ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Data Partnership Value with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Quantify the true value of your data assets.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Data Partnership Value capability set.

These are the exact actions your AI can choose when you ask it to work with Data Partnership Value.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Data Partnership Value.

  1. 01

    Assess partnership risk

    This capability identifies legal and competitive threats that might be hidden in an agreement.

  2. 02

    Calculate revenue potential

    This capability determines the expected financial return for a specific data asset within a partnership.

  3. 03

    Evaluate strategic moat

    This capability quantifies the long-term competitive advantage you gain through data exclusivity.

  4. 04

    Summarize partnership value

    This capability combines revenue, strategy, and risk into a single, holistic valuation and recommendation.

One connector, every AI

Data Partnership Value 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 Data Partnership Value 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

939ms average. Fast in production.

Data Partnership Value is checked daily against the live service.

Daily averagePeak 939ms
Sep 14Today
Fastest day
939ms
Slowest day
939ms
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. 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 Data Partnership Value, so you can see the experience inside your AI.

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

Data Partnership Value Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_D24YTzircrrAoyrDA4kOSlmk4a1qJOLJmKsxXMtK/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 — Data Partnership Value capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "data-partnership-monetization-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_D24YTzircrrAoyrDA4kOSlmk4a1qJOLJmKsxXMtK/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 Data Partnership Value

See all the AI clients this connector works with ↑

Who it's for

Built for the work Data Partnership Value owners hand off.

This MCP is for professionals managing the intersection of data assets and corporate strategy.

  • 01

    Data Strategists

    They use the AI to model the long-term value of proprietary datasets.

  • 02

    Business Development Leads

    They hand off deal terms to the AI to check revenue potential and risk.

  • 03

    M&A Analysts

    They use the capabilities to evaluate the strategic moats of target companies.

FAQ

Questions Data Partnership Value owners ask.

  • 01

    What can this MCP do for data partnerships?

    It calculates revenue potential, evaluates strategic moats, identifies risks, and provides a final holistic valuation for data-sharing agreements.

  • 02

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    How does it handle risk assessment?

    The capability identifies potential legal and competitive threats inherent in a specific agreement.

  • 04

    Can it help with AI training data valuation?

    Yes, it is specifically designed to help stakeholders evaluate the value of data assets used for AI training.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect.

  • 06

    How does the capability calculate revenue potential?

    The calculate_revenue_potential capability calculates the provider's share by multiplying the estimated market size by the revenue sharing percentage, then applying a multiplier based on the asset's uniqueness score.

  • 07

    Can I assess regulatory risks like GDPR?

    Yes, the assess_partnership_risk capability allows you to input regulatory constraints such as GDPR or CCPA to identify potential legal threats and compliance status.

  • 08

    What is the final output of the valuation process?

    The summarize_partnership_value capability provides a final net value in Euros, a summary rating (like 'Strong Buy' or 'Avoid'), and a natural language recommendation.