An astronaut overseeing a futuristic data hub

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.

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
V8 Isolate01

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.

Kill Switch02

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.

FinOps per User03

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.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Deployment Economics.

  1. 01

    Analyze improvement priorities

    This capability identifies which specific pipeline lever will provide the highest economic gain if you fix it.

  2. 02

    Evaluate risk exposure

    Use this to determine your operational risk level by looking at how volatile your deployments are.

  3. 03

    Get deployment economics

    This capability calculates your core financial and efficiency metrics based on a specific deployment profile.

  4. 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

01

Budget Justification

Show leadership the exact cost savings expected from investing in better CI/CD automation.

02

Risk Management

Identify if your current deployment frequency is creating too much operational volatility.

03

Process Optimization

Find out if reducing lead time or reducing failure rates will save more money.

04

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.

Building 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.

Daily averagePeak 1027ms
Oct 3Today
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.

Connector linkhttps://edge.vinkius.com/vk_preview_KPwjUG075ZEPOokMEWPXoxz2fqG3ASA9ACTXhq3h/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Deployment Economics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "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

See all the AI clients this connector works with ↑

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.

Connect Deployment Economics to Claude, Cursor, ChatGPT & more