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Connect AI Feature ROI Analyzer to ChatGPT and Claude

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. Know exactly if your AI features make money for your business.

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 AI Feature ROI Analyzer.

  1. 01

    Analyze pricing opportunity

    Determine if current pricing for an AI feature is sustainable

  2. 02

    Calculate segment roi variance

    Analyze impact of user behavior and cost variability on segment profitability

  3. 03

    Get user roi metrics

    Calculate specific ROI and efficiency for a single user or user profile

  4. 04

    Simulate usage impact

    Simulate margin changes based on hypothetical usage levels

Real work

What teams actually run

01

Launching a New AI Feature

Before launch, run a simulation to predict how a new feature's cost will impact your overall margin.

02

Reviewing Pricing Tiers

Use this MCP to test if your current subscription pricing is sustainable when AI costs increase.

03

Identifying High-Risk Users

Analyze user segments to find groups whose behavior makes them disproportionately costly to maintain.

04

Forecasting Usage Spikes

Model the financial impact of a predicted usage increase, like a viral marketing campaign.

One connector, every AI

AI Feature ROI Analyzer 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put AI Feature ROI Analyzer 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

868ms average. Fast in production.

AI Feature ROI Analyzer is checked daily against the live service.

Daily averagePeak 1107ms
Oct 3Today
Fastest day
670ms
Slowest day
1107ms
14-day trend
Slowing+20%

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 Feature ROI Analyzer, so you can see the experience inside your AI.

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

AI Feature ROI Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_XTenF67JzDCngSgPVVA86gmLy5cU3E2qq88Xa6lU/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 — AI Feature ROI Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-feature-roi-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XTenF67JzDCngSgPVVA86gmLy5cU3E2qq88Xa6lU/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 Feature ROI Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Feature ROI Analyzer owners hand off.

This MCP is built for Product Managers, Finance Directors, and SaaS founders. If your job involves justifying feature costs or setting pricing tiers, this capability gives you the hard data you need. It moves the conversation from 'it feels expensive' to 'the numbers show it's unsustainable.'

  • 01

    Product Manager

    Determines if a new AI feature adds measurable value that justifies its cost.

  • 02

    Finance Director

    Calculates overall profitability and identifies cost-saving opportunities across user segments.

  • 03

    SaaS Founder

    Sets pricing strategies and understands the financial limits of growth.

FAQ

Questions AI Feature ROI Analyzer owners ask.

  • 01

    Does this MCP only work for large companies?

    No. This MCP is designed for any SaaS provider who needs to track the financial efficiency of their AI features. It works by analyzing specific usage data, regardless of your company size.

  • 02

    Can I check profitability for different user groups?

    Yes. You can use the MCP to analyze segment profitability variance. This helps you understand if certain user cohorts are creating disproportionate financial risk.

  • 03

    What kind of data do I need to provide?

    You need to provide core financial metrics, including the subscription price, the cost of the AI feature, the value the user receives, and the usage frequency.

  • 04

    Is this better than a standard spreadsheet calculation?

    It's faster and more dynamic. Instead of manually updating formulas, you ask your AI client to run the analysis, letting the MCP handle the complex calculations and recommendations instantly.

  • 05

    Can I predict what happens if usage goes up?

    Absolutely. The MCP includes a capability to simulate usage impact, allowing you to predict how margin changes when usage increases or decreases.

  • 06

    How do I calculate the ROI for a specific user?

    You can use the get_user_roi_metrics capability by providing the subscription cost, AI feature cost, value delivered, and usage frequency.

  • 07

    Can I predict how increased usage will affect my margins?

    Yes, the simulate_usage_impact capability allows you to model how changes in usage frequency will impact your projected ROI and margins.

  • 08

    How does this capability help with pricing strategy?

    The analyze_pricing_opportunity capability provides specific recommendations such as 'Maintain', 'Increase Price', or 'Optimize Feature' based on your cost and value data.

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