
Connect AI Energy Consumption Scalability Modeler to your AI
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. Plan your data center growth with financial and environmental certainty.
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 AI Energy Scalability.
- 01
Analyze scaling constraints
Identifies if the planned growth will exceed specific infrastructure or environmental thresholds
- 02
Calculate sustainability metrics
Evaluates the environmental impact and green efficiency of the energy scaling plan
- 03
Estimate energy costs
Predicts the financial expenditure required to power the forecasted infrastructure
- 04
Forecast power demand
Determines the total electrical load required at a future date
Real work
What teams actually run
New Facility Planning
Before breaking ground, use this MCP to forecast the total power load and estimate the annual energy costs for the entire facility.
Expansion Feasibility Study
Determine if adding 20% capacity will violate existing carbon emission thresholds or physical infrastructure limits.
Sustainability Reporting
Calculate the carbon footprint of your current power usage and model the reduction achieved by adopting renewable energy sources.
Long-Term Budgeting
Project the financial expenditure required over the next five years to support anticipated AI growth.
One connector, every AI
AI Energy Scalability 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 AI Energy Scalability 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
912ms average. Fast in production.
AI Energy Scalability is checked daily against the live service.
- Fastest day
- 749ms
- Slowest day
- 1011ms
- 14-day trend
- Stable-2%
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 AI Energy Scalability, so you can see the experience inside your AI.
It does not authenticate your account with AI Energy Scalability. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AI Energy Scalability Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_0hVl5ZBGEXDyp6Pwzhyu6Nvuv4Sk4oREbQpBstSf/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 — AI Energy Scalability capabilities are ready to use.
{
"mcpServers": {
"ai-energy-consumption-scalability-modeler-mcp": {
"url": "https://edge.vinkius.com/vk_preview_0hVl5ZBGEXDyp6Pwzhyu6Nvuv4Sk4oREbQpBstSf/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 AI Energy Scalability in Claude and other AIs
Who it's for
Built for the work AI Energy Scalability owners hand off.
This MCP is essential for infrastructure architects, data center managers, and sustainability officers. If your job involves planning large-scale AI expansion, you need to model the power, the money, and the planet's impact before breaking ground. Your AI client handles the complex calculations, giving you clear, actionable data.
- 01
Data Center Manager
Needs to forecast power demand and check physical capacity limits for expansion.
- 02
Sustainability Officer
Calculates environmental impact and verifies adherence to carbon emission thresholds.
- 03
Infrastructure Architect
Models the total electrical load and ensures the scaling plan is technically feasible.
- 04
Financial Planner
Predicts the total energy costs associated with future infrastructure build-outs.
FAQ
Questions AI Energy Scalability owners ask.
- 01
Does this MCP only calculate power usage?
No. It does much more than just power usage. It estimates financial costs, calculates environmental metrics, and checks against physical and carbon constraints.
- 02
What kind of data do I need to provide?
You need core metrics like current power load (MW), projected growth rates, and operational parameters like PUE or carbon intensity.
- 03
Can I use this for multiple time periods?
Yes. You can forecast power demand for future dates, allowing you to model growth over several years.
- 04
Is this capability only for large data centers?
It's designed for infrastructure scaling. It helps any operation that needs to model significant, planned growth in power consumption.
- 05
What does 'PUE' mean in this context?
PUE stands for Power Usage Effectiveness. It's a metric used to measure how efficiently a data center uses power, which is critical for accurate cost and sustainability modeling.
- 06
How does this capability account for data center efficiency?
The forecast_power_demand capability uses the Power Usage Effectiveness (PUE) ratio to calculate the total facility load, including the overhead required for cooling and power distribution.
- 07
Can I check if my growth plan violates carbon limits?
Yes, you can use analyze_scaling_constraints to check if your projected growth will exceed your maximum allowable carbon threshold or physical power capacity.
- 08
What metrics are provided for environmental impact?
The calculate_sustainability_metrics capability provides a sustainability score and the total carbon footprint in tonnes based on renewable energy availability and carbon intensity.
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Connect AI Energy Scalability to Claude, Cursor, ChatGPT & more
