
Connect AI Usage Metering Analytics 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. Determine ROI and optimize your billing infrastructure.
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.

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.
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.
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.
01-04
4 capabilities in this set.
Part of 4 available through Usage Metering Analytics.
- 01
Analyze economic efficiency
Provides a high-level summary of the relationship between metering costs and revenue protection
- 02
Calculate infrastructure overhead
Determines the total operational cost required to support a specific metering configuration
- 03
Estimate billing accuracy gain
Calculates the financial value of improving metering precision to reduce revenue leakage
- 04
Evaluate fraud mitigation value
Estimates the cost savings achieved by detecting fraudulent usage patterns through granular telemetry
Real work
What teams actually run
Cloud Service Billing
A cloud provider uses this MCP to calculate the cost of adding new storage tiers, ensuring the infrastructure investment is justified by potential revenue gains.
Utility Metering Upgrades
A utility company uses it to model the savings achieved by upgrading old meters, focusing on reduced fraud and improved billing accuracy.
SaaS Usage Tracking
A SaaS company uses this to prove that investing in granular usage tracking pays for itself by reducing customer churn due to billing disputes.
Telecommunications Billing
A telecom firm uses it to evaluate the economic benefit of implementing advanced usage monitoring to detect and mitigate unauthorized usage.
One connector, every AI
Usage Metering Analytics 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Usage Metering Analytics 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
884ms average. Fast in production.
Usage Metering Analytics is checked daily against the live service.
- Fastest day
- 698ms
- Slowest day
- 1010ms
- 14-day trend
- Stable-3%
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 Usage Metering Analytics, so you can see the experience inside your AI.
It does not authenticate your account with Usage Metering Analytics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Usage Metering Analytics Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_wlF18P5iYD2SzMNKZqyqnNI006qLX4doXoD1hcXW/mcpClaude 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 — Usage Metering Analytics capabilities are ready to use.
{
"mcpServers": {
"ai-usage-metering-analytics-mcp": {
"url": "https://edge.vinkius.com/vk_preview_wlF18P5iYD2SzMNKZqyqnNI006qLX4doXoD1hcXW/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 Usage Metering Analytics in Claude and other AIs
Who it's for
Built for the work Usage Metering Analytics owners hand off.
This MCP is built for finance and operations leaders who manage usage-based billing models. If you need to justify infrastructure spending or prove the value of better data capture, this capability gives you the numbers.
- 01
Billing Director
Use it to model how improvements in metering precision affect revenue leakage and billing accuracy.
- 02
CFO / VP of Finance
Run the analysis to determine the overall Return on Investment (ROI) of your entire usage tracking system.
- 03
Infrastructure Lead
Calculate the total operational overhead required to support new or upgraded metering configurations.
FAQ
Questions Usage Metering Analytics owners ask.
- 01
What kind of data does this MCP need to run?
The MCP requires core metrics related to your usage model, such as storage capacity, billing leakage rates, and the cost of your current infrastructure setup. The prompt examples show how to structure these inputs.
- 02
Can this MCP calculate the ROI for me?
Yes. By combining inputs for infrastructure overhead, revenue gain, and fraud mitigation, the MCP allows you to determine the overall Return on Investment (ROI) of your metering system.
- 03
Is this for physical utility meters or digital usage?
This MCP is designed for usage-based billing models, whether those are derived from physical infrastructure or digital data streams. It focuses on the financial implications of the metering process itself.
- 04
Do I need to write code to use these capabilities?
No. You connect the MCP to your AI client, and then you simply prompt the AI in natural language. The AI handles calling the correct capability for you.
- 05
Does it only calculate costs, or can it calculate gains too?
It does both. You can calculate the costs using calculate_infrastructure_overhead and estimate the gains using estimate_billing_accuracy_gain and evaluate_fraud_mitigation_value.
- 06
How do I calculate the cost of my metering setup?
You can use the calculate_infrastructure_overhead capability, providing the granularity level, expected storage volume, and real-time processing intensity.
- 07
Can this capability help reduce revenue leakage?
Yes, the estimate_billing_accuracy_gain capability calculates the potential financial value of improving precision to capture unmetered usage.
- 08
How is the ROI calculated?
The analyze_economic_efficiency capability calculates ROI by comparing the net economic benefit (accuracy gains plus fraud savings) against the infrastructure cost.
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Connect Usage Metering Analytics to Claude, Cursor, ChatGPT & more
