How does this MCP help with WebAssembly performance?

It provides estimates for parsing and instantiation times across different hardware tiers, allowing you to see how your code will behave on various devices.

Can I use this with Claude or Cursor?

Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.

What compression algorithms are supported?

The MCP can predict size reductions for both Gzip and Brotli compression.

Do I need to host the MCP myself?

No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

How do I check if my Wasm module is too large?

You can use the check_budget_compliance capability to compare your module's metrics against your specific delivery thresholds.

How does the capability estimate compression savings?

The estimate_compression_savings capability 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 capability supports low_end_mobile, mid_range_mobile, and desktop_high_perf tiers to simulate different user environments.

An astronaut overseeing a futuristic data hub

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Connect Wasm Bundle Size Analyzer to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get precise metrics on your WebAssembly module efficiency.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wasm Bundle Size Analyzer.

01
Analyze wasm sections
This capability breaks down your total binary size into specific architectural components like code and data. It gives you a clear view of what makes up the module's footprint.
02
Predict execution latency
This capability estimates how long it takes to parse and instantiate your module based on different device performance tiers. It helps you see how low-end hardware will handle your code.
03
Check budget compliance
This capability compares your current module metrics against your established delivery thresholds. It ensures you don't exceed your size or performance limits.
04
Estimate compression savings
This capability predicts how much smaller your module will be after applying Gzip or Brotli compression. It helps you plan for actual transfer sizes.

Real work

What teams actually run

Pre-deployment Validation

Check if a new Wasm module exceeds your size budget before you push it to production.

Mobile Optimization

Estimate how much a user on a low-end mobile device will wait for your module to instantiate.

Compression Planning

Determine if switching from Gzip to Brotli provides enough savings for your specific module.

Binary Debugging

Identify if the code or data section is disproportionately large in your binary.

One connector, every AI

Wasm Bundle Size Analyzer works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Wasm Bundle Size Analyzer to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

697ms average. Fast in production.

Wasm Bundle Size Analyzer is checked daily against the live service.

Daily averagePeak 811ms

Oct 3Today

Fastest day: 570ms
Slowest day: 811ms
14-day trend: Stable-4%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Wasm Bundle Size Analyzer, so you can see the experience inside your AI.

It does not authenticate your account with Wasm Bundle Size Analyzer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Wasm Bundle Size Analyzer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_dSiWGOxrC7fCAQTnfuY6qQsSHb8vxVbOGmdPtIBk/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Wasm Bundle Size Analyzer capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "wasm-bundle-size-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_dSiWGOxrC7fCAQTnfuY6qQsSHb8vxVbOGmdPtIBk/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Wasm Bundle Size Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Wasm Bundle Size Analyzer owners hand off.

This MCP is built for engineers managing high-performance web applications that rely on WebAssembly.

01
WebAssembly Developers
They hand off binary buffers to the AI to get instant size and latency reports.
02
Frontend Performance Engineers
They use the agent to ensure modules meet strict delivery budgets.
03
DevOps Engineers
They use the capability to predict how compression will affect deployment payloads.

FAQ

Questions Wasm Bundle Size Analyzer owners ask.

01
How does this MCP help with WebAssembly performance?
It provides estimates for parsing and instantiation times across different hardware tiers, allowing you to see how your code will behave on various devices.
02
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.
03
What compression algorithms are supported?
The MCP can predict size reductions for both Gzip and Brotli compression.
04
Do I need to host the MCP myself?
No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.
05
How do I check if my Wasm module is too large?
You can use the check_budget_compliance capability to compare your module's metrics against your specific delivery thresholds.
06
How does the capability estimate compression savings?
The estimate_compression_savings capability uses standard web-optimized algorithms to predict how much your raw Wasm size will decrease after Gzip and Brotli compression.
07
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.
08
What hardware profiles are supported for latency prediction?
The predict_execution_latency capability supports low_end_mobile, mid_range_mobile, and desktop_high_perf tiers to simulate different user environments.

Explore

More in Analytics

Connect Wasm Bundle Size Analyzer to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Analyze wasm sections

Predict execution latency

Check budget compliance

Estimate compression savings

What teams actually run

Pre-deployment Validation

Mobile Optimization

Compression Planning

Binary Debugging

Building your own app? The connector is yours to use.

Wasm Bundle Size Analyzer Connector

Claude Desktop

WebAssembly Developers

Frontend Performance Engineers

DevOps Engineers

How does this MCP help with WebAssembly performance?

Can I use this with Claude or Cursor?

What compression algorithms are supported?

Do I need to host the MCP myself?

How do I check if my Wasm module is too large?

How does the capability estimate compression savings?

Can I check if my module is too large for the critical path?

What hardware profiles are supported for latency prediction?

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