An astronaut overseeing a futuristic data hub

Connect Startup Employee Retention Analytics to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Track workforce stability and predict turnover risks using your AI agent.

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Startup Retention Engine.

  1. 01

    Estimate equity risk

    This capability predicts potential turnover by looking at how close employees are to their next vesting milestones.

  2. 02

    Get workforce stability report

    This capability creates a high-level assessment by combining metrics, tenure data, and market factors.

  3. 03

    Calculate retention metrics

    This capability provides core workforce health indicators like retention and turnover rates for specific timeframes.

  4. 04

    Analyze tenure distribution

    This capability evaluates where churn is most concentrated within your employee lifecycle.

Real work

What teams actually run

01

Vesting Risk Management

Predict which employees might leave after hitting their next equity milestone.

02

Churn Pattern Detection

Find out if employees are leaving too early in their tenure.

03

Headcount Planning

Use retention and turnover rates to project future hiring needs.

04

Stability Audits

Generate high-level reports to check how market volatility affects your team.

One connector, every AI

Startup Retention 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.

Building your own app? The connector is yours to use.

You don't need a client to put Startup Retention 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

951ms average. Fast in production.

Startup Retention Engine is checked daily against the live service.

Daily averagePeak 1233ms
Oct 3Today
Fastest day
749ms
Slowest day
1233ms
14-day trend
Stable-4%

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 Retention Engine, so you can see the experience inside your AI.

It does not authenticate your account with Startup Retention Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Startup Retention Engine Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_TLtGGDPi6SLIP7bbqcuumQbYPyidQms1ARkJ8hQC/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Startup Retention Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "startup-employee-retention-analytics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_TLtGGDPi6SLIP7bbqcuumQbYPyidQms1ARkJ8hQC/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? Set up Startup Retention Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Startup Retention Engine owners hand off.

This MCP is built for startup leaders who need to manage headcount and equity-driven churn without manual data crunching.

  • 01

    HR Managers

    They use the AI to monitor turnover trends and employee lifecycle health.

  • 02

    Startup Founders

    They use the AI to assess workforce stability and equity-related risks.

  • 03

    People Ops

    They use the AI to generate stability reports and analyze tenure distribution.

FAQ

Questions Startup Retention Engine owners ask.

  • 01

    How does the equity risk prediction work?

    The capability looks at how close employees are to their upcoming vesting milestones to estimate the probability of them leaving.

  • 02

    Can I use this with any AI client?

    Yes, you can use this MCP with any compatible client like Claude, Cursor, or Windsurf.

  • 03

    What kind of stability reports can I get?

    The capability generates reports that synthesize metrics, tenure data, and market factors into a single assessment.

  • 04

    Does this MCP handle the data hosting?

    Yes, Vinkius hosts the MCP and manages the connection so it is ready to use immediately.

  • 05

    Can I analyze specific time periods for turnover?

    Yes, you can use the calculation capability to get retention and turnover rates for any period you specify.

  • 06

    How does this capability calculate retention rate?

    The calculate_retention_metrics capability calculates the retention rate as the percentage of the starting headcount that remained at the end of the period.

  • 07

    Can I predict turnover based on equity vesting?

    Yes, the estimate_equity_risk capability predicts potential turnover by analyzing how close employees are to their vesting milestones and factoring in market volatility.

  • 08

    What is included in the stability report?

    The get_workforce_stability_report capability synthesizes retention rates, turnover rates, and current market conditions into a single stability score and summary.

Connect Startup Retention Engine to Claude, Cursor, ChatGPT & more