Use Startup Revenue Analyzer with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Calculate revenue per employee, FTE productivity, and contractor reliance 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 Startup Revenue Analyzer capability set.
These are the exact actions your AI can choose when you ask it to work with Startup Revenue Analyzer.
01-04
4 capabilities in this set.
Part of 4 available through Startup Revenue Analyzer.
- 01
Analyze contractor reliance
Evaluates risk and operational profile of contractor usage
- 02
Get departmental efficiency
Analyzes revenue support by functional departments
- 03
Get efficiency benchmarks
Retrieves industry-standard revenue-per-FTE thresholds
- 04
Get workforce productivity
Calculates core productivity metrics for a startup
One connector, every AI
Startup Revenue 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.
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 Startup Revenue 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.
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 Startup Revenue Analyzer, so you can see the experience inside your AI.
It does not authenticate your account with Startup Revenue Analyzer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Startup Revenue Analyzer Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_0ZElAvg9A8sf5gsIkw4SgAKOElnGrU7sEibGOxsE/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 — Startup Revenue Analyzer capabilities are ready to use.
{
"mcpServers": {
"startup-revenue-productivity-analyzer-mcp": {
"url": "https://edge.vinkius.com/vk_preview_0ZElAvg9A8sf5gsIkw4SgAKOElnGrU7sEibGOxsE/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? How to give Claude access to Startup Revenue Analyzer
FAQ
Questions Startup Revenue Analyzer owners ask.
- 01
What is the difference between revenue per employee and revenue per FTE?
Revenue per employee uses the total headcount, while revenue per FTE (Full-Time Equivalent) uses a standardized unit that accounts for the workload intensity of both full-time staff and contractors.
- 02
How does this capability help with contractor management?
You can use analyze_contractor_reliance to evaluate the operational risk and staffing profile of your company based on how much you rely on external contractors.
- 03
Can I compare my startup's efficiency to industry standards?
Yes, the get_efficiency_benchmarks capability provides target, low, and high revenue-per-FTE thresholds for different maturity stages like Seed, Series A, and Series B.
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