# Wasm Bundle Size Analyzer MCP for AI Agents MCP

> Wasm Bundle Size Analyzer lets you break down your WebAssembly binaries to see exactly what's taking up space. It predicts how much your files will shrink with Gzip or Brotli and estimates how fast they'll actually run on different hardware, from high-end desktops to low-end mobile phones. It's for making sure your Wasm modules don't kill your web performance.

## Overview
- **Category:** analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/undefined/mcp
- **Tags:** webassembly, wasm, bundle-size, performance, compression

## Description

Shipping WebAssembly modules is a balancing act. You want the power of near-native speed, but if your binary is too bloated, it'll tank your page load times and frustrate users. This MCP gives you a clear view of your module's internals without you having to manually dig through binary data. You can see exactly how much of your file is dedicated to code versus data, which helps you spot unnecessary bloat early in the development cycle. It's also great for planning your delivery strategy, as it predicts how standard compression will affect your final payload size. Beyond just size, it helps you anticipate how different devices will handle your code by estimating parse and instantiation times. Instead of guessing how your app will behave on a budget smartphone, you get concrete numbers on execution latency. By using this MCP through the Vinkius catalog, you can bake these performance checks into your workflow, ensuring your modules stay within your team's specific delivery budgets before they ever hit production.

## Tools

### analyze_wasm_sections
Break down your binary into code and data components to see what's taking up space.

### check_budget_compliance
Compare your current module metrics against your team's established delivery thresholds.

### estimate_compression_savings
Predict how much your module will shrink after applying Gzip or Brotli compression.

### predict_execution_latency
Get estimates on parse and instantiation times across different hardware performance tiers.

## Prompt Examples

**Prompt:** 
```
My Wasm module is 1.2MB. Will that cause a long hang on a low-end mobile phone?
```

**Response:** 
```
Based on the module size of 1,258,291 bytes, here is the estimated performance on low-end mobile hardware:

*   **Parse Time:** ~62ms
*   **Instantiation Time:** ~185ms

**Note:** While these are relatively fast, you might notice a slight delay. To improve this, you could use `analyze_wasm_sections` to see if you can reduce the data footprint.
```

**Prompt:** 
```
I need to stay under 400KB for our production build. Does my current module meet that budget?
```

**Response:** 
```
Checking your current module against the 400KB limit:

| Metric | Value | Status |
| :--- | :--- | :--- |
| Current Size | 382 KB | **Pass** |
| Budget | 400 KB | - |

Your module is currently compliant with the production delivery threshold.
```

**Prompt:** 
```
How much will my 500KB Wasm file shrink if I use Brotli instead of Gzip?
```

**Response:** 
```
Here are the predicted compression savings for your 500KB module:

*   **Gzip:** ~310 KB (38% reduction)
*   **Brotli:** ~245 KB (51% reduction)

Switching to Brotli would save you an additional 65 KB over Gzip.
```

## Capabilities

### Break down binary components
Use analyze_wasm_sections to see the exact split between code and data in your module.

### Predict compression savings
Get estimates on how much your file size will drop using Gzip or Brotli.

### Estimate hardware latency
See how long your module takes to parse and instantiate on different device tiers.

### Check budget compliance
Compare your module metrics against your team's specific delivery thresholds.

### Identify bloat sources
Pinpoint whether your binary growth is coming from new logic or large data assets.

## Use Cases

### Preventing mobile hangs
A developer is worried a 1MB Wasm module will freeze a budget phone. They ask the agent to use predict_execution_latency to get real parse times for low-end mobile tiers.

### Optimizing bandwidth costs
A team needs to reduce payload size. They use estimate_compression_savings to decide if switching to Brotli provides a significant enough boost over Gzip for their specific binary.

### Enforcing production limits
A lead engineer wants to ensure no module exceeds 500KB. They have the agent use check_budget_compliance to verify the latest build against that threshold automatically.

### Debugging binary bloat
A module's size spiked unexpectedly. The dev uses analyze_wasm_sections to see if the growth came from new code or just larger data assets.

## Benefits

- Stop guessing about bundle sizes by using analyze_wasm_sections to see the exact breakdown of your binary components.
- Save on bandwidth costs by using estimate_compression_savings to see exactly how much Gzip or Brotli will reduce your payload.
- Avoid performance regressions on mobile by using predict_execution_latency to see how your code behaves on low-end hardware.
- Keep your project on track by using check_budget_compliance to automatically flag modules that exceed your delivery limits.
- Identify bloat early in the dev cycle by analyzing your code and data sections before you ship to production.

## How It Works

The bottom line is you get a data-driven way to optimize WebAssembly performance before deployment.

1. Provide the Wasm module's binary data or specific size metrics to your agent.
2. The agent uses the MCP to calculate section breakdowns and compression estimates.
3. You get a detailed report on bundle size, predicted savings, and hardware-specific latency.

## Frequently Asked Questions

**Can the Wasm Bundle Size Analyzer help me reduce my web app's load time?**
Yes, it identifies bloat in your WebAssembly modules so you can optimize the binary before it hits the user's browser.

**How does the Wasm Bundle Size Analyzer predict performance on different devices?**
It uses hardware performance tiers to give you estimated parse and instantiation times for your specific module size.

**Does the Wasm Bundle Size Analyzer support different compression types?**
It allows you to predict savings for standard web compression methods like Gzip and Brotli.

**Can I use the Wasm Bundle Size Analyzer to keep my modules under a certain size?**
Yes, you can set specific delivery thresholds and use the tool to check if your modules stay within those limits.

**How does the Wasm Bundle Size Analyzer show me the internal parts of my Wasm file?**
It breaks down your binary into architectural components like code and data so you can see exactly what is taking up space.

**How does the tool estimate compression savings?**
The `estimate_compression_savings` tool uses standard web-optimized algorithms to predict how much your raw Wasm size will decrease after Gzip and Brotli compression.

**Can I check if my module is too large for the critical path?**
Yes, use `check_budget_compliance` with the `critical_path` category to see if your current module size exceeds established delivery thresholds.

**What hardware profiles are supported for latency prediction?**
The `predict_execution_latency` tool supports `low_end_mobile`, `mid_range_mobile`, and `desktop_high_perf` tiers to simulate different user environments.