Introducing Windsor MCP: AI-Powered Insights from Your Integrated Data

At Windsor.ai, we’re all about turning your data into actionable insights.

Now, we’re excited to introduce Windsor’s MCP (Model Context Protocol) — a powerful tool that helps you interpret, explore, and extract insights from the data you’ve integrated with Windsor.ai.

Whether you’re a marketing analyst or a data engineer, this AI bridge enables smarter queries and summaries over your connected sources like Facebook Ads, Google Analytics, Shopify, and hundreds more.

What is Windsor MCP?

Business data lives across many platforms. Windsor.ai makes it easy to collect and normalize that data, and with our MCP, you can interact with it in a more intelligent way, without writing SQL or building dashboards from scratch.

MCP, or Model Context Protocol, is an emerging open standard proposed by Anthropic. It enables LLMs and AI agents, like Claude, ChatGPT, Gemini, or development tools like Cursor, to interact with external tools and services through defined APIs.

As more workloads shift toward AI-driven agents and automation, MCP opens the door to new workflows where models can trigger actions, query data, or monitor systems in real-time.

Windsor MCP is a natural language interface that connects your integrated Windsor data with the LLM platform, enabling you to extract valuable insights by asking questions like:

• “What campaigns had the best ROAS last month?”
• “Give me a breakdown of spend by channel over the past 90 days.”
• “What campaigns are wasting our advertising budget?”

All in real-time, inside your LLM chat interface.

While this guide focuses on using MCP with Claude, Windsor MCP is built on an open protocol that works with any MCP-compatible agent, be it ChatGPT, Perplexity, Cursor, or others.

See Windsor MCP in action: 

Things you can do with Windsor MCP

Once connected, you can ask the LLM to:

• Analyze performance trends across channels
• Summarize key metrics
• Help troubleshoot data issues
• Generate reports or SQL queries
• Explain outliers or shifts in your business performance

It works with structured data synced via Windsor.ai — no manual formatting or technical overhead. Get clear insights with appealing visual summaries.

Example of using Windsor MCP for paid media analytics:

Example of using Windsor MCP for e-commerce analytics:

Explore more real-world Windsor MCP use cases & examples for marketers, business owners, and data teams in this guide, along with 30+ prompt ideas.

How to configure Windsor MCP for different LLMs

Currently, Windsor MCP supports integrations with Claude, ChaGPT, Copilot Agent, Gemini, Perplexity, and Cursor. Every platform has its own configuration flow; find the installation steps below.

Before proceeding with data integration into any of these AI tools, make sure that you have synced at least one data source to your windsor.ai account. 

Windsor MCP for Claude

There are two methods to configure Windsor MCP for Claude:

1. By adding an external connector (available only with Claude Pro or a higher-tier desktop plan).
2. By using a dev setup (a paid Claude subscription is not required).

• Follow this setup guide to integrate your data into Claude.

Windsor MCP for ChatGPT

Prerequisites: Requires a Plus or Pro ChatGPT subscription.

• Follow this setup guide to integrate your data into ChatGPT.

Video tutorial:

Windsor MCP for Copilot Agent

Prerequisites: An existing agent in your Copilot Studio account.

• Follow this setup guide to integrate your data into Copilot Agent.

Windsor MCP for Perplexity

Prerequisites: Requires Perprexity desktop app with a paid Pro account.

• Follow this setup guide to integrate your data into Perplexity.

Windsor MCP for Cursor

Prerequisites: Installed Cursor Desktop app.

• Follow this setup guide to integrate your data into Cursor.

Windsor MCP for Gemini

Prerequisites: Installed Gemini CLI (requires Node.js version 18 or higher)

• Follow this setup guide to integrate your data into Gemini.

Take your data analytics to the next level with Windsor MCP

Whether you’re a paid Claude user or prefer the developer route, Windsor MCP opens up a new frontier in how you work with data. Have questions or feedback? We’d love to hear from you!

Get started with Windsor.ai today with a 30-day free trial (if you haven’t tried it yet): https://onboard.windsor.ai/.