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 View documentation

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?

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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

Sign up and enjoy a 30-day free trial

Create an account at windsor.ai and log in to the app.

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 a quick setup guide to connect your Windsor data to your preferred LLM tool.

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

ChatGPT

Perplexity

Cursor

Gemini

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:

Unlock instant AI insights with Windsor MCP

cdn.iubenda.com is blocked

What is Windsor MCP?

Key features of Windsor MCP

Gain clarity across all your data with AI-powered analysis

Get started fast: Windsor MCP setup steps

Sign up and enjoy a 30-day free trial

Select any data source to import your data from

Connect Windsor MCP to your favorite LLM

Start analyzing your data in the LLM

Quick guides to connect Windsor MCP

What users say about Windsor MCP

Analyze your data from hundreds of sources

Amazon Ads

Amazon Seller Central (Amazon SP)

Facebook Ads (Meta)

Facebook Page Insights (Meta)

Google Ads

Google Analytics 4

Google My Business

Google Search Console

HubSpot

Instagram

Klaviyo

LinkedIn Ads

LinkedIn Pages

Magento

Microsoft Ads (Bing Ads)

Salesforce

Shopify

Snapchat Ads

TikTok Ads

TikTok Organic

WooCommerce

Youtube

ActiveCampaign

Adalyser

Adform

Adjust

Adobe Analytics (v1.4)

Adobe Analytics (v2.0)

AdRoll

Adtraction

Aha!

Aimwel

Aircall

Airtable

Alpha Vantage

Amazon SQS

Amazon Vendor Central

Amplitude

Apify Dataset

AppFollow

Apple Search Ads

Appnexus

AppsFlyer

Apsis One

Ashby

Attentive

Auth0

Awin

Azure Table Storage

Babelforce

Bamboo HR

Basis DSP

BigCommerce

Blended Data Connector

Bling!

BoxCast

Braintree

Branch

Braze

Breezometer

Brevo (Sendinblue)

CallRail

Captain Data

Cart

Chargebee

Chargify

ChartMogul