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Connect Enterprise Cross Sell Success Rate Engine to your AI

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. Turn product affinity data into actionable sales playbooks.

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

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.

A futuristic MCP client docking bay
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 Enterprise Cross-Sell Engine.

  1. 01

    Calculate success metrics

    This capability calculates your current cross-sell efficiency metrics. It provides the baseline numbers needed to track performance improvements.

  2. 02

    Analyze product affinity

    This capability analyzes the strength of relationships between different product pairs. It identifies which items are most likely to be bought together.

  3. 03

    Evaluate customer fit

    This capability evaluates how well a specific product matches a customer's requirements. It helps prevent pitching products that don't solve the user's problems.

  4. 04

    Generate cross sell playbook

    This capability generates strategic recommendations for sales teams. It turns analytical findings into actionable guidance for outreach.

Real work

What teams actually run

01

Product Bundling Strategy

Identify which products should be bundled together based on high affinity scores.

02

Sales Training

Give sales teams specific playbooks derived from successful historical cross-sell patterns.

03

Customer Retention

Use fit evaluation to ensure customers are only offered products that solve their specific needs.

04

Performance Auditing

Calculate success metrics to see if recent cross-sell initiatives actually improved efficiency.

One connector, every AI

Enterprise Cross-Sell 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 Enterprise Cross-Sell 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

917ms average. Fast in production.

Enterprise Cross-Sell Engine is checked daily against the live service.

Daily averagePeak 1105ms
Oct 3Today
Fastest day
759ms
Slowest day
1105ms
14-day trend
Improving-6%

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 Enterprise Cross-Sell Engine, so you can see the experience inside your AI.

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

Enterprise Cross-Sell Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_z2vgT2hB5hUpCXFgIQ4gUUMpjT4NYHADlgj6m7WR/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 — Enterprise Cross-Sell Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "enterprise-cross-sell-success-rate-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_z2vgT2hB5hUpCXFgIQ4gUUMpjT4NYHADlgj6m7WR/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 Enterprise Cross-Sell Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Enterprise Cross-Sell Engine owners hand off.

This MCP is built for organizations looking to optimize their existing customer base through data-driven sales strategies.

  • 01

    Sales Operations

    They use the agent to generate playbooks and monitor conversion metrics.

  • 02

    Revenue Analysts

    They use the capability to identify product affinity and calculate success rates.

  • 03

    Account Managers

    They use the fit evaluation to decide which products to pitch to specific clients.

FAQ

Questions Enterprise Cross-Sell Engine owners ask.

  • 01

    What can this MCP do for my sales team?

    It allows your AI agent to calculate cross-sell success rates, find product affinities, and create strategic playbooks for sales outreach.

  • 02

    How does it help with product recommendations?

    The MCP uses affinity analysis to find product pairs that sell well together and evaluates customer fit to ensure recommendations match user needs.

  • 03

    Which AI clients can I use with this MCP?

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

  • 04

    Does this MCP host my data?

    No, Vinkius hosts the MCP itself, allowing your agent to perform the calculations and analysis you request.

  • 05

    Can I use this to find which products my customers need?

    Yes, the evaluate_customer_fit capability specifically checks how well a product's capabilities match a customer's requirements.

  • 06

    How do I calculate my current cross-sell efficiency?

    You can use the calculate_success_metrics capability by providing the total number of opportunities and the number of closed sales.

  • 07

    Can this capability help identify which products to bundle?

    Yes, the analyze_product_affinity capability identifies product combinations with high historical correlation to suggest effective bundles.

  • 08

    How does the engine provide sales recommendations?

    The generate_cross_sell_playbook capability synthesizes success rates, affinity data, and fit scores into a prioritized list of tactical instructions.

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