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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Patent Monetization Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Turn your intellectual property into measurable revenue models.

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 Patent Monetization Engine capability set.

These are the exact actions your AI can choose when you ask it to work with Patent Monetization Engine.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Patent Monetization Engine.

  1. 01

    Analyze portfolio value

    This capability calculates the total revenue potential of a patent portfolio based on specific market opportunities.

  2. 02

    Calculate market readiness

    This capability assesses whether a market opportunity is ready for patent exploitation.

  3. 03

    Evaluate enforcement viability

    This capability determines if the expected revenue from legal action justifies the cost of enforcement.

  4. 04

    Recommend licensing strategy

    This capability suggests the best business move, such as Active Enforcement or Passive Licensing, by weighing revenue, costs, and patent quality.

One connector, every AI

Patent Monetization Engine 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Patent Monetization Engine 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

925ms average. Fast in production.

Patent Monetization Engine is checked daily against the live service.

Daily averagePeak 925ms
Sep 14Today
Fastest day
925ms
Slowest day
925ms
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 Patent Monetization Engine, so you can see the experience inside your AI.

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

Patent Monetization Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_AfclHoA3P8wF6HW7tyN6he2WpsxmFS76k6TBEuP2/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 — Patent Monetization Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-patent-monetization-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_AfclHoA3P8wF6HW7tyN6he2WpsxmFS76k6TBEuP2/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 Patent Monetization Engine

See all the AI clients this connector works with ↑

Who it's for

Built for the work Patent Monetization Engine owners hand off.

This MCP is built for professionals managing intellectual property assets who need rapid financial modeling.

  • 01

    IP Strategists

    They hand off portfolio data to the AI to generate licensing recommendations.

  • 02

    Patent Attorneys

    They use the capability to calculate if enforcement costs are justified by potential gains.

  • 03

    Corporate Finance Analysts

    They use the MCP to model the commercial value of technical assets.

FAQ

Questions Patent Monetization Engine owners ask.

  • 01

    What AI clients can use this MCP?

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

  • 02

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you. You just connect your client and start working.

  • 03

    Can this capability help with legal decisions?

    It provides financial modeling to determine if legal action is financially sound by comparing costs to expected revenue.

  • 04

    What kind of patent portfolios does this work for?

    It is specifically designed for evaluating the commercial value of AI-related patent portfolios.

  • 05

    How does it recommend a licensing strategy?

    It looks at the relationship between revenue, cost, and patent quality to suggest paths like Passive Licensing or Active Enforcement.

  • 06

    How is the revenue potential calculated?

    Revenue is calculated by multiplying the target market size by the adoption rate and the royalty rate, then adjusting for patent strength and relevance via analyze_portfolio_value.

  • 07

    Can I determine if litigation is worth the cost?

    Yes, use the evaluate_enforcement_viability capability to calculate the expected ROI and net gain of enforcement actions.

  • 08

    What kind of strategic advice does the capability provide?

    The recommend_licensing_strategy capability suggests actions like Active Enforcement, Passive Licensing, Strategic Partnerships, or Portfolio Divestment based on your data.

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