Does this MCP only calculate costs?

No. While it handles Total Cost of Ownership (TCO) comparisons, it also evaluates non-financial factors. It assesses strategic fit based on performance gaps and vendor lock-in risk.

What kind of data do I need to provide?

You need to provide specific financial inputs, such as initial development costs, ongoing maintenance fees, and the per-request cost of the third-party API.

Can I use this to compare costs over multiple years?

Yes. The MCP is designed to run comparisons over a specified period, allowing you to model costs and find the break-even point over time.

Is the output just a list of numbers?

No. You can use the dedicated summary capability to aggregate all the calculations into a single, executive-ready decision report.

How does the TCO comparison work?

The calculate_tco_comparison_tool sums the initial development costs and ongoing maintenance for the 'Build' path, then compares it against the cumulative usage fees of the 'Buy' path over your specified analysis period.

What is the break-even timeline?

The break-even timeline is the point where the cumulative cost of building a custom model becomes lower than the cumulative cost of using a vendor API. You can find this using estimate_break_even_timeline_tool.

Can I get a final recommendation?

Yes. After running the individual analysis capabilities, use get_decision_summary_tool to aggregate the financial and strategic data into a single executive decision report.

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Connect AI Build Vs Buy Decision Support 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. Get a data-backed decision report for your model strategy.

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 Build vs Buy Model.

01
Evaluate strategic fit tool
Buying based on performance, speed, and risk. Provides a qualitative recommendation based on performance requirements and market urgency
02
Estimate break even timeline tool
Identifies how long it takes for the "Build" option to become more cost-effective than the "Buy" option
03
Get decision summary tool
Aggregates all previous calculations into a single executive decision report
04
Calculate tco comparison tool
Compares the total cost of building vs. buying over a specified period

Real work

What teams actually run

New Feature Launch

You are launching a new recommendation engine. You use this MCP to compare the upfront cost of building it versus the recurring cost of using a specialized API.

Vendor Contract Review

Before signing a major API contract, you use this to model the cost increase over five years and understand the associated vendor lock-in risk.

AI Roadmap Planning

Your team needs to decide which AI capabilities to prioritize. This MCP helps you rank them based on strategic fit and required investment.

Budget Justification

You need to secure funding for a new AI initiative. You use this to generate a clear, data-backed comparison showing the best path forward.

One connector, every AI

AI Build vs Buy Model 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 Build vs Buy Model 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

894ms average. Fast in production.

AI Build vs Buy Model is checked daily against the live service.

Daily averagePeak 1134ms

Oct 3Today

Fastest day: 698ms
Slowest day: 1134ms
14-day trend: Slowing+12%

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 Build vs Buy Model, so you can see the experience inside your AI.

It does not authenticate your account with AI Build vs Buy Model. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Build vs Buy Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_YRoNIdwZnZbwRV2vAJepF5g4sTC2bBkRy92I31PY/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 Build vs Buy Model capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "ai-build-vs-buy-decision-support-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_YRoNIdwZnZbwRV2vAJepF5g4sTC2bBkRy92I31PY/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 Build vs Buy Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Build vs Buy Model owners hand off.

This MCP is essential for Product Managers, CTOs, and Financial Analysts who are responsible for making high-stakes technology investment decisions. It shifts the conversation from gut feeling to quantifiable data, allowing you to justify resource allocation based on clear financial metrics.

01
Product Manager
Uses this to determine if a new feature should be built internally or sourced via a third-party API.
02
CTO
Uses this to assess the long-term technical debt and strategic risk of adopting external AI services.
03
Financial Analyst
Uses this to model and compare the Total Cost of Ownership (TCO) for different AI development paths.

FAQ

Questions AI Build vs Buy Model owners ask.

01
Does this MCP only calculate costs?
No. While it handles Total Cost of Ownership (TCO) comparisons, it also evaluates non-financial factors. It assesses strategic fit based on performance gaps and vendor lock-in risk.
02
What kind of data do I need to provide?
You need to provide specific financial inputs, such as initial development costs, ongoing maintenance fees, and the per-request cost of the third-party API.
03
Can I use this to compare costs over multiple years?
Yes. The MCP is designed to run comparisons over a specified period, allowing you to model costs and find the break-even point over time.
04
Is the output just a list of numbers?
No. You can use the dedicated summary capability to aggregate all the calculations into a single, executive-ready decision report.
05
How does the TCO comparison work?
The calculate_tco_comparison_tool sums the initial development costs and ongoing maintenance for the 'Build' path, then compares it against the cumulative usage fees of the 'Buy' path over your specified analysis period.
06
What is the break-even timeline?
The break-even timeline is the point where the cumulative cost of building a custom model becomes lower than the cumulative cost of using a vendor API. You can find this using estimate_break_even_timeline_tool.
07
Can I get a final recommendation?
Yes. After running the individual analysis capabilities, use get_decision_summary_tool to aggregate the financial and strategic data into a single executive decision report.

Explore

More in Finance

Connect AI Build vs Buy Model 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

Evaluate strategic fit tool

Estimate break even timeline tool

Get decision summary tool

Calculate tco comparison tool

What teams actually run

New Feature Launch

Vendor Contract Review

AI Roadmap Planning

Budget Justification

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

AI Build vs Buy Model Connector

Claude Desktop

Product Manager

CTO

Financial Analyst

Does this MCP only calculate costs?

What kind of data do I need to provide?

Can I use this to compare costs over multiple years?

Is the output just a list of numbers?

How does the TCO comparison work?

What is the break-even timeline?

Can I get a final recommendation?

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