Windsor MCP vs conexor.io: MCP for marketing data vs. your own database
Same protocol. Very different data sources.
Windsor.ai is a marketing data aggregation platform — it pulls data from Google Ads, Meta, TikTok, Shopify, and dozens of other sources into one place. Their MCP integration makes that aggregated marketing data accessible to AI models.
If you're a performance marketer who wants Claude to answer questions about your ad spend and attribution, Windsor MCP is built for that.
Conexor is a different kind of MCP tool. Instead of connecting to third-party marketing platforms, it connects to your own databases — PostgreSQL, MySQL, SQL Server — and your internal APIs.
When you'd use Windsor MCP
- You want AI to analyze cross-channel marketing performance
- Your data lives in ad platforms, not your own database
- You need attribution modeling across Google, Meta, TikTok etc.
When you'd use conexor.io
- Your data lives in a PostgreSQL, MySQL, or SQL Server database
- You want non-technical team members to query business data in plain English
- You're building AI features that need live access to your product database
- You want a single MCP layer across multiple internal data sources
The key difference
Windsor owns the data pipeline. You bring the marketing platforms, Windsor normalizes the data, and MCP surfaces it to AI.
Conexor doesn't touch your data pipeline at all. You own the database. Conexor generates MCP tools from your schema, and queries run directly between the AI model and your infrastructure. Your data never passes through Conexor's servers.
If your business-critical data lives in your own database — not in an ad platform — Conexor is the right tool.
Getting started
Connect your database to Claude in 5 minutes. Free tier, no credit card required.