Resource Usage Leak Detector Connector for AI agents.
4 live capabilities
Prevent connection leaks and file descriptor exhaustion in your agentic workflows
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Why people use Resource Usage Leak Detector
Resource Usage Leak Detector stops agent-driven system crashes
This Connector changes that by automating the detection process. Instead of hunting for leaks, you get notified the moment an agent crosses a limit, allowing you to kill the problematic session before it impacts other services.
What Vinkius changes
That you stop resource leaks before they crash your infrastructure.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
An agent gets stuck in a loop
You run a global scan to find the specific session that is ballooning in connection count.
- Real-world use case 02
Monitoring new deployments
Use a health snapshot to ensure your newly launched agents aren't leaking file descriptors during their first hour of work.
- Real-world use case 03
Preventing system crashes
Set strict limits so an agent cannot consume more than a set number of connections and crash the host.
Complete set · 4capabilities
The complete Resource Usage Leak Detector capability set.
These are the exact actions your AI can choose when you ask it to work with Resource Usage Leak Detector.
01—04
4 capabilities in this set.
Part of 4 available through Resource Usage Leak Detector.
- 01 Capability
Audit all sessions
Run a global scan to find any sessions that are currently leaking resources. It identifies problematic processes across your entire environment.
- 02 Capability
Configure thresholds
Set the global limits that trigger a leak alert. This prevents system exhaustion by defining acceptable usage bounds.
- 03 Capability
Get session status
Check the current health and usage levels of a specific session. It provides an instant snapshot of resource consumption.
- 04 Capability
Record resource event
Update the state by logging when a resource is opened or closed. This keeps your tracking data accurate.
Set up in minutes
One URL. Then ask Resource Usage Leak Detector to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Resource Usage Leak Detector 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_MZOAfcYkx1N38otlax8EU1WWbtJKYeQG587JMN9F/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 Resource Usage Leak Detector, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Resource Usage Leak Detector for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_MZOAfcYkx1N38otlax8EU1WWbtJKYeQG587JMN9F/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 Resource Usage Leak Detector URL.
- Step 03
Save and start
Save the connection and enable Resource Usage Leak Detector in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"resource-usage-leak-detector": {
"url": "https://edge.vinkius.com/vk_preview_MZOAfcYkx1N38otlax8EU1WWbtJKYeQG587JMN9F/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 Resource Usage Leak Detector
Open Agent mode in chat and ask: "Using Resource Usage Leak Detector, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"resource-usage-leak-detector": {
"url": "https://edge.vinkius.com/vk_preview_MZOAfcYkx1N38otlax8EU1WWbtJKYeQG587JMN9F/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 Resource Usage Leak Detector
Ask Copilot: "Using Resource Usage Leak Detector, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"resource-usage-leak-detector": {
"url": "https://edge.vinkius.com/vk_preview_MZOAfcYkx1N38otlax8EU1WWbtJKYeQG587JMN9F/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 Resource Usage Leak Detector
Open Cascade and ask: "Using Resource Usage Leak Detector, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"resource-usage-leak-detector": {
"url": "https://edge.vinkius.com/vk_preview_MZOAfcYkx1N38otlax8EU1WWbtJKYeQG587JMN9F/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 Resource Usage Leak Detector
Ask Cline: "Using Resource Usage Leak Detector, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add resource-usage-leak-detector --transport http "https://edge.vinkius.com/vk_preview_MZOAfcYkx1N38otlax8EU1WWbtJKYeQG587JMN9F/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 Resource Usage Leak Detector
Ask Claude: "Using Resource Usage Leak Detector, show me...". 4 tools are ready
Where the request belongs
Work Resource Usage Leak Detector can move forward.
The DevOps engineer who cannot afford for an agent loop to kill the production environment, and the AI developer who needs to ensure their code doesn't leak connections.
DevOps Engineer
Ensuring autonomous agents don't exhaust system-wide file descriptors during peak loads.
AI Developer
Verifying that new agentic workflows are properly closing network connections after task completion.
Security Researcher
Monitoring for anomalous resource usage patterns that might indicate compromised or malfunctioning agents.
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Monitor real-time infrastructure metrics, analyze system performance, and track active alerts across your nodes and Netdata Cloud spaces.
Bring your own AI
Change the model, client or framework. Keep Resource Usage Leak Detector connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
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Vercel AI SDK
Before you connect
Questions about Resource Usage Leak Detector.
The practical details behind the request, access and result.
How can Resource Usage Leak Detector prevent system crashes?
It monitors your agents for resource spikes and alerts you before they exhaust your system's capacity, allowing you to intervene before a crash occurs.
Can I use Resource Usage Leak Detector to monitor network connections?
Yes. It tracks the number of active connections per session and flags when they exceed your predefined limits.
Does Resource Usage Leak Detector work with any AI client?
It works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
How do I know if an agent is using too many files with Resource Usage Leak Detector?
The capability tracks file descriptor usage and notifies you immediately if a session crosses the threshold you have configured.
Can I set custom limits in Resource Usage Leak Detector?
Yes, you can adjust the global thresholds to match the specific resource requirements of your agentic workflows.
How does the server detect a leak?
A leak is identified when the count for a specific resource type (FD or CONNECTION) within an active session reaches or exceeds the established threshold, which can be configured via configure_thresholds.
What resources are tracked?
The server tracks File Descriptors (FD) and Connections.
Can I change the alert threshold?
Yes, you can use the configure_thresholds capability to adjust the maximum allowable concurrent handles for both file descriptors and connections.
One connection away
Give your agent a direct line to Resource Usage Leak Detector.
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