfonext Render MCP

by souvikduversion 0.5.2i★ 0iRuns on your computer
Registry nameio.github.souvikdu/perfonext-render-mcp

How to install

What it does

MCP server for analyzing React Profiler exports: rerenders, commit spikes, slow components.

  • Connects Runs on your computer
  • Account or key No key needed
  • Category Other

Install

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

Passed 2/2 checks · Runs on your computer

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "perfonext-render": {
          "command": "npx",
          "args": [
            "-y",
            "@perfonext/render-mcp"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    Use Perfonext Render MCP and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Perfonext Render MCP or shows a Perfonext Render MCP tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Perfonext Render MCP yet

Perfonext Render MCP runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Perfonext Render MCP

  • Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Node.js on your computer first (one time)
  • Install Node.js on your computer first (one time)
  • Install Node.js on your computer first (one time)

B · Others in Other that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

Install Node.js on your computer first (one time)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add --scope user perfonext-render -- npx -y @perfonext/render-mcp
  4. Type /mcp in Claude Code

    You should see Perfonext Render MCP listed as connected

  5. Try it

    Use Perfonext Render MCP and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using Perfonext Render MCP or shows a Perfonext Render MCP tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Node.js on your computer first (one time)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    Use Perfonext Render MCP and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using Perfonext Render MCP or shows a Perfonext Render MCP tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Node.js on your computer first (one time)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    Use Perfonext Render MCP and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using Perfonext Render MCP or shows a Perfonext Render MCP tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Perfonext Render MCP💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user perfonext-render -- npx -y @perfonext/render-mcp

Claude Desktop (claude_desktop_config.json)

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

Cursor (~/.cursor/mcp.json)

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

VS Code (mcp.json)

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

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

At a glance

Downloads per weeki
44/wk
Licencei
No licence stated
Connection
Runs on your computer
Latest versioni
0.5.2
Categoryi
Other
Published to registryi
Sep 5, 2026
Code last changedi
Nov 9, 2026
Maker
souvikdu
Packages
npm: @perfonext/render-mcp
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

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 12, 2026

  • ✓ Pass

    Maker matches the repo

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

  • ✓ Pass

    Still maintained

    Code last changed 3 days ago

  • … 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

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Otheri

  • More stars than 0% of the other 19341 servers in this category
  • Published to the registry more recently than 30% of the other 19341 servers in this category
  • Basic checks equal to or better than 100% of the other 19341 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 Render MCP safe?

It passed 2 of 2 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 3 days ago, and the latest version (0.5.2) 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: World Monitor, Claude Flow, Windmill

Others in the same category

Servers in the same category from other makers, sorted by stars.

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

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.

by koala73Widely used★ 90.5KUpdated today

Runs in the cloud✓ service owner · worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

by ruvnetWidely used↓ 13.5K/wk★ 81.5KUpdated 14 months ago

Runs on your computer

Windmill

Run Windmill scripts and flows and manage jobs, schedules, resources and variables.

by windmill-labsWidely used★ 18.5KUpdated today

Runs in the cloud

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-render-mcp

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.

Quick Start

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.

VS Code

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.

Claude Desktop

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.

Claude Code

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.

Other MCP clients

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.

Troubleshooting

spawn npx ENOENT / spawn node ENOENT on macOS with nvm

If 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."_

What It Does

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:

  • collect — choose live capture (react-scan/lite streams events in real time) or manual DevTools export
  • analyze — the MCP returns structured, machine-readable evidence: component costs, rerender causes, commit breakdowns, and regressions
  • fix — your MCP client uses that evidence to propose and apply concrete code changes

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_capture restores it.

Capabilities:

  • live capture — streams per-commit fiber events from a running React app directly into the MCP over a local HTTP endpoint; no manual export required
  • manual export — loads exported React DevTools Profiler JSON files as an alternative input path
  • summarizes commits, the most expensive components, and detected render issues in one call
  • ranks the hottest commits and shows the top components inside each spike
  • identifies the slowest components by total render cost
  • highlights components with repeated rerenders, reporting the exact changed props/state/hooks when live capture provides changeDescription data, and falling back to deterministic heuristics otherwise
  • annotates ranked components with their source file and line when available
  • filters DOM host elements (div, span, …) and unnamed components out of ranked output so findings stay actionable
  • compares two render profiles to surface regressions and improvements
  • keeps profiles in memory so an MCP client can iterate without re-loading

Tools

Entry point
ToolDescription
begin_render_analysisEntry point. Accepts `approach: "live" \"manual". For live: starts a capture session and returns the instrumentation snippet. For manual`: returns React DevTools Profiler export steps.
Live capture
ToolDescription
run_render_captureCalled after instrumentation is wired up. Accepts `method: "manual-interaction" \"test-suite"`. Returns focused instructions for whichever method the user picks.
stop_render_captureStop the session, finalize buffered events into a profile, and return a profileId plus dataQuality (exact \heuristic) for analysis
get_captured_rendersOptional diagnostic: peek at session progress without stopping (commit count, unknown events). Only call if something seems wrong.
Analysis
ToolDescription
load_render_profileParse and load an exported React DevTools Profiler JSON file from disk (manual path entry point)
get_render_summarySummarize a loaded profile: top components by render cost, hottest commits, and detected render issues
get_hot_commitsRank the most expensive commits and show the top components inside each spike
get_slow_componentsRank the slowest components by total actual render time
get_rerender_causesExplain 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_rendersDiff two loaded render profiles and rank regressions, improvements, additions, and removals

Usage Walkthrough

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:

  1. Start a capture session (ingest server on 127.0.0.1:7721)
  2. Install react-scan as a devDependency if not present
  3. Write instrumentation-client.js at your project root with the session snippet
  4. Import it from your app's client-side entry point
  5. Ask whether you want to interact manually or run a test suite (run_render_capture)
  6. Stop the session and run analysis

Running a test suite? Use npx playwright test as usual. react-scan/lite installs

__REACT_DEVTOOLS_GLOBAL_HOOK__ itself, so a visible window and the React DevTools extension are not

required. The run still yields changeDescription data and dataQuality: "exact".

Two preconditions commonly cause a silent `commitCount: 0`:

- Build flavor. A plain next build/next start compiles 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 --profile then next 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_summary surfaces 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

  1. Open React DevTools in the browser → Profiler tab → Record
  2. Interact with the app
  3. Export the JSON and share the file path
  4. Your MCP client calls load_render_profile({ filePath: "..." })

Example Prompts

  • "Run a render analysis on my app."
  • "Stop the capture and show me the slowest components."
  • "Which components are re-rendering the most and why?"
  • "Compare this run to the profile I captured before the refactor."
  • "I already have a React DevTools export — load it and tell me what's slow."
  • "Show me the hottest commits and which components dominated each spike."

Related Perfonext Tools

Development

npm install

npm run build npm test

Sample fixtures live under tests/fixtures/.

License

MIT