Microsoft Copilot Agent connectors
& integrations

Microsoft 365 Copilot Agent for data analysis lets you instantly analyze, visualize, and interpret large-scale datasets, including Excel files, CSVs, databases, or data connected from third-party sources, using natural language queries. It works with the structured data to help you unlock valuable insights, whether you want to identify trends and gaps, generate visual reports, or get an action plan. All without code or advanced technical skills.

By using Windsor MCP for Copilot Agent, you can take data analysis to the next level with the following features and benefits:

• Speed and efficiency: Windsor MCP extracts data from multiple sources, cleans messy datasets, and delivers them to Copilot in seconds, automating repetitive and time-consuming data tasks.
• Accessibility for non-technical users: You do not need to be a data analyst to explore insights. Simply ask questions (e.g., “What are the top-performing Meta Ads campaigns this week?”) and receive clear answers, charts, and tables.
• Advanced analysis: Copilot Agent can instantly summarize KPIs across channels, identify top performers and outliers, and detect key trends that might otherwise go unnoticed, eliminating the need to build custom BI dashboards or perform deep analytics in a warehouse using custom SQL queries.

Windsor MCP (Model Context Protocol) is Windsor.ai’s infrastructure that securely delivers clean, structured data from your connected sources directly to AI tools like Microsoft Copilot. It covers data aggregation, normalization, and delivery under the hood, so you can instantly proceed with Copilot Agent analysis instead of data preparation.

Things you can do with Windsor.ai for Copilot integration:

• Summarize key performance metrics across different business platforms
• Discover trends and gaps across channels
• Generate reports and SQL queries
• Explain anomalies and performance shifts
• Get recommendations and tips for optimizing your strategy, campaigns, and budget
• Perform forecasting and scenario analysis
• Get help with troubleshooting issues in your Windsor account

Learn more about Windsor MCP use cases: How to Use Windsor MCP for AI Data Analysis: Examples & Use Cases.

Copilot connectors are third-party applications that enable seamless integration between external data sources and the Copilot agent.

For instance, the Windsor MCP connector eliminates the need for manual data exports, cleaning, and transfers by delivering structured, analysis-ready data from over 325 platforms directly into ChatGPT within seconds.

With just a few clicks, users can bring in multi-channel data, perform in-depth analyses, and fully leverage Copilot’s capabilities without any technical complexity.

Windsor.ai’s pricing for Microsoft Copilot data integration can vary depending on the number of connected accounts and data sources. We offer absolutely transparent pricing plans for diversified business needs and budgets, along with a 30-day free trial and Windsor MCP included in every plan.

With Windsor.ai’s native connector for Copilot Agent, the integration process takes just a few minutes. No technical expertise or coding is required; connecting data to Copilot is simple, straightforward, and accessible to everyone.

You just need to follow these three simple steps:

1. Connect your data source(s) to Windsor.ai and select the account(s) from which you want to pull data.
2. In Microsoft Copilot, create a new agent (Windsor MCP) and connect your Windsor account via the API key.
3. Start a new chat, confirm Windsor MCP credentials, and ask Copilot Agency any questions related to your data.

Step-by-step setup guide: How to integrate data into Copilot with Windsor MCP.

Yes. Windsor.ai is built to scale with your data needs. As your business grows, you can add more data sources, accounts, and historical data without changing your Copilot Agent setup. The agent continues to analyze your expanded datasets seamlessly through the same connector.

You can connect data from over 325 platforms, including Meta Ads/Organic, Instagram, Google Ads, GA4, Salesforce, Shopify, TikTok, Klaviyo, HubSpot, and many more. Multiple sources can be unified in a single dataset to analyze your cross-channel performance.

No. Data integration into Copilot Agent through Windsor MCP requires no coding or complex configuration. You simply connect your data sources in Windsor.ai, add Windsor MCP as a new tool in Copilot Agent, and start analyzing your data using natural-language prompts.

Yes. Windsor.ai follows industry-standard security practices to ensure your data is handled safely. Microsoft Copilot only accesses the data you explicitly connect through Windsor MCP.

Absolutely. Windsor.ai allows you to connect data from several platforms and transfer it to Copilot, so you can analyze cross-channel performance, compare results, and spot insights and gaps across your entire martech stack.

Yes. You can try the Windsor.ai connector with Copilot on a free plan and during your 30-day free trial.

Copilot Agent can answer diversified questions about your connected data, from KPI summaries and automated reports to cross-platform comparisons and trend discovery.

To get started asap, check out our AI Prompt Library, where we provide ready-to-use prompts tailored for different data sources and reporting needs. 

Currently, Windsor MCP supports integrations with Microsoft Copilot Agent, ChatGPT, Claude, Cursor, Gemini, and Perplexity. More tools to come.