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.

Which AI clients can use this MCP?

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

How does it handle risk assessment?

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

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.

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.

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.

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.

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.

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Connect Data Partnership Monetization to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Quantify the true value of your data assets.

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.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Data Partnership Value.

01
Assess partnership risk
This capability identifies legal and competitive threats that might be hidden in an agreement.
02
Calculate revenue potential
This capability determines the expected financial return for a specific data asset within a partnership.
03
Evaluate strategic moat
This capability quantifies the long-term competitive advantage you gain through data exclusivity.
04
Summarize partnership value
This capability combines revenue, strategy, and risk into a single, holistic valuation and recommendation.

Real work

What teams actually run

AI Training Data Deals

Evaluate if the revenue from selling training data outweighs the loss of competitive advantage.

Exclusivity Negotiations

Determine if an exclusivity clause provides enough of a moat to justify a higher price.

Regulatory Risk Checks

Check if a new data partnership introduces legal vulnerabilities like GDPR issues.

Partnership Audits

Run a final check on a proposed deal to get a holistic net value 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

853ms average. Fast in production.

Data Partnership Value is checked daily against the live service.

Daily averagePeak 1029ms

Oct 3Today

Fastest day: 739ms
Slowest day: 1029ms
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. 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.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
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? Set up Data Partnership Value in Claude and other AIs

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.

Explore

More in Finance

Connect Data Partnership Value to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Assess partnership risk

Calculate revenue potential

Evaluate strategic moat

Summarize partnership value

What teams actually run

AI Training Data Deals

Exclusivity Negotiations

Regulatory Risk Checks

Partnership Audits

Building your own app? The connector is yours to use.

Data Partnership Value Connector

Claude Desktop

Data Strategists

Business Development Leads

M&A Analysts

What can this MCP do for data partnerships?

Which AI clients can use this MCP?

How does it handle risk assessment?

Can it help with AI training data valuation?

Do I need to host the MCP myself?

How does the capability calculate revenue potential?

Can I assess regulatory risks like GDPR?

What is the final output of the valuation process?

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