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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Accelerator Metrics Service with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Pinpoint why cohorts succeed or fail.

Included with plan

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

Complete set · 3 capabilities

The complete Accelerator Metrics Service capability set.

These are the exact actions your AI can choose when you ask it to work with Accelerator Metrics Service.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Accelerator Metrics Service.

  1. 01

    Analyze attrition drivers

    This capability analyzes the primary reasons companies drop out of a specific cohort, giving you insight into why they exit the program.

  2. 02

    Get completion time distribution

    Use this capability to get the full spread of completion times for a cohort, showing you the average and median graduation timelines.

  3. 03

    Get graduation metrics

    This capability provides high-level success and attrition percentages for a specific cohort, giving you an immediate snapshot of program health.

Observed, not estimated

735ms average. Fast in production.

Accelerator Metrics Service is checked daily against the live service.

Daily averagePeak 944ms
Aug 25Today
Fastest day
660ms
Slowest day
944ms
14-day trend
Stable-3%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Accelerator Metrics Service, so you can see the experience inside your AI.

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

Accelerator Metrics Service Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_v5RiOHzHplcpbABx1uMTKTedSHZUAJqsedikFb3r/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 — Accelerator Metrics Service capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-graduation-metrics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_v5RiOHzHplcpbABx1uMTKTedSHZUAJqsedikFb3r/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

Who it's for

Built for the work Accelerator Metrics Service owners hand off.

This MCP is essential for anyone managing or evaluating startup accelerator programs. If you need to prove program value, understand cohort health, or adjust program structure based on hard data, this is for you. It gives you the metrics to talk to investors and founders alike.

  • 01

    Venture Capital Analyst

    Use this to benchmark the performance of portfolio companies and assess the quality of the accelerator pipeline.

  • 02

    Program Manager

    Run analyses to understand where the program is failing—is it the curriculum, or the initial cohort selection?

  • 03

    Educational Researcher

    Gather data on the relationship between program intensity and long-term startup outcomes.

FAQ

Questions Accelerator Metrics Service owners ask.

  • 01

    Does this MCP handle data for multiple cohorts?

    Yes. All the capabilities are designed to accept a specific cohort identifier, allowing you to compare performance across different groups or time periods.

  • 02

    What kind of data does it provide about attrition?

    It doesn't just say companies left. The analyze_attrition_drivers capability identifies the primary reasons for exit, such as poor selection fit or funding issues, giving you actionable data.

  • 03

    Is this better than using a spreadsheet?

    It's faster and more reliable. The MCP handles the complex statistical calculations and distributions instantly, which is difficult to manage manually in a spreadsheet.

  • 04

    Can I find the average completion time?

    Yes. The get_completion_time_distribution capability provides both the average and the median completion time, giving you a much clearer picture of the timeline spread.

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