Windsor MCP Server
MCP server that connects AI assistants to multi-channel marketing and revenue data in Windsor.ai.
Getting Started
uv tool install mcp-proxy && mcp-proxy https://mcp.windsor.ai/sse
About this Tool
Windsor MCP exposes Windsor.ai data through Model Context Protocol so assistants can query ad spend, ROAS, CRM, and commerce data in natural language. It supports Claude Desktop, Cursor, and other MCP clients via remote endpoint plus mcp-proxy setup.
Use Case Examples
- Compare Meta vs Google ROAS over the last 90 days and explain channel shifts.
- Find campaigns with high spend and low conversion rate by audience segment.
- Pull top-performing Shopify products by paid acquisition source.
MarketCore Editorial Review
MarketCore Editorial Review
Strong option for teams already centralizing data in Windsor.ai. The value is speed: marketers can ask natural-language performance questions across ad and CRM datasets without writing SQL.
Best For
- Weekly paid media performance reviews
- Cross-channel budget reallocation decisions
- Campaign anomaly checks tied to revenue outcomes
Code Quality
Implementation is focused and usable in current MCP clients; remote endpoint plus mcp-proxy path is practical.
Limitations
Best results depend on Windsor.ai data quality and connector setup. Beta-stage service means occasional instability should be expected.
Reviewed 2026-04-05
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Score Breakdown
Overall Score
Based on 5 dimensions
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