npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

playwright-network-chaos-mcp

v0.2.1

Published

MCP server that gives AI agents dynamic network chaos control over Playwright browser sessions

Downloads

479

Readme

playwright-network-chaos-mcp 🐸💥

npm version npm downloads CI License: MIT

An MCP server that gives AI agents dynamic network chaos control over Playwright browser sessions.

Your tests run on perfect networks. Your users don't. This MCP lets AI agents simulate API outages, inject latency, drop connections mid-flight, and block third-party resources — then assert whether the app handles it gracefully.


🤔 The Problem

CI environments have flawless connectivity. APIs respond in milliseconds. CDNs never go down. So your tests pass — and then production breaks when the payment service returns a 503, the network drops mid-checkout, or Google Analytics hangs for 8 seconds and freezes the page.

AI agents writing Playwright tests have no way to introduce or reason about network instability. They can't ask:

  • 🙈 Does the checkout page show an error state when the payment API fails?
  • 🙈 Does the skeleton loader appear while the dashboard API is slow?
  • 🙈 Does the app still work if all tracking scripts are blocked?
  • 🙈 What happens if the network drops after the order is submitted but before the response arrives?

playwright-network-chaos-mcp fixes that.


🛠️ Tools

simulate_api_failure

Intercepts requests matching a pattern and forces them to return an error status code. Checks if the app shows a fallback UI.

{
  "url": "https://your-app.com/checkout",
  "intercept_pattern": "**/api/payment**",
  "status_code": 503,
  "fallback_selector": ".error-boundary",
  "wait_ms": 2000
}
{
  "intercepted_count": 2,
  "fallback_found": true,
  "fallback_selector": ".error-boundary",
  "page_state": {
    "page_errors": [],
    "console_errors": ["Failed to load resource: 503"]
  }
}

inject_latency

Adds artificial delay to matching requests. Checks if loading states appear while the app waits.

{
  "url": "https://your-app.com/dashboard",
  "intercept_pattern": "**/api/**",
  "latency_ms": 3000,
  "jitter_ms": 500,
  "loading_selector": ".skeleton-loader"
}
{
  "intercepted_count": 4,
  "intercepted_requests": [
    { "url": "https://api.your-app.com/users", "method": "GET", "delay_ms": 3241 }
  ],
  "loading_state_found": true,
  "load_time_ms": 3890
}

block_resources

Aborts requests to specified URL patterns — for testing third-party outages (analytics, CDNs, tracking pixels).

{
  "url": "https://your-app.com",
  "block_patterns": ["**/analytics**", "*.doubleclick.net/**", "**/hotjar**"],
  "core_content_selector": ".main-content",
  "wait_ms": 2000
}
{
  "blocked_count": 7,
  "blocked_urls": ["https://www.google-analytics.com/analytics.js", "..."],
  "core_content_found": true,
  "page_state": { "page_errors": [], "console_errors": [] }
}

simulate_network_drop

Aborts requests mid-flight after a delay — simulating connection loss between request and response.

{
  "url": "https://your-app.com/checkout",
  "intercept_pattern": "**/api/order**",
  "drop_after_ms": 800,
  "fallback_selector": ".network-error-toast",
  "wait_ms": 3000
}
{
  "intercepted_count": 1,
  "fallback_found": true,
  "fallback_selector": ".network-error-toast",
  "page_state": { "page_errors": ["TypeError: Failed to fetch"] }
}

trigger_system_network_error

Aborts requests with an OS-level error code — simulating DNS failures, firewall blocks, and connection resets.

{
  "url": "https://your-app.com/dashboard",
  "intercept_pattern": "**/api/**",
  "error_code": "addressunreachable",
  "fallback_selector": ".network-error"
}
{
  "error_code": "addressunreachable",
  "intercepted_count": 3,
  "fallback_found": true,
  "page_state": { "page_errors": [], "console_errors": ["net::ERR_ADDRESS_UNREACHABLE"] }
}

simulate_stateful_failure

Fails the first N requests then lets subsequent ones succeed — testing retry logic and recovery flows.

{
  "url": "https://your-app.com/dashboard",
  "intercept_pattern": "**/api/data**",
  "http_status": 503,
  "failure_count": 2,
  "success_payload": "{\"data\":[]}",
  "fallback_selector": ".retry-button"
}
{
  "failure_count": 2,
  "actual_failed": 2,
  "actual_succeeded": 1,
  "intercepted_requests": [
    { "url": "...", "method": "GET", "status": 503, "attempt": 1, "outcome": "failed" },
    { "url": "...", "method": "GET", "status": 200, "attempt": 3, "outcome": "passed" }
  ],
  "fallback_found": true
}

inject_response_corruption

Serves malformed responses at the protocol level — unterminated JSON, content-length lies, or truncated payloads.

{
  "url": "https://your-app.com/checkout",
  "intercept_pattern": "**/api/order**",
  "corruption_type": "malformed_json",
  "fallback_selector": ".parse-error"
}
{
  "corruption_type": "malformed_json",
  "intercepted_count": 1,
  "fallback_found": false,
  "page_state": { "page_errors": ["SyntaxError: Unexpected token u in JSON"] }
}

assert_chaos_handled

Injects a chaos HTTP status and returns a structured pass/fail verdict — chaos_survived is true only when the fallback UI appears and there are no unhandled JS exceptions.

{
  "url": "https://your-app.com/checkout",
  "intercept_pattern": "**/api/**",
  "http_status": 500,
  "expected_fallback_selector": ".error-boundary"
}
{
  "http_status": 500,
  "unhandled_exceptions": [],
  "console_errors": ["Failed to load resource: 500"],
  "fallback_ui_detected": true,
  "chaos_survived": true
}

🚀 Installation

npx playwright-network-chaos-mcp

Or install globally:

npm install -g playwright-network-chaos-mcp
npx playwright install chromium

Claude Desktop config

{
  "mcpServers": {
    "playwright-network-chaos-mcp": {
      "command": "npx",
      "args": ["-y", "playwright-network-chaos-mcp"]
    }
  }
}

💡 Example Agent Prompts

"Check if the checkout page shows a proper error state when the payment API returns 503"

"Simulate a 3 second API delay on the dashboard and verify the skeleton loader appears"

"Block all analytics and tracking scripts and confirm the main content still loads"

"Drop the order submission request mid-flight and check if the user sees an error message"

"Simulate DNS failure for the API and check if the error boundary renders"

"Fail the first 3 requests then succeed — does the app retry and recover automatically?"

"Inject malformed JSON and assert the app doesn't crash — return a chaos verdict"


🔗 Related Projects


📄 License

MIT © vola-trebla