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.


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?

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.
Compatible with:

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 gain a complete view into pipeline health and destination tasks. Windsor MCP helps monitor status, detect anomalies, and resolve issues before they impact the warehouse or downstream analytics. Instead of firefighting broken pipelines, engineers can focus on scaling infrastructure and optimizing performance.
You can ask questions like:
- Which connectors have had the highest number of failed loads this week?
- Why do my BigQuery tasks have backfill deactivated status?
- Have any authentication tokens expired over the last 3 days?
- Are there anomalies or failed loads in the past 24 hours across our connectors?
- How can I optimize my Snowflake queries for better performance and reduced storage costs?

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 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 gain a complete view into pipeline health and destination tasks. Windsor MCP helps monitor status, detect anomalies, and resolve issues before they impact the warehouse or downstream analytics. Instead of firefighting broken pipelines, engineers can focus on scaling infrastructure and optimizing performance.
You can ask questions like:
- Which connectors have had the highest number of failed loads this week?
- Why do my BigQuery tasks have backfill deactivated status?
- Have any authentication tokens expired over the last 3 days?
- Are there anomalies or failed loads in the past 24 hours across our connectors?
- How can I optimize my Snowflake queries for better performance and reduced storage costs?
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?
Get started fast: Windsor MCP setup steps
Select any data source to import your data from
Aggregate data from more than 325 sources with our secure and reliable connectors and APIs.

Connect Windsor MCP to your favorite LLM
Follow the quick setup guide to connect your Windsor data to your preferred LLM tool.

Complete the connection
Most LLM tools require you to provide your Windsor API key to finalize the connection. Make sure to copy and paste your key securely to enable data access.

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.
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. Access performance insights from the following platforms:
FAQs
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. But keep in mind that Claude Desktop allows you to add external connectors only on the paid plans.
What agents does it work with?
You can connect Windsor MCP to any AI agent compatible with MCP, including Claude Desktop, ChatGPT, Perplexity, Cursor, Gemini, etc.
What can I ask Windsor MCP?
Everything related to your marketing performance, sales pipelines, spend summaries, ROAS trends, campaign anomalies, and more. If it’s in your Windsor.ai data, you can ask it.
AI agents can even help you with troubleshooting authorization or other types of issues in your Windsor account.
Tired of juggling fragmented data? Get started with Windsor MCP today and unlock instant AI insights across all your platforms




















































































































































































































