Does this MCP calculate the cost of my AI models?

No. This MCP focuses on the cost of observability itself, modeling expenditures based on log volume, complexity, and the value of improving incident response time.

What does MTTR stand for in this context?

MTTR stands for Mean Time To Recovery. The MCP calculates the financial savings you achieve when your team can fix and recover from incidents faster.

Can I use this with my existing cloud provider's monitoring capabilities?

Yes. You input your existing operational metrics, like log volume and current MTTR, to model the financial impact of your current setup and potential improvements.

Is this capability just for big companies?

No. It works for any application where monitoring costs are a factor. It helps you prove the ROI, regardless of company size.

How is the monthly cost calculated?

The cost is determined by the calculate_monthly_investment capability, which factors in your logging volume in GB, the tracing sample rate, and the chosen alerting complexity tier.

Can I calculate the ROI of my monitoring capabilities?

Yes, by using compare_cost_vs_value after running the investment and MTTR value calculations, you can see the net annual benefit and ROI ratio.

What are coverage gaps?

Coverage gaps are identified via identify_coverage_gaps when essential metrics are missing or when the sampling rate is too low to reliably catch errors.

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Connect AI App Observability Cost Calculator 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 technical monitoring needs into clear financial ROI.

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.

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.

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 AI App Observability Cost.

01
Calculate monthly investment
Determines the total projected monthly expenditure for an observability stack
02
Compare cost vs value
Provides a high-level summary comparing the cost of the observability capabilities against the financial value of the MTTR improvements
03
Estimate mttr value
Calculates the estimated financial savings resulting from improved incident response capabilities
04
Identify coverage gaps
Detects missing observability components that could lead to operational blind spots

Real work

What teams actually run

Just finished a major deployment

You run the MCP to check for coverage gaps, ensuring you haven't left any critical monitoring components out after the release.

Budgeting for next quarter

You use the monthly investment capability to project how much log volume and complexity will cost when scaling up.

Pitching observability capabilities to execs

You use the MTTR value capability to show executives that reducing downtime saves the company millions.

Reviewing platform reliability

You use the cost vs. value capability to prove that the investment in better monitoring pays for itself quickly.

One connector, every AI

AI App Observability Cost 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 AI App Observability Cost 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

845ms average. Fast in production.

AI App Observability Cost is checked daily against the live service.

Daily averagePeak 1310ms

Oct 3Today

Fastest day: 622ms
Slowest day: 1310ms
14-day trend: Slowing+32%

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 App Observability Cost, so you can see the experience inside your AI.

It does not authenticate your account with AI App Observability Cost. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI App Observability Cost Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_YlmOhKqr8ZyUZaoIUisdHuLuS9AAuBzF39jIGjEd/mcp

Claude 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 App Observability Cost capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "ai-app-observability-cost-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_YlmOhKqr8ZyUZaoIUisdHuLuS9AAuBzF39jIGjEd/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 App Observability Cost in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI App Observability Cost owners hand off.

This MCP is built for technical leaders and financial operations teams. If you're responsible for cloud spending, platform reliability, or proving the ROI of your engineering capabilities, this is for you. It translates complex telemetry data into clear financial decisions.

01
FinOps Engineer
Use it to model cloud spending and justify observability investments to finance teams.
02
CTO / VP of Engineering
Use it to prove the business value of improving platform reliability and reducing downtime.
03
Product Manager
Use it to assess the risk associated with new features or services before they go live.

FAQ

Questions AI App Observability Cost owners ask.

01
Does this MCP calculate the cost of my AI models?
No. This MCP focuses on the cost of observability itself, modeling expenditures based on log volume, complexity, and the value of improving incident response time.
02
What does MTTR stand for in this context?
MTTR stands for Mean Time To Recovery. The MCP calculates the financial savings you achieve when your team can fix and recover from incidents faster.
03
Can I use this with my existing cloud provider's monitoring capabilities?
Yes. You input your existing operational metrics, like log volume and current MTTR, to model the financial impact of your current setup and potential improvements.
04
Is this capability just for big companies?
No. It works for any application where monitoring costs are a factor. It helps you prove the ROI, regardless of company size.
05
How is the monthly cost calculated?
The cost is determined by the calculate_monthly_investment capability, which factors in your logging volume in GB, the tracing sample rate, and the chosen alerting complexity tier.
06
Can I calculate the ROI of my monitoring capabilities?
Yes, by using compare_cost_vs_value after running the investment and MTTR value calculations, you can see the net annual benefit and ROI ratio.
07
What are coverage gaps?
Coverage gaps are identified via identify_coverage_gaps when essential metrics are missing or when the sampling rate is too low to reliably catch errors.

Explore

More in Finance

Connect AI App Observability Cost to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Calculate monthly investment

Compare cost vs value

Estimate mttr value

Identify coverage gaps

What teams actually run

Just finished a major deployment

Budgeting for next quarter

Pitching observability capabilities to execs

Reviewing platform reliability

Building your own app? The connector is yours to use.

AI App Observability Cost Connector

Claude Desktop

FinOps Engineer

CTO / VP of Engineering

Product Manager

Does this MCP calculate the cost of my AI models?

What does MTTR stand for in this context?

Can I use this with my existing cloud provider's monitoring capabilities?

Is this capability just for big companies?

How is the monthly cost calculated?

Can I calculate the ROI of my monitoring capabilities?

What are coverage gaps?

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