Use Revenue Predictability Engine with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Analyzes revenue stability and predictability using recurring revenue and contract metrics.
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 Revenue Predictability Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Revenue Predictability Engine.
01-04
4 capabilities in this set.
Part of 4 available through Revenue Predictability Engine.
- 01
Analyze concentration risk
Quantifies the danger of revenue loss due to reliance on a few major clients
- 02
Assess revenue visibility
Evaluates how much future revenue is locked in based on current contract commitments
- 03
Calculate predictability score
Generates a final reliability score for the business's revenue stream
- 04
Calculate revenue composition
Determines the basic breakdown of revenue between recurring and transactional streams
One connector, every AI
Revenue Predictability Engine 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Revenue Predictability Engine 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
1054ms average. Fast in production.
Revenue Predictability Engine is checked daily against the live service.
- Fastest day
- 1054ms
- Slowest day
- 1054ms
- 14-day trend
- Stable0%
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 Revenue Predictability Engine, so you can see the experience inside your AI.
It does not authenticate your account with Revenue Predictability Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Revenue Predictability Engine Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_1fYdXBFAkpMGqhLvsvVOVv7BTWsWZzDTI6sgASou/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 — Revenue Predictability Engine capabilities are ready to use.
{
"mcpServers": {
"revenue-predictability-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_1fYdXBFAkpMGqhLvsvVOVv7BTWsWZzDTI6sgASou/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? link.label
FAQ
Questions Revenue Predictability Engine owners ask.
- 01
What metrics does this server calculate?
The server calculates recurring revenue percentage, revenue visibility based on contract lengths, concentration risk, and a final predictability score.
- 02
How is revenue visibility determined?
Revenue visibility is determined by analyzing the duration of active contracts through the assess_revenue_visibility capability.
- 03
Can I assess the risk of losing a major client?
Yes, you can use analyze_concentration_risk to quantify the danger of revenue loss due to reliance on a few major customers.
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