Use AI Talent Retention Economics with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Turn talent attrition risks into clear financial data.
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.
Complete set · 4 capabilities
The complete AI Talent Retention Economics capability set.
These are the exact actions your AI can choose when you ask it to work with AI Talent Retention Economics.
01-04
4 capabilities in this set.
Part of 4 available through AI Talent Retention Economics.
- 01
Calculate departure impact
This capability estimates the total economic loss triggered by the departure of a key individual.
- 02
Calculate retention investment
Use this to find the total financial outlay needed to secure a specific AI professional's commitment.
- 03
Evaluate retention efficiency
This capability compares the cost of keeping talent against the cost of losing them to find the ROI.
- 04
Generate talent risk profile
This capability summarizes the risk and cost landscape for a specific segment of your talent pool.
One connector, every AI
AI Talent Retention Economics 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 AI Talent Retention Economics 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
826ms average. Fast in production.
AI Talent Retention Economics is checked daily against the live service.
- Fastest day
- 826ms
- Slowest day
- 826ms
- 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 AI Talent Retention Economics, so you can see the experience inside your AI.
It does not authenticate your account with AI Talent Retention Economics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AI Talent Retention Economics Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_O9EtaTMbNr43Zyztn2ZO3EQ3ei9sUkKAZfXdcb36/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 Talent Retention Economics capabilities are ready to use.
{
"mcpServers": {
"ai-talent-retention-economics-mcp": {
"url": "https://edge.vinkius.com/vk_preview_O9EtaTMbNr43Zyztn2ZO3EQ3ei9sUkKAZfXdcb36/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 AI Talent Retention Economics
Who it's for
Built for the work AI Talent Retention Economics owners hand off.
This MCP is built for leaders who need to justify talent spend with hard data. It bridges the gap between HR sentiment and financial reality.
- 01
Engineering Managers
They use it to build budget requests for keeping their core technical teams intact.
- 02
HR Business Partners
They use it to quantify the impact of turnover on the bottom line.
- 03
Finance Directors
They use it to evaluate the ROI of talent retention programs.
FAQ
Questions AI Talent Retention Economics owners ask.
- 01
What can this MCP calculate?
It calculates retention investment costs, departure impact, retention ROI, and talent risk profiles.
- 02
How does it determine retention efficiency?
It compares the cost of keeping a person against the economic loss of them leaving to find the ROI.
- 03
Can I use this with Claude or Cursor?
Yes, it works with any MCP-compatible client including Claude, Cursor, and Windsurf.
- 04
Does it account for IP risk?
Yes, the departure impact capability can incorporate IP risk multipliers to estimate total loss.
- 05
Is this for HR or Engineering?
It is for anyone managing the economics of technical talent, including engineering leads and finance professionals.
- 06
How do I calculate the cost of losing an AI engineer?
You can use the calculate_departure_impact capability. It factors in the base salary, market premium, recruitment costs, and the specific risk of IP loss.
- 07
Can I determine if a retention bonus is worth the cost?
Yes, by using evaluate_retention_efficiency, you can calculate the Return on Investment (ROI) by comparing the expected loss mitigation against the retention investment.
- 08
What is included in the departure cost calculation?
The total departure cost includes the replacement cost (recruitment and onboarding) and the IP risk cost, which accounts for potential intellectual property loss or non-compete breaches.
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