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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Accelerator Peer Learning Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Turn raw connections into actionable organizational intelligence.

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 Peer Learning Engine capability set.

These are the exact actions your AI can choose when you ask it to work with Accelerator Peer Learning Engine.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Accelerator Peer Learning Engine.

  1. 01

    Analyze knowledge flow

    This capability evaluates how structured events contribute to the overall network intelligence. It helps you understand the impact of specific workshops or programs on the cohort's collective knowledge base.

  2. 02

    Calculate peer learning metrics

    Use this capability to get a snapshot of the current network's health and connectivity. It provides key metrics that show how connected and dense the startup cohort actually is.

  3. 03

    Estimate collaboration value

    This capability translates network activity into a monetary value. It gives you an estimate of the economic utility derived from the cohort's interactions.

Observed, not estimated

718ms average. Fast in production.

Accelerator Peer Learning Engine is checked daily against the live service.

Daily averagePeak 1054ms
Aug 24Today
Fastest day
655ms
Slowest day
1054ms
14-day trend
Improving-14%

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

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

Accelerator Peer Learning Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_U3JmniJruQZiDpBSxVUcoaax6WjyGyuLzlWRHwUa/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 Peer Learning Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-peer-learning-value-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_U3JmniJruQZiDpBSxVUcoaax6WjyGyuLzlWRHwUa/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 Peer Learning Engine owners hand off.

This MCP is essential for Venture Capitalists, Program Managers, and Startup Consultants. If your job involves measuring the return on investment (ROI) of networking events or accelerator programs, this capability is for you. It gives you the metrics needed to prove the value of the ecosystem.

  • 01

    Venture Capitalist

    Use it to quantify the structural value of a portfolio or cohort before making a follow-on investment.

  • 02

    Accelerator Program Manager

    Use it to prove the effectiveness of your program's events and connections to stakeholders.

  • 03

    Startup Consultant

    Use it to advise clients on how to structure their internal or external networks for maximum economic impact.

FAQ

Questions Accelerator Peer Learning Engine owners ask.

  • 01

    What kind of data does this MCP need to run?

    The MCP requires raw connection data, including details about the companies involved, and parameters like sector overlap and company maturity stages. The more detailed the input, the better the output.

  • 02

    Is this for all types of networks, or just startups?

    It is specialized for startup accelerator networks, but its core function is quantifying peer-to-peer learning and collaboration value within a defined cohort.

  • 03

    Can I tell if the connections are valuable enough for investment?

    Yes. By running the estimate_collaboration_value capability, you get a monetary figure that helps you assess the economic utility of the network's interactions.

  • 04

    Does this MCP just count connections?

    No. It goes far beyond counting. It calculates metrics like network density and analyzes how structured events boost knowledge flow, providing deeper insights.

  • 05

    Do I need to write code to use this MCP?

    No. You interact with this MCP through natural language prompts in your AI client. Your agent handles the capability invocation for you.

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