ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Venture Reference ROI with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Quantify the economic impact and ROI of venture capital reference checks.

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 · 4 capabilities

The complete Venture Reference ROI capability set.

These are the exact actions your AI can choose when you ask it to work with Venture Reference ROI.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Venture Reference ROI.

  1. 01

    Calculate roi per call

    Measures the efficiency of the reference checking process by calculating the return for every unit of effort

  2. 02

    Evaluate signal reliability

    Adjusts the weight of findings based on the quality of the sources used

  3. 03

    Find optimal reference count

    Identifies the specific number of calls an investor should make to maximize their return

  4. 04

    Calculate reference value

    Determines the total economic value generated by a completed set of reference checks

One connector, every AI

Venture Reference ROI 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 Venture Reference ROI 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.

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 Venture Reference ROI, so you can see the experience inside your AI.

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

Venture Reference ROI Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_TWFtY52wxcLgXqpecqEXwmd3PKcUW88tIVwXzEhM/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 — Venture Reference ROI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "venture-reference-roi-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_TWFtY52wxcLgXqpecqEXwmd3PKcUW88tIVwXzEhM/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 Venture Reference ROI

See all the AI clients this connector works with ↑

FAQ

Questions Venture Reference ROI owners ask.

  • 01

    How does this capability calculate the value of a reference check?

    The calculate_reference_value capability calculates value by multiplying the number of negative findings by the average loss avoided, then adjusting that total by the average signal strength of the references.

  • 02

    What is the optimal number of references to conduct?

    You can use find_optimal_reference_count to find the point where the cost of an additional call equals the expected marginal value gained from that call.

  • 03

    Can I adjust for the quality of my sources?

    Yes, the evaluate_signal_reliability capability allows you to adjust the weight of findings based on the source's proximity to the subject and their independence.