Make your AI work with AI Expansion Analyzer
Connect your account once and let the AI you already use work with it, without building another integration or switching to a different AI. Quantifying SaaS Expansion Revenue and Upsell Conversion Metrics
4 live capabilities. One account. Your AI. Real work.
- Step 01
Connect
Link your account through Vinkius.
- Step 02
Authorize
You decide what your AI can access.
- Step 03
Pick your AI
Use it with the AI application you already use.
- Step 04
Get things done
Ask your AI to work with your connected account.
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Works with
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Why people use AI Expansion Analyzer
AI Feature Expansion Impact Analyzer for SaaS Revenue Attribution
With this MCP, you feed the data and get the answer. It automatically runs the attribution models, telling you exactly how much of the expansion revenue came from Feature X versus Feature Y. You get a clean, defensible metric that finance teams actually trust.
What Vinkius changes
That you get actionable, quantitative proof of which AI features are driving your business growth.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 7,300+ Connectors
- Real-world use case 01
Justifying the AI Budget to Leadership
The VP of Product needs to justify the $2M AI investment.
- Real-world use case 02
Optimizing the Pricing Model
The Growth team suspects a specific AI feature is driving upgrades.
- Real-world use case 03
Post-Launch Feature Accountability
A new feature launched, but the finance team needs to know which part of the revenue stream it belongs to.
Complete set · 4capabilities
The complete AI Expansion Analyzer capability set.
These are the exact actions your AI can choose when you ask it to work with AI Expansion Analyzer.
01—04
4 capabilities in this set.
Part of 4 available through AI Expansion Analyzer.
- 01 Capability
Analyze upsell conversion
Measures how many users are upgrading their subscription tiers because they started using AI features.
- 02 Capability
Attribute ai revenue
Distributes total expansion revenue across specific AI features based on how much the user actually used them.
- 03 Capability
Calculate expansion lift
Determines the percentage increase in revenue that AI features provide compared to the baseline revenue.
- 04 Capability
Evaluate feature impact summary
Gives a quick, high-level overview of how every AI feature is contributing to the overall customer base health.
Set up in minutes
One URL. Then ask AI Expansion Analyzer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use AI Expansion Analyzer from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Wt2UfwoXpA1LwfRdp2P7xlSpAX9tV9ZULB3Pl4HK/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it AI Expansion Analyzer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable AI Expansion Analyzer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Wt2UfwoXpA1LwfRdp2P7xlSpAX9tV9ZULB3Pl4HK/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the AI Expansion Analyzer URL.
- Step 03
Save and start
Save the connection and enable AI Expansion Analyzer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"ai-feature-expansion-impact-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_Wt2UfwoXpA1LwfRdp2P7xlSpAX9tV9ZULB3Pl4HK/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using AI Expansion Analyzer
Open Agent mode in chat and ask: "Using AI Expansion Analyzer, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"ai-feature-expansion-impact-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_Wt2UfwoXpA1LwfRdp2P7xlSpAX9tV9ZULB3Pl4HK/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using AI Expansion Analyzer
Ask Copilot: "Using AI Expansion Analyzer, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"ai-feature-expansion-impact-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_Wt2UfwoXpA1LwfRdp2P7xlSpAX9tV9ZULB3Pl4HK/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using AI Expansion Analyzer
Open Cascade and ask: "Using AI Expansion Analyzer, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"ai-feature-expansion-impact-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_Wt2UfwoXpA1LwfRdp2P7xlSpAX9tV9ZULB3Pl4HK/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using AI Expansion Analyzer
Ask Cline: "Using AI Expansion Analyzer, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add ai-feature-expansion-impact-analyzer --transport http "https://edge.vinkius.com/vk_preview_Wt2UfwoXpA1LwfRdp2P7xlSpAX9tV9ZULB3Pl4HK/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using AI Expansion Analyzer
Ask Claude: "Using AI Expansion Analyzer, show me...". 4 tools are ready
Where the request belongs
Work AI Expansion Analyzer can move forward.
Product Managers and Finance Analysts need this. If you're tired of presenting vague slides about 'potential growth' and need to show the CFO exactly how much revenue a new AI feature is worth, this MCP is for you. It turns product hypotheses into financial metrics.
Product Manager
Uses the MCP to determine which AI features should get prioritized for development based on measurable revenue impact.
Finance Analyst
Runs reports to accurately attribute expansion revenue to specific product lines or AI features for quarterly budgeting and reporting.
Head of Growth
Checks the overall health of AI adoption across the user base to prove the ROI of the entire product strategy.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
AI Feature Retention Analyzer
Quantify the impact of AI features on user retention and ROI.
AI Feature Upsell Correlation
Quantify the impact of AI features on subscription upgrades.
AI SaaS Feature Churn Correlation
Quantify the impact of AI features on customer retention and calculate prevented churn revenue.
AI Engagement Scoring
Analyze AI feature engagement, adoption rates, and churn risk.
AI Feature Value Realization
Quantify the time to value and adoption efficiency of your AI features.
AI Model Usage Analytics
Analyze AI model cost distribution and usage concentration across product features.
Bring your own AI
Change the model, client or framework. Keep AI Expansion Analyzer connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about AI Expansion Analyzer.
The practical details behind the request, access and result.
How do I prove that AI features are actually increasing my revenue?
You use the AI Feature Expansion Impact Analyzer to calculate the expansion lift. It compares revenue from AI users against non-AI users, giving you a clear percentage of growth that proves the feature's financial value. This moves your conversation from 'potential' to 'proven.'
Can the AI Feature Expansion Impact Analyzer help me with pricing changes?
Yes. By running the upsell conversion analysis, you can pinpoint which specific AI features are most effective at driving users to higher-paying tiers. This data lets you adjust your pricing model with confidence.
What if I need to know which feature is responsible for a specific dollar amount of revenue?
The attribution capability solves this. It distributes expansion revenue to individual AI features based on usage intensity. You get a precise breakdown, allowing you to know exactly where every dollar of growth came from.
Does the AI Feature Expansion Impact Analyzer only look at new users?
No. It analyzes the entire user base, looking at both new and existing customers. It provides a summary of AI contribution across all cohorts, giving you a full picture of your product's health.
Is this MCP better than just using standard BI dashboards?
Yes. Standard dashboards show what happened, but this MCP tells you why it happened. It runs complex, comparative models that link usage behavior directly to financial outcomes, which standard reporting can't do.
How do I calculate the revenue boost from AI features?
You can use the calculate_expansion_lift capability. Provide the total expansion revenue from users who use AI and the revenue from those who do not.
Can I attribute revenue to specific AI capabilities?
Yes, the attribute_ai_revenue capability allows you to distribute expansion revenue to specific features using usage metrics and value perception scores.
How does this help with subscription upgrades?
The analyze_upsell_conversion capability measures the conversion rate of AI users compared to non-AI users to see if AI adoption drives tier upgrades.
One connection away
Give your agent a direct line to AI Expansion Analyzer.
Connect AI Expansion Analyzer once. Keep it beside 7,300+ managed Connectors when the next task needs more.
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