Server data from the Official MCP Registry
Query and analyze marketing, sales, and business data from 325+ platforms via Windsor.ai.
Query and analyze marketing, sales, and business data from 325+ platforms via Windsor.ai.
Remote endpoints: sse: https://mcp.windsor.ai/sse
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
Endpoint verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-windsor-windsor-mcp": {
"url": "https://mcp.windsor.ai/sse"
}
}
}From the project's GitHub README.
Windsor MCP (Model Context Protocol) enables your LLM to query, explore, and analyze your full-stack business data integrated into Windsor.ai with zero SQL writing or custom scripting.
It connects seamlessly to 325+ platforms, giving AI-native tools such as Claude, Perplexity, Cursor, or others, real-time access to your performance marketing, sales, and customer data to help you unlock valuable insights.
Windsor MCP is a natural language interface that connects your integrated Windsor.ai datasets with the LLM platform, enabling you to better understand your data by asking questions like:
All in real-time, directly inside your LLM chat interface.
Sync data from Facebook Ads, GA4, HubSpot, Salesforce, Shopify, TikTok Ads, and more via native Windsor.ai connectors.
Windsor MCP works via the Claude Desktop or with a lightweight dev proxy. No custom integrations required.
Built on Anthropic’s open MCP spec, it’s compatible with Claude, Perplexity, Cursor, and more.
Get instant breakdowns, summaries, and performance insights from your integrated data.
You connect Windsor MCP to your preferred LLM as an external connector using the MCP protocol. The LLM can then issue real-time data queries and receive structured results, all within the chat interface.
https://windsor.ai/introducing-windsor-mcp/
https://mcp.windsor.aihttps://mcp.windsor.ai/sseFor users on lower-tier Claude plans or requiring custom setups for advanced flexibility.
💡 Replace with your system username.
Open settings in Cursor Desktop. Select Tool & Integrations > New MCP Server.
The mcp.json file will open. Paste the following script into it:
If the .gemini directory doesn’t exist yet, run gemini once to generate it. Open the settings.json file:
Add the following configuration inside the JSON object:
Note: Make sure the overall file remains valid JSON (no trailing commas or syntax errors).
You’ll be asked for your Windsor API key — paste it in to authenticate. You’re all set now!
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.
Any AI agent compatible with MCP, including Claude Desktop, Perplexity, Cursor, and custom tools.
Marketing performance, sales pipelines, spend summaries, ROAS trends, campaign anomalies, and more. If it’s in your Windsor.ai data, you can ask it.
No. Just ask your questions in plain English and get structured responses in real-time.
Windsor MCP is currently in beta. All features are fully functional, but you may encounter occasional quirks. We're actively improving performance, authentication, compatibility, and feature coverage.
Start querying your business data via Windsor MCP. 👉 Get your API Key 👉 Watch the demo For support or feedback, contact us at support@windsor.ai.
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