Wasm Bundle Size Analyzer Connector for AI agents.
4 live capabilities
Optimize WebAssembly bundle sizes and predict execution latency on diverse hardware.
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Why people use Wasm Bundle Size Analyzer
Wasm Bundle Size Analyzer for WebAssembly Performance Auditing
This Connector changes that by giving your agent direct access to the internal metrics of your Wasm modules. You can instantly see the code-to-data ratio and get hard numbers on how your file will shrink with Brotli. It moves the work from manual guesswork to automated, data-driven performance checks.
What Vinkius changes
You get a data-driven way to optimize WebAssembly performance before deployment.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Preventing mobile hangs
A developer is worried a 1MB Wasm module will freeze a budget phone.
- Real-world use case 02
Optimizing bandwidth costs
A team needs to reduce payload size.
- Real-world use case 03
Enforcing production limits
A lead engineer wants to ensure no module exceeds 500KB.
Complete set · 4capabilities
The complete Wasm Bundle Size Analyzer capability set.
These are the exact actions your AI can choose when you ask it to work with Wasm Bundle Size Analyzer.
01—04
4 capabilities in this set.
Part of 4 available through Wasm Bundle Size Analyzer.
- 01 Capability
Analyze wasm sections
Break down your binary into code and data components to see what's taking up space.
- 02 Capability
Check budget compliance
Compare your current module metrics against your team's established delivery thresholds.
- 03 Capability
Estimate compression savings
Predict how much your module will shrink after applying Gzip or Brotli compression.
- 04 Capability
Predict execution latency
Get estimates on parse and instantiation times across different hardware performance tiers.
Set up in minutes
One URL. Then ask Wasm Bundle Size Analyzer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Wasm Bundle Size Analyzer from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_dSiWGOxrC7fCAQTnfuY6qQsSHb8vxVbOGmdPtIBk/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Wasm Bundle Size Analyzer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Wasm Bundle Size Analyzer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_dSiWGOxrC7fCAQTnfuY6qQsSHb8vxVbOGmdPtIBk/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Wasm Bundle Size Analyzer URL.
- Step 03
Save and start
Save the connection and enable Wasm Bundle Size Analyzer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"wasm-bundle-size-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_dSiWGOxrC7fCAQTnfuY6qQsSHb8vxVbOGmdPtIBk/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Wasm Bundle Size Analyzer
Open Agent mode in chat and ask: "Using Wasm Bundle Size Analyzer, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"wasm-bundle-size-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_dSiWGOxrC7fCAQTnfuY6qQsSHb8vxVbOGmdPtIBk/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Wasm Bundle Size Analyzer
Ask Copilot: "Using Wasm Bundle Size Analyzer, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"wasm-bundle-size-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_dSiWGOxrC7fCAQTnfuY6qQsSHb8vxVbOGmdPtIBk/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Wasm Bundle Size Analyzer
Open Cascade and ask: "Using Wasm Bundle Size Analyzer, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"wasm-bundle-size-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_dSiWGOxrC7fCAQTnfuY6qQsSHb8vxVbOGmdPtIBk/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Wasm Bundle Size Analyzer
Ask Cline: "Using Wasm Bundle Size Analyzer, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add wasm-bundle-size-analyzer --transport http "https://edge.vinkius.com/vk_preview_dSiWGOxrC7fCAQTnfuY6qQsSHb8vxVbOGmdPtIBk/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Wasm Bundle Size Analyzer
Ask Claude: "Using Wasm Bundle Size Analyzer, show me...". 4 tools are ready
Where the request belongs
Work Wasm Bundle Size Analyzer can move forward.
Performance engineers who need to hit strict load times on diverse hardware. It's for the frontend dev who's worried their Wasm module will crash a mobile browser or for the systems architect trying to squeeze every byte out of a binary.
Performance Engineer
Auditing Wasm binaries to ensure they meet strict bundle size limits for production.
Frontend Developer
Checking how a new Wasm feature will impact load times on low-end mobile devices.
Systems Architect
Planning compression strategies for multi-platform web applications.
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Bring your own AI
Change the model, client or framework. Keep Wasm Bundle Size Analyzer connected.
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ChatGPT -
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Before you connect
Questions about Wasm Bundle Size Analyzer.
The practical details behind the request, access and result.
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 capability 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 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.
One connection away
Give your agent a direct line to Wasm Bundle Size Analyzer.
Connect Wasm Bundle Size Analyzer once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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