Resource Usage Accountant Connector for AI agents.
3 live capabilities
Control computational resource consumption in agentic workflows
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Why people use Resource Usage Accountant
Preventing agentic resource exhaustion with Resource Usage Accountant
With this MCP, that anxiety disappears. You set the rules of engagement before the agents even start. You define exactly how much CPU and memory each agent can touch, and the system enforces those rules. You move from reactive firefighting to proactive management.
What Vinkius changes
That you get a kill-switch and a dashboard for the computational costs of your AI workflows.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Preventing infinite loops in research agents
An agent gets stuck in a recursive loop while searching for data.
- Real-world use case 02
Managing memory for large-scale data processing
A multi-agent team is processing massive datasets.
- Real-world use case 03
Controlling network traffic in web-scraping workflows
A swarm of agents is crawling the web.
Complete set · 3capabilities
The complete Resource Usage Accountant capability set.
These are the exact actions your AI can choose when you ask it to work with Resource Usage Accountant.
01—03
3 capabilities in this set.
Part of 3 available through Resource Usage Accountant.
- 01 Capability
Get usage summary
Get a summary of current resource usage and remaining limits for a scope
- 02 Capability
Apply thresholds
Update or set resource usage limits for a scope
- 03 Capability
Record consumption
Record incremental resource consumption for a scope
Set up in minutes
One URL. Then ask Resource Usage Accountant to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Resource Usage Accountant 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_bznsDMWOuysMDjZ5IvPImPkxeg4PvkmLilVnVhkb/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 Accountant, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Resource Usage Accountant for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_bznsDMWOuysMDjZ5IvPImPkxeg4PvkmLilVnVhkb/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 Accountant URL.
- Step 03
Save and start
Save the connection and enable Resource Usage Accountant in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"resource-usage-accountant": {
"url": "https://edge.vinkius.com/vk_preview_bznsDMWOuysMDjZ5IvPImPkxeg4PvkmLilVnVhkb/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 Accountant
Open Agent mode in chat and ask: "Using Resource Usage Accountant, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"resource-usage-accountant": {
"url": "https://edge.vinkius.com/vk_preview_bznsDMWOuysMDjZ5IvPImPkxeg4PvkmLilVnVhkb/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 Accountant
Ask Copilot: "Using Resource Usage Accountant, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"resource-usage-accountant": {
"url": "https://edge.vinkius.com/vk_preview_bznsDMWOuysMDjZ5IvPImPkxeg4PvkmLilVnVhkb/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 Accountant
Open Cascade and ask: "Using Resource Usage Accountant, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"resource-usage-accountant": {
"url": "https://edge.vinkius.com/vk_preview_bznsDMWOuysMDjZ5IvPImPkxeg4PvkmLilVnVhkb/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 Accountant
Ask Cline: "Using Resource Usage Accountant, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add resource-usage-accountant --transport http "https://edge.vinkius.com/vk_preview_bznsDMWOuysMDjZ5IvPImPkxeg4PvkmLilVnVhkb/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 Accountant
Ask Claude: "Using Resource Usage Accountant, show me...". 3 tools are ready
Where the request belongs
Work Resource Usage Accountant can move forward.
This is for engineers and researchers running complex, multi-agent orchestrations who can't afford for a single loop to crash their entire environment.
AI Orchestration Engineer
Manages the deployment and resource allocation of large-scale multi-agent systems.
MLOps Engineer
Ensures that automated model workflows don't exceed infrastructure budget or capacity.
Backend Developer
Integrates agentic workflows into existing services without risking system stability.
Build the capability set
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Bring your own AI
Change the model, client or framework. Keep Resource Usage Accountant connected.
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Claude -
ChatGPT -
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Cursor -
VS Code -
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Before you connect
Questions about Resource Usage Accountant.
The practical details behind the request, access and result.
How can I stop an AI agent from using too much memory with Resource Usage Accountant?
You can use the configuration capabilities to set a specific memory ceiling for any agent. Once set, the system ensures the agent stays within that boundary, preventing it from consuming all available system RAM.
Can I monitor multiple agents at once using Resource Usage Accountant?
Yes. You can track resource consumption for individual agents or for an entire orchestration session, giving you a complete view of your total computational footprint.
Does Resource Usage Accountant work with any agentic framework?
It works with any agentic workflow that can interface with an MCP-compatible client. It is designed to be a flexible bridge for monitoring and enforcement.
How do I see the real-time status of my agent's CPU usage?
You can request a real-time status update at any time. This provides a clear breakdown of current CPU time, memory, and network usage compared to your set limits.
Will Resource Usage Accountant prevent my system from crashing?
It significantly reduces that risk. By enforcing limits on CPU, memory, and file descriptors, it prevents a single rogue agent from exhausting the resources your entire system needs to stay online.
How do I set resource limits for my agents?
You can use the configure_limits capability to define maximum allowed CPU time, memory, file descriptors, or network bytes for a specific agent or a whole session.
Can I track usage for an entire multi-agent session?
Yes, by providing a sessionId to report_usage or get_current_status, you can track the aggregate footprint of all agents participating in that session.
What happens when a resource limit is reached?
The usageExceeded flag in the status report will return true, allowing your orchestration logic to halt or adjust the agent's execution.
How do I check if an agent is approaching its limits?
You can use the get_usage_summary capability to retrieve the current usage and the remaining limits for a specific agent or session.
Can I set different limits for different agents?
Yes, you can use apply_thresholds to define custom maximum allowable values for CPU, memory, file descriptors, or network bytes for any specific scope.
When should I record resource consumption?
You should call record_consumption after every execution step to ensure the cumulative counters accurately reflect the agent's resource footprint.
One connection away
Give your agent a direct line to Resource Usage Accountant.
Connect Resource Usage Accountant once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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