ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use PE AI Strategic Buyer Identification with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Identify AI-focused strategic acquirers using technical synergy and M&A behavior analysis.

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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 PE AI Strategic Buyer Identification capability set.

These are the exact actions your AI can choose when you ask it to work with PE AI Strategic Buyer Identification.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through PE AI Strategic Buyer Identification.

  1. 01

    Analyze acquisition history

    Provides context on a buyer's previous M&A behavior to inform strategic predictions

  2. 02

    Estimate premium potential

    Calculates the potential acquisition premium based on market tension and technology scarcity

  3. 03

    Predict interest likelihood

    Estimates the probability that a specific buyer will pursue the target

  4. 04

    Query buyer fit

    Evaluates how well a target matches a specific buyer's strategic needs

One connector, every AI

PE AI Strategic Buyer Identification 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 PE AI Strategic Buyer Identification 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 PE AI Strategic Buyer Identification, so you can see the experience inside your AI.

It does not authenticate your account with PE AI Strategic Buyer Identification. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

PE AI Strategic Buyer Identification Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_JDZDEdLig52raQ7S9ga55XAmNl1er0W1CHjk6MbW/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 — PE AI Strategic Buyer Identification capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pe-ai-strategic-buyer-identification-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_JDZDEdLig52raQ7S9ga55XAmNl1er0W1CHjk6MbW/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? link.label

See all the AI clients this connector works with ↑

FAQ

Questions PE AI Strategic Buyer Identification owners ask.

  • 01

    How is the buyer fit score calculated?

    The score is determined by the overlap between target capabilities and the buyer's strategic needs, plus how well the target bridges identified buyer gaps using query_buyer_fit.

  • 02

    Can I predict how much extra a buyer might pay?

    Yes, you can use estimate_premium_potential to calculate the estimated percentage above current valuation based on tech scarcity and competitive intensity.

  • 03

    Does this capability analyze historical M&A patterns?

    Yes, analyze_acquisition_history provides context on a buyer's previous M&A behavior, including preferred tech sectors and average deal sizes.