Use AI Feature ROI Analyzer with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Know exactly if your AI features make money for your business.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete AI Feature ROI Analyzer capability set.
These are the exact actions your AI can choose when you ask it to work with AI Feature ROI Analyzer.
01-04
4 capabilities in this set.
Part of 4 available through AI Feature ROI Analyzer.
- 01
Analyze pricing opportunity
Determine if current pricing for an AI feature is sustainable
- 02
Calculate segment roi variance
Analyze impact of user behavior and cost variability on segment profitability
- 03
Get user roi metrics
Calculate specific ROI and efficiency for a single user or user profile
- 04
Simulate usage impact
Simulate margin changes based on hypothetical usage levels
Observed, not estimated
872ms average. Fast in production.
AI Feature ROI Analyzer is checked daily against the live service.
- Fastest day
- 803ms
- Slowest day
- 1000ms
- 14-day trend
- Improving-5%
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.
https://edge.vinkius.com/vk_preview_XTenF67JzDCngSgPVVA86gmLy5cU3E2qq88Xa6lU/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 — AI Feature ROI Analyzer capabilities are ready to use.
{
"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
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.
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