Use Wine Influencer Analytics with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Calculate influencer engagement impact, collaboration costs, and ROI for wine brand partnerships.
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.
Complete set · 4 capabilities
The complete Wine Influencer Analytics capability set.
These are the exact actions your AI can choose when you ask it to work with Wine Influencer Analytics.
01-04
4 capabilities in this set.
Part of 4 available through Wine Influencer Analytics.
- 01
Calculate collaboration cost
Aggregate all financial outlays required for the partnership
- 02
Estimate engagement impact
Determine the expected scale of visibility and interaction for a single content piece
- 03
Evaluate roi
Determine the financial efficiency of the collaboration
- 04
Analyze audience alignment
Assess how well the influencer's followers match the brand's target demographics
One connector, every AI
Wine Influencer Analytics 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Wine Influencer Analytics 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 Wine Influencer Analytics, so you can see the experience inside your AI.
It does not authenticate your account with Wine Influencer Analytics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Wine Influencer Analytics Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Kz2KK950iUszEFCmrUsQuPjB4d3MfgIqmiKMx3AG/mcpClaude 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 — Wine Influencer Analytics capabilities are ready to use.
{
"mcpServers": {
"wine-influencer-collaboration-value-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Kz2KK950iUszEFCmrUsQuPjB4d3MfgIqmiKMx3AG/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 Wine Influencer Analytics
FAQ
Questions Wine Influencer Analytics owners ask.
- 01
How do I calculate the total cost of a partnership?
Use the calculate_collaboration_cost capability. You must provide both the direct creator fee and the retail value of the wine products supplied to get the true total investment.
- 02
Can I account for content ownership in my ROI calculation?
Yes. When using evaluate_roi, you can provide an ownershipRightsMultiplier to reflect the added value of owning the content for future brand advertisements.
- 03
How is audience alignment measured?
The analyze_audience_alignment capability compares the influencer's audience traits against your target customer profile to produce a normalized alignment score.
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