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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Accelerator Mentor Match with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Ensure every startup gets the right expertise, every mentor stays balanced.

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 Mentor Match capability set.

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

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Accelerator Mentor Match.

  1. 01

    Calculate utilization rate

    Measures the efficiency of mentor hour allocation to ensure workload balance

  2. 02

    Evaluate match quality

    Provides a granular assessment of how good the specific pairings are based on expertise and stage

  3. 03

    Analyze match coverage

    Determines how effectively the available mentors cover the total skill requirements of the startup cohort

Observed, not estimated

784ms average. Fast in production.

Accelerator Mentor Match is checked daily against the live service.

Daily averagePeak 963ms
Aug 25Today
Fastest day
716ms
Slowest day
963ms
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. 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 Mentor Match, so you can see the experience inside your AI.

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

Accelerator Mentor Match Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_20phNeormGQUqEuEuOZY51qFatUpfRT4rfvGwoNk/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 Mentor Match capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-mentor-match-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_20phNeormGQUqEuEuOZY51qFatUpfRT4rfvGwoNk/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 Mentor Match owners hand off.

This MCP is built for program directors and operational managers running structured accelerator programs. If your job involves matching high-potential startups with specialized industry experts, this capability saves you countless hours of manual analysis. You hand off the complex data crunching to your AI client, getting actionable insights instead of raw numbers.

  • 01

    Program Director

    Determines overall program health by checking if the mentor pool meets the total skill requirements of the cohort.

  • 02

    Operations Manager

    Monitors mentor workload to ensure equitable distribution of time and resources across all participants.

  • 03

    Venture Partner

    Quickly assesses the quality of specific mentor-startup pairings to recommend immediate next steps.

FAQ

Questions Accelerator Mentor Match owners ask.

  • 01

    What kind of data does this MCP need to run?

    The MCP requires data about your startup cohort's skill needs, the available mentors' expertise, and the current engagement levels. You feed this data into your AI client's context.

  • 02

    Is this capability just for large accelerators?

    No. While it handles large cohorts, it works anytime you need to systematically check alignment. You can use it to evaluate any group of mentors against any set of required skills.

  • 03

    Does it tell me which mentors are the best fit?

    Yes, by using the evaluate_match_quality capability, you get a specific score that quantifies how strong the alignment is between a mentor and a startup.

  • 04

    What does 'match coverage' mean?

    Match coverage tells you what percentage of the total skills needed by the startups are currently covered by the expertise of the available mentor pool.

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