WebSocket Capacity Planner Connector for AI agents.
4 live capabilities
Plan your real-time infrastructure and fleet requirements with precision.
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Why people use WebSocket Capacity Planner
WebSocket Capacity Planner for Infrastructure Scaling
This Connector changes that by putting the math upfront. You tell your agent your RAM and user goals, and it gives you a hard number. You get a clear roadmap for your fleet size and network load before you write a single line of production code.
What Vinkius changes
You get a data-backed infrastructure roadmap instead of a best guess.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Scaling a chat app
A dev wants to support 1 million users and asks the agent to use calculate_required_servers to find the fleet size for a global rollout.
- Real-world use case 02
Cost optimization
An engineer wants to see if they can squeeze more users onto 16GB RAM nodes and uses estimate_max_connections to find the max connection count.
- Real-world use case 03
Broadcast planning
A gaming company needs to know the egress load for a 500-subscriber channel and uses estimate_broadcast_load to get a specific message-per-second count.
Complete set · 4capabilities
The complete WebSocket Capacity Planner capability set.
These are the exact actions your AI can choose when you ask it to work with WebSocket Capacity Planner.
01—04
4 capabilities in this set.
Part of 4 available through WebSocket Capacity Planner.
- 01 Capability
Estimate broadcast load
Predicts the network egress load when sending messages to multiple subscribers. It's essential for understanding fan-out costs.
- 02 Capability
Calculate bandwidth overhead
Tells you exactly how much data your heartbeat pings are consuming. This helps you plan for steady-state network costs.
- 03 Capability
Calculate required servers
Gives you the total number of instances needed to hit a specific user target. It handles the math for scaling your fleet globally.
- 04 Capability
Estimate max connections
Determines the maximum concurrent users a single node can host based on your RAM. It prevents your hardware from crashing due to memory exhaustion.
Set up in minutes
One URL. Then ask WebSocket Capacity Planner to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use WebSocket Capacity Planner 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_A2KKR618IPEurqCafkvsVgIKXzk9F63mnDdpvJwf/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 WebSocket Capacity Planner, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable WebSocket Capacity Planner for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_A2KKR618IPEurqCafkvsVgIKXzk9F63mnDdpvJwf/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 WebSocket Capacity Planner URL.
- Step 03
Save and start
Save the connection and enable WebSocket Capacity Planner in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"websocket-capacity-planner": {
"url": "https://edge.vinkius.com/vk_preview_A2KKR618IPEurqCafkvsVgIKXzk9F63mnDdpvJwf/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 WebSocket Capacity Planner
Open Agent mode in chat and ask: "Using WebSocket Capacity Planner, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"websocket-capacity-planner": {
"url": "https://edge.vinkius.com/vk_preview_A2KKR618IPEurqCafkvsVgIKXzk9F63mnDdpvJwf/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 WebSocket Capacity Planner
Ask Copilot: "Using WebSocket Capacity Planner, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"websocket-capacity-planner": {
"url": "https://edge.vinkius.com/vk_preview_A2KKR618IPEurqCafkvsVgIKXzk9F63mnDdpvJwf/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 WebSocket Capacity Planner
Open Cascade and ask: "Using WebSocket Capacity Planner, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"websocket-capacity-planner": {
"url": "https://edge.vinkius.com/vk_preview_A2KKR618IPEurqCafkvsVgIKXzk9F63mnDdpvJwf/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 WebSocket Capacity Planner
Ask Cline: "Using WebSocket Capacity Planner, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add websocket-capacity-planner --transport http "https://edge.vinkius.com/vk_preview_A2KKR618IPEurqCafkvsVgIKXzk9F63mnDdpvJwf/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 WebSocket Capacity Planner
Ask Claude: "Using WebSocket Capacity Planner, show me...". 4 tools are ready
Where the request belongs
Work WebSocket Capacity Planner can move forward.
The infrastructure engineer who's tired of clicking through dashboards at 2am to figure out why the system is lagging, or the backend developer who's terrified that a sudden traffic spike will crash the entire fleet.
DevOps Engineer
Running capacity audits to ensure the production fleet can handle peak loads.
Network Architect
Calculating egress costs and bandwidth requirements for large-scale broadcast systems.
Backend Developer
Estimating how many concurrent users a single instance can handle during the early design phase.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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NetEase Cloud Gaming
Manage NetEase Cloud Gaming sessions. orchestrate server instances, monitor user quotas, and scaling capacity directly from any AI agent.
Tencent START
Orchestrate Tencent START Cloud Gaming (GS). manage server sessions, monitor workers, and scale capacity directly from any AI agent.
Agora
Orchestrate Agora real-time engagement. manage channels, monitor usage, and handle cloud recording directly from any AI agent.
API Rate Limit Calculator
Predict API exhaustion and simulate traffic-shaping algorithms.
Sliding Window Rate Limiter
Enforces exact API rate limits across parallel agents to prevent 429 errors.
Bring your own AI
Change the model, client or framework. Keep WebSocket Capacity Planner connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about WebSocket Capacity Planner.
The practical details behind the request, access and result.
What does the WebSocket Capacity Planner do?
It helps you calculate exactly how many concurrent users your hardware can support and how many nodes you need to scale to your target audience.
How can I use this to plan my instance fleet?
You can tell your agent your target user count and your per-node capacity, and it will give you a specific number of instances to provision.
Can it help me estimate my network costs?
Yes, it calculates the network egress load for message broadcasting and the bandwidth overhead for heartbeat pings to help you predict costs.
How does it calculate connection limits?
It uses your hardware's memory constraints and the memory footprint per connection to give you a hard limit on concurrent users.
Is this for real-time chat apps?
Yes, it is specifically designed for real-time systems like chat, gaming, and live streaming where WebSocket connection limits are critical.
Can it tell me how much bandwidth my heartbeats use?
It provides a specific estimate of the bandwidth consumed by your ping and pong traffic so you can plan your steady-state network costs.
How do I estimate the maximum connections for my server?
Use the estimate_max_connections capability by providing your available RAM and the estimated memory footprint per connection.
Can this help me plan for a global user base?
Yes, use calculate_required_servers to determine how many server instances are needed to support your target total connection count.
How is network overhead calculated?
The calculate_bandwidth_overhead capability estimates the bandwidth consumed by heartbeat traffic based on your connection count and ping interval.
One connection away
Give your agent a direct line to WebSocket Capacity Planner.
Connect WebSocket Capacity Planner once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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