How to integrate data into Gemini with Windsor MCP

Windsor MCP lets you stream large-scale data from over 325 sources into Gemini, so you can explore your business data in natural language and unlock AI-powered insights with no manual file uploads.

Follow these step-by-step instructions to connect your data to Gemini through Windsor MCP in just a few minutes.

Prerequisites

To use Windsor MCP with Gemini, make sure you have the following:

  • An active Windsor.ai account (free or paid plan) with at least one connected data source
  • Installed Gemini CLI (requires Node.js version 18 or higher)

🚀 Get started with Windsor MCP today with a 30-day free trial: https://onboard.windsor.ai/ and experience the power of AI-driven analytics.

Steps to configure Windsor MCP for Gemini

1. Install Gemini CLI (command line interface).

npm install -g @google/gemini-cli

2. Run Gemini once so it generates its directories:

gemini

It can be closed with CTRL+C (or ⌘+C on macOS).

3. Configure Gemini to use Windsor MCP:

  • Navigate to the Gemini config directory using the command:
cd ~/.gemini

If the .gemini directory doesn’t exist yet, run gemini once to generate it.

  • Open the settings.json file using the command:
nano settings.json
  • Add the following configuration inside the JSON object:
{
 "mcpServers": {
  "windsor": {
   "httpUrl": "https://mcp.windsor.ai/"
  }
 }
}

Note: Make sure the overall file remains valid JSON (no trailing commas or syntax errors).

4. Start Gemini with Windsor MCP:

gemini

5. Run the command:

/mcp auth windsor

It will open the browser window to authenticate windsor.ai.

windsor mcp for gemini

Once connected, you can start asking Gemini questions about your data. Windsor’s MCP will securely route your queries and return intelligent insights from your connected sources.

 

Note: If you have issues with getting CLI Gemini to work with our MCP its best to directly prompt Gemini for help.

Helpful links

  • About Windsor MCP – Explore general info about Windsor MCP: supported data sources and LLMs, benefits, use cases, etc.
  • Windsor MCP use cases & examples (30+ prompts inside) – If you don’t know what to ask or are looking for advanced Windsor MCP use cases, read this guide for a batch of practical examples and useful prompts to make your data analysis with Gemini even more effective and deeper.

Tired of manual data reporting and analysis? Get started with Windsor MCP today to unlock instant AI insights

Let us help you automate data integration and AI-powered analytics, so you can make smarter business decisions.
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