calendar Last updated: 14 October 2026
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Introducing Windsor MCP: AI-Powered Insights from Your Integrated Data

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Windsor MCP is Windsor.ai’s MCP server: one connector that gives Claude, ChatGPT, Copilot, Gemini, Perplexity and Cursor access to every data source you connect to Windsor.ai, from Google Ads, Meta Ads and GA4 to Shopify, HubSpot and 350+ more. You ask a question in the assistant’s chat, and it pulls the data it needs through Windsor.ai.

On Google Ads, Meta Ads and the other platforms that support write actions, the assistant can also make changes, such as pausing a campaign or adjusting a budget, after you confirm each one.

🚀 Connect your first data source to Windsor.ai for free, then add Windsor MCP to your assistant: https://onboard.windsor.ai/.

What is Windsor MCP?

MCP (Model Context Protocol) is an open standard, first published by Anthropic, that lets AI assistants call external tools through a defined interface. Windsor MCP is Windsor.ai’s implementation: it gives the assistant tools to list your connected sources and accounts, look up the valid field names for each source, and fetch data for the dates you ask about.

Because one connector covers every source, a single question can combine platforms, for example Google Ads spend with GA4 key events, or Meta Ads spend with Shopify orders. Spend, clicks and impressions have the same names on every ad platform, so the assistant can add them up without renaming columns.

What it looks like with real data

We asked Windsor MCP for sessions and key events by channel group from windsor.ai’s own GA4 property, for the 30 days from 8 September to 7 October 2026. The query used three GA4 fields: session_default_channel_group, sessions and conversions (key events). The result, shown as rates:

Channel group Share of sessions Key events per session
Direct 31.7% 18.6%
Referral 23.9% 15.8%
AI Assistant 21.1% 24.2%
Organic Search 15.7% 7.4%
Paid Search 1.2% 6.9%

Visits from AI assistants made up a fifth of our sessions in that period and recorded more key events per session than direct, referral or search visits. A follow-up question in the same chat, such as which landing pages those visits arrived on, takes one more prompt.

What teams use Windsor MCP for

  • Cross-channel reporting: “Compare spend, clicks and cost per conversion across Google Ads, Meta Ads and TikTok Ads for last month, one row per platform.”
  • Client reporting for agencies: “For [client], give me last month’s results across Google Ads, Meta Ads and GA4 against the month before, with three takeaways.”
  • Diagnosis: “Paid search conversions fell last week. Which campaigns, and did landing page sessions in GA4 fall at the same time?”
  • Ecommerce: “What was ROAS by channel last month, using Shopify revenue and ad spend from every platform?”
  • Actions: “Which Google Ads search terms spent over $100 without a conversion? Add them as negative keywords after I confirm.”

For 30+ prompts by role, see Windsor MCP examples and use cases, and for paid media, Windsor MCP for PPC.

See Windsor MCP in action:

Windsor MCP answering a paid media question in Claude

Windsor MCP analyzing BigCommerce ecommerce data

How to set up Windsor MCP

Connect at least one data source in your Windsor.ai account first. You do not need to select fields or build a query in Windsor.ai for the assistant: every connected account and field is available to it. Then add Windsor MCP to the assistant you use.

Windsor MCP for Claude

Windsor.ai has a native connector in Claude: open the Connectors menu, search Windsor.ai and click Add. Follow the Claude setup guide for the full steps.

Windsor MCP for ChatGPT

Windsor.ai is available as a ChatGPT plugin: click Plugins in the ChatGPT sidebar, search Windsor.ai and click Install plugin. Follow the ChatGPT setup guide for the full steps.

Windsor MCP for Copilot Agent

You need an existing agent in Copilot Studio. Follow the Copilot Agent setup guide.

Windsor MCP for Perplexity

You need the Perplexity desktop app. Follow the Perplexity setup guide.

Windsor MCP for Cursor

You need the Cursor desktop app. Follow the Cursor setup guide.

Windsor MCP for Gemini

You need the Gemini CLI, which requires Node.js 18 or later. Follow the Gemini setup guide.

Conclusion

Windsor MCP gives your AI assistant one connection to all your marketing and business data, with the same field names across ad platforms and write actions on the platforms that support them. Connect the two or three sources you report on most, add Windsor MCP to Claude or ChatGPT, and start with a cross-channel question you currently answer in a spreadsheet.

In a ChatGPT Business, Enterprise or Edu workspace, Windsor MCP can also run inside a workspace agent that sends a report on a schedule. ChatGPT workspace agents with Windsor.ai has the setup, with a weekly Google Ads report as the example.

🚀 Get started with Windsor.ai on the free forever plan, no credit card: https://onboard.windsor.ai/.

FAQs

Is Windsor MCP free?

Yes, Windsor MCP is included on every Windsor.ai plan, including the free forever plan, which covers 1 data source with no credit card. Questions that combine several sources need a paid plan, from $19/month for 3 sources. See pricing.

Tired of juggling fragmented data? Get started with Windsor.ai today to create a single source of truth

Let us help you automate data integration and AI-driven insights, so you can focus on what matters, growth strategy.
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