World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
MCP server for analyzing React Profiler exports: rerenders, commit spikes, slow components.
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
One time only; it works for every server that needs Node.js
SettingsDeveloperEdit Config
{
"mcpServers": {
"perfonext-render": {
"command": "npx",
"args": [
"-y",
"@perfonext/render-mcp"
]
}
}
}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
A · Use an app that can connect Perfonext Render MCP
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)
One time only; it works for every server that needs Node.js
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user perfonext-render -- npx -y @perfonext/render-mcpYou should see Perfonext Render MCP listed as connected
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)
One time only; it works for every server that needs Node.js
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)
One time only; it works for every server that needs Node.js
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.
JSON settings are under “For developers” below
Claude Code
claude mcp add --scope user perfonext-render -- npx -y @perfonext/render-mcpClaude 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.
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
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account souvikdu, which owns the repo
Code last changed 3 days ago
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed 3 days ago, and the latest version (0.5.2) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: World Monitor, Claude Flow, Windmill
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
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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.
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