# Unlock instant AI insights with Windsor MCP Windsor MCP (Model Context Protocol) connects your sales, marketing, and business data from 325+ sources, be it Facebook Ads, Google Analytics 4, or Shopify, to your favorite LLMs, delivering real-time AI summaries in natural language. **No coding or SQL required; just ask questions and get answers in seconds.** [Try It Now](https://onboard.windsor.ai/) [View documentation](/content/introducing-windsor-mcp/index.html) What TikTok Ads 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 Facebook Ads budget? cdn.iubenda.com # cdn.iubenda.com is blocked This page has been blocked by an extension - Try disabling your extensions. ERR\_BLOCKED\_BY\_CLIENT Reload This page has been blocked by an extension ## What is Windsor MCP? Business data is scattered across dozens of platforms. Windsor.ai centralizes and normalizes it, and Windsor MCP adds a natural language layer on top. You can interact with your data directly in LLM tools like Claude, ChatGPT, Gemini, Cursor, or others, asking questions, uncovering trends, and generating visual summaries instantly, without analyst bottlenecks. ## Key features of Windsor MCP Generates insights via natural language—no custom SQL or dashboards needed Delivers instant answers and visual summaries inside your favorite LLM tools Supports 325+ data sources like Facebook Ads, GA4, HubSpot, Shopify, and more Built on open standards, offering flexibility and interoperability ## Gain clarity across all your data with AI-powered analysis Windsor MCP surfaces trends and insights from all business areas in seconds, helping teams identify opportunities, cut inefficiencies, and make smarter decisions. - Marketing analysts - Data engineers - Business leaders - Sales managers Marketing specialists can turn raw data into comprehensive reports and summaries, enabling faster, more effective decisions and optimizations without relying on engineers or analysts. You can ask questions like: - Which ad channels are driving the highest conversions this month? - What type of LinkedIn content is generating the highest engagement with our target audience? - How is our Google Ads customer acquisition cost trending compared to last quarter? - Where are we overspending in the TikTok Ads campaign budget without seeing results? - What traffic sources and countries deliver the highest conversion rate? Data engineers can use Windsor MCP to design more efficient schemas and optimized queries for their Windsor-powered pipelines by sharing connector URLs, schemas, and SQL they run in their environment. You can ask questions like: - Here is a BigQuery query I use on Windsor data. It’s slow and expensive. Can you rewrite it to reduce bytes scanned and improve performance, keeping the same result? - Given this Snowflake schema for my Windsor-loaded table, generate an efficient query for the last 30 days’ campaign performance by channel, including spend, revenue, ROAS, and CTR. - Based on these raw tables from Windsor (Facebook + Google Ads), propose a unified ‘marketing\_performance\_daily’ model and write the SQL to build it. - Here is the error message from my last Windsor → BigQuery load. Can you explain what’s wrong and suggest how to fix it? Business leaders gain instant visibility into performance across departments, eliminating delays caused by manual reports and enabling smarter decisions. With AI-powered summaries, managers can focus on strategy and growth instead of chasing fragmented numbers. You can ask questions like: - Which products or services delivered the highest ROI this quarter? - How is our revenue trending versus the forecast of $X? - Which regions or markets are underperforming and require attention? - What’s the overall customer acquisition cost across all channels? - Where can we cut costs without slowing growth? Sales teams unlock AI-driven insights into pipeline health, customer behavior, and revenue trends, removing the need for static dashboards. This allows reps and managers to prioritize opportunities, refine outreach, and close deals faster. You can ask questions like: - Which leads in our HubSpot CRM have the highest likelihood of converting this month? - How is our sales pipeline progressing compared to last quarter? - Which accounts are at risk of churn based on Salesforce data? - What industries or segments are generating the most revenue right now? - Which campaigns are driving the fastest deal closures this month? Marketing analysts You can ask questions like: Data engineers You can ask questions like: Business leaders You can ask questions like: Sales managers You can ask questions like: ## Get started fast: Windsor MCP setup steps 1 ### Sign up and enjoy a 30-day free trial [Create an account](https://onboard.windsor.ai/) at windsor.ai and log in to the app. 2 ### Select any data source to import your data from Aggregate data from more than 325 sources with our secure and reliable connectors and APIs. 3 ### Connect Windsor MCP to your favorite LLM Follow a quick [setup guide](/content/documentation/windsor-mcp/index.html) to connect your Windsor data to your preferred LLM tool. 4 ### Start analyzing your data in the LLM Now, you are good to go with any questions related to your data. ## Quick guides to connect Windsor MCP Check out our step-by-step instructions to seamlessly integrate your data into any of these LLM destinations using Windsor.ai. Claude [Setup guide](/content/documentation/windsor-mcp/how-to-integrate-data-into-claude/index.html) ChatGPT [Setup guide](/content/documentation/windsor-mcp/how-to-integrate-data-into-chatgpt/index.html) Perplexity [Setup guide](/content/documentation/windsor-mcp/how-to-integrate-data-into-perplexity/index.html) Cursor [Setup guide](/content/documentation/windsor-mcp/how-to-integrate-data-into-cursor/index.html) Gemini [Setup guide](/content/documentation/windsor-mcp/how-to-integrate-data-into-gemini/index.html) ## What users say about Windsor MCP **“Best solution for analyzing your Google Analytics 4 data at scale.** Windsor MCP made it possible to process and analyze our GA4 data far beyond what the standard dashboards allow. Instead of spending hours exporting reports and piecing insights together manually, we can now ask direct questions about campaign performance in Claude and instantly get the answers. It’s completely changed how our team makes marketing decisions.” “Windsor MCP for ChatGPT gave us clear visibility into our sales pipeline straight from Salesforce, so now we don’t have to deal with messy spreadsheets or manual reports.” “They have an MCP server, and it’s now easier than ever to get insights about my Google Analytics campaigns.” “With Windsor MCP, we can instantly see which campaigns in HubSpot are turning into real opportunities. Huge time-saver for the team.” “We finally have one place to compare spend and ROI across Google Ads, Facebook, and LinkedIn. Windsor MCP makes cross-channel reporting super quick and simple.” ## Analyze your data from hundreds of sources Let Windsor MCP automatically collect data from 325+ sources and sync it with any LLM tool for in-depth analysis in seconds. 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Windsor MCP (Model Context Protocol) is an AI-powered tool that connects your integrated Windsor.ai data with LLM platforms like Claude, Cursor, Gemini, and others. It allows you to ask natural language questions about your data and receive actionable insights without writing SQL or building dashboards from scratch. ### What can I do with Windsor MCP? Windsor MCP lets you interact with your business data directly in your favorite LLM tools. Instead of writing SQL queries, you can simply ask questions like _“Which campaign drove the highest ROAS last week?”_ or _“Summarize sales trends across Shopify and Google Ads.”_ MCP automatically collects and normalizes data from all sources connected to your Windsor account, generating instant summaries, deep insights, and optimization recommendations. ### Is Windsor MCP free to use? Yes, it’s available during our beta phase. You’ll need a Windsor.ai account with integrated data and API key access. 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