
Connect Deployment Economics Efficiency 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. Turn your delivery pipeline data into hard financial metrics.
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 Deployment Economics.
- 01
Analyze improvement priorities
This capability identifies which specific pipeline lever will provide the highest economic gain if you fix it.
- 02
Evaluate risk exposure
Use this to determine your operational risk level by looking at how volatile your deployments are.
- 03
Get deployment economics
This capability calculates your core financial and efficiency metrics based on a specific deployment profile.
- 04
Simulate automation upgrade
This capability predicts the financial impact and efficiency changes that come from increasing your automation levels.
Real work
What teams actually run
Budget Justification
Show leadership the exact cost savings expected from investing in better CI/CD automation.
Risk Management
Identify if your current deployment frequency is creating too much operational volatility.
Process Optimization
Find out if reducing lead time or reducing failure rates will save more money.
Baseline Benchmarking
Establish a core efficiency score to track how your delivery economics improve over time.
One connector, every AI
Deployment Economics 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 Deployment Economics 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
844ms average. Fast in production.
Deployment Economics is checked daily against the live service.
- Fastest day
- 719ms
- Slowest day
- 1027ms
- 14-day trend
- Slowing+17%
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 Deployment Economics, so you can see the experience inside your AI.
It does not authenticate your account with Deployment Economics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Deployment Economics Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_KPwjUG075ZEPOokMEWPXoxz2fqG3ASA9ACTXhq3h/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 — Deployment Economics capabilities are ready to use.
{
"mcpServers": {
"deployment-economics-efficiency-mcp": {
"url": "https://edge.vinkius.com/vk_preview_KPwjUG075ZEPOokMEWPXoxz2fqG3ASA9ACTXhq3h/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 Deployment Economics in Claude and other AIs
Who it's for
Built for the work Deployment Economics owners hand off.
This MCP is built for engineering leaders who need to connect technical performance to business value.
- 01
DevOps Engineers
Use it to provide data-backed justifications for infrastructure and automation changes.
- 02
Engineering Managers
Hand off deployment data to your agent to get clear reports on team efficiency and cost.
- 03
CTOs
Use the AI to model the long-term economic impact of technical debt and automation investments.
FAQ
Questions Deployment Economics owners ask.
- 01
What can this MCP do for my DevOps team?
It allows your AI agent to calculate deployment costs, assess operational risk, and predict the financial impact of automation upgrades.
- 02
Which AI clients can I use with this MCP?
You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
- 03
How does it help with CI/CD optimization?
It identifies which specific levers, like reducing failure rates or increasing automation, will provide the highest economic gain.
- 04
Do I need to host the MCP myself?
No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.
- 05
Can I use this to predict future costs?
Yes, the simulation capability lets you predict how changing your automation level will impact your deployment costs.
- 06
How is the deployment efficiency score calculated?
The score is a normalized indicator that balances delivery velocity against friction from failures and manual processes. You can use get_deployment_economics to see how automation levels and failure rates impact this score.
- 07
Can I predict the cost savings of moving to fully-automated deployments?
Yes, use the simulate_automation_upgrade capability to project the cost reduction and efficiency gain when moving to a higher automation tier.
- 08
What metrics are included in the risk assessment?
The evaluate_risk_exposure capability provides a risk category, a severity score, and a volatility index based on your deployment frequency, failure rate, and lead time.
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Connect Deployment Economics to Claude, Cursor, ChatGPT & more
