Watt Efficiency Prover Connector for AI agents.
1 live capability
Prove your process improvements with engineering-grade waste analysis and ROI metrics.
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Why people use Watt Efficiency Prover
Watt Efficiency Prover for Engineering-Grade Process Audits
This Connector forces your agent to stop the guesswork. It demands a specific resource waste point, a measurement method, and a quantified ROI. You get a roadmap that proves the bottleneck is actually being addressed.
What Vinkius changes
That your agent stops guessing and starts engineering real, measurable improvements.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Order fulfillment delays
Identifying that a 340-minute delay is actually caused by a manual checklist, not the packing speed, using `validate_watt_efficiency`.
- Real-world use case 02
Manufacturing output
Proving that a new conveyor layout actually increases output per hour rather than just moving the pile of items.
- Real-world use case 03
Customer support triage
Measuring if a new triage system actually reduces wait time or just moves the queue to a different department.
Complete set · 1capability
The complete Watt Efficiency Prover capability set.
These are the exact actions your AI can choose when you ask it to work with Watt Efficiency Prover.
01
1 capability in this set.
Part of 1 available through Watt Efficiency Prover.
- 01 Capability
Validate watt efficiency
Forces the AI to measure inputs, identify waste, and quantify the ROI of any proposed process change. It ensures every optimization is backed by data rather than just feeling faster.
Set up in minutes
One URL. Then ask Watt Efficiency Prover to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Watt Efficiency Prover 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_a8fZDlKX5lAlz9O8QSb4spF6Ja0s2cXiffgJMyLa/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 Watt Efficiency Prover, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Watt Efficiency Prover for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_a8fZDlKX5lAlz9O8QSb4spF6Ja0s2cXiffgJMyLa/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 Watt Efficiency Prover URL.
- Step 03
Save and start
Save the connection and enable Watt Efficiency Prover in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"watt-efficiency-prover": {
"url": "https://edge.vinkius.com/vk_preview_a8fZDlKX5lAlz9O8QSb4spF6Ja0s2cXiffgJMyLa/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 Watt Efficiency Prover
Open Agent mode in chat and ask: "Using Watt Efficiency Prover, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"watt-efficiency-prover": {
"url": "https://edge.vinkius.com/vk_preview_a8fZDlKX5lAlz9O8QSb4spF6Ja0s2cXiffgJMyLa/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 Watt Efficiency Prover
Ask Copilot: "Using Watt Efficiency Prover, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"watt-efficiency-prover": {
"url": "https://edge.vinkius.com/vk_preview_a8fZDlKX5lAlz9O8QSb4spF6Ja0s2cXiffgJMyLa/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 Watt Efficiency Prover
Open Cascade and ask: "Using Watt Efficiency Prover, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"watt-efficiency-prover": {
"url": "https://edge.vinkius.com/vk_preview_a8fZDlKX5lAlz9O8QSb4spF6Ja0s2cXiffgJMyLa/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 Watt Efficiency Prover
Ask Cline: "Using Watt Efficiency Prover, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add watt-efficiency-prover --transport http "https://edge.vinkius.com/vk_preview_a8fZDlKX5lAlz9O8QSb4spF6Ja0s2cXiffgJMyLa/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 Watt Efficiency Prover
Ask Claude: "Using Watt Efficiency Prover, show me...". 1 tools are ready
Where the request belongs
Work Watt Efficiency Prover can move forward.
This is for the operations engineer who's tired of clicking through dashboards at 2am trying to find a bottleneck. It's for logistics managers with messy fulfillment paths, manufacturing leads looking for hard ROI on new tech, and project managers who need to justify every process change to a skeptical boss.
Operations Engineer
Uses this to audit complex production lines and find the exact point of energy or time loss.
Logistics Manager
Identifies where fulfillment delays occur and calculates the ROI of new distribution methods.
Manufacturing Lead
Proves that new machinery or layouts actually increase output per hour with hard data.
Performance Analyst
Quantifies process improvements to present to stakeholders as a clear before-and-after report.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsCurie Measurement Prover
A team shipped a 'significant performance improvement.' Workflow, supplier, automation, and schedule all changed at once. Processing time dropped. but nobody knew which change helped most. The automation alone accounted for 89% of the gain. The supplier switch introduced a defect that surfaced 72 hours later. Curie processed 8 tons of pitchblende to isolate 0.1 grams of radium. ONE element at a time. This capability forces that discipline: measure with numbers, isolate variables, validate across environments, persist through investigation, and quantify risks.
Edison Experimentation Prover
A team chose paper filing because 'best practice.' No pilot. No alternatives tested. 8 months later, 14,000 submissions/day. 47 hours behind on retrieval. Emergency migration under pressure. Cost: 3x the estimate, 6 weeks frozen. Edison tested 3,000+ filament materials before carbonized bamboo. he did not pick the 'obvious choice.' This capability forces experimentation: test alternatives with measured criteria, iterate beyond the first solution, build the ecosystem, prove viability under real conditions, and document dead ends.
Brunel Engineering Prover
A warehouse system hit 3x its tested throughput on a Tuesday morning. Sorting stations jammed in 12 minutes. 4 hours of standstill. $180K in delayed shipments. The operations manual said 'should handle expected growth.' Nobody tested what 'expected' meant. or when it stopped being true. Brunel specified Box Tunnel's gradient to exactly 1 in 100. Every brick course counted. This capability forces that rigor: analyze what breaks at 10x/100x, map integration interfaces, specify exact tolerances, quantify risks with probability and blast radius, and challenge precedent at your scale.
Incident Postmortem Prover
Most postmortems fail: vague timelines, symptom-level root causes, and action items with no owner. This capability forces SRE-grade rigor: minute-by-minute timeline reconstruction, systemic 5-Whys analysis, root cause isolation, accountable action items with owners and deadlines, and historical pattern detection.
Standby Energy Waste Calculator
Calculate the energy waste, financial cost, and carbon footprint of electronics in standby mode.
Bezos Flywheel Prover
A startup benchmarked against 5 competitors instead of talking to a single customer. It proposed standalone initiatives instead of a flywheel. It built an end-user product instead of infrastructure. It formed a committee instead of a two-pizza team. It optimized for this quarter instead of a 7-year thesis. That is not strategy. that is a project list. This capability forces five Bezos-level axes: customer obsession, flywheel design, infrastructure-first, Day 1 culture, and long-term compounding.
Bring your own AI
Change the model, client or framework. Keep Watt Efficiency Prover 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 Watt Efficiency Prover.
The practical details behind the request, access and result.
How does Watt Efficiency Prover help my team?
It forces your AI agent to provide data-backed process improvements instead of vague suggestions. It ensures every change is measured against a baseline and includes a calculated ROI.
Can it identify bottlenecks in my logistics chain?
Yes, it maps your process to find the single constraint that limits speed. It helps you see if a delay is caused by a specific step or a hidden bottleneck elsewhere.
Does it help with ROI calculations?
It does by quantifying the cost of change, including training and downtime, against the projected efficiency gains of a new process or capability.
How does it prevent quality drops during optimization?
It requires the AI to measure quality metrics before and after any change. This ensures that your process doesn't just get faster at the expense of errors or customer satisfaction.
What is the Waste Taxonomy it uses?
It categorizes waste into four specific types: Wait (idle time), Duplication (repeated work), Overproduction (excess output), and Defects (rework).
Can it help me design automatic feedback loops?
Yes, it helps you design systems that auto-adjust based on specific signals and thresholds, including damping mechanisms to prevent the system from over-correcting.
Is this only for operations performance?
No. Watt's method applies to any system where resources are consumed and efficiency matters. manufacturing throughput, service delivery speed, administrative processing time, supply chain turnaround, team productivity, budget utilization, equipment uptime. The 5 pivots. waste identification, measurement, feedback, bottleneck isolation, quantification. work wherever you can measure input vs. useful output.
What counts as a valid feedback loop?
Four elements: (1) a SIGNAL. a metric that indicates drift (cycle time rising, defect rate climbing, queue growing), (2) a THRESHOLD. a specific value that triggers action (cycle time > 200 minutes for 3 consecutive batches), (3) an AUTOMATIC ACTION. something that happens without human intervention (reallocate resources, activate backup capacity, redistribute workload), (4) DAMPING. a mechanism to prevent oscillation (cooldown period, gradual scaling, minimum stable period before further changes). 'We check reports' is monitoring. Watt's centrifugal governor is a feedback loop. it adjusts without an engineer.
How does it differ from the Brunel Engineering Prover?
Brunel validates engineering at SCALE. what breaks at 10x/100x, integration contracts, specification tolerances, risk quantification, precedent challenge. Watt validates EFFICIENCY. where waste occurs, measurement instrumentation, feedback control, bottleneck isolation, quantified improvement. Brunel asks 'will this survive growing 10x?' Watt asks 'where is 80% of your resources being wasted right now, and can you prove the optimization worked?' Use Brunel for scale planning, Watt for performance tuning.
One connection away
Give your agent a direct line to Watt Efficiency Prover.
Connect Watt Efficiency Prover once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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