Windsor.Ai MCP
Pull unified marketing, sales, and ad-spend metrics into your agent without writing 325 separate integrations.
Overview
Windsor.ai MCP is a Grow-phase MCP server that lets agents query and analyze marketing, sales, and business data from 325+ platforms through Windsor.ai.
What is this MCP server?
- Remote SSE endpoint at https://mcp.windsor.ai/sse for MCP-capable agents
- Query marketing, sales, and business data across 325+ platforms via Windsor.ai
- Consolidates ad, CRM, and revenue connectors that indies usually wire one at a time
- Agent-driven analysis instead of exporting CSVs from a dozen dashboards
- Version 0.1.0; official repo at github.com/windsor-ai/windsor_mcp
- 325+ supported data platforms via Windsor.ai
- Transport: SSE remote at mcp.windsor.ai
- Published server version 0.1.0
Community signal: 3 GitHub stars.
What problem does it solve?
Your metrics live in dozens of ad and sales tools, so answering a simple ROI question means manual exports and spreadsheet glue.
Who is it for?
Indie SaaS founders and marketers who already use Windsor.ai connectors and want agent-native reporting during grow and launch planning.
Skip if: Builders who need raw social listening without a Windsor account, or teams that only want a single-platform API with no aggregation layer.
What do I get? / Deliverables
Your agent can query connected Windsor.ai sources in one conversation and ground decisions in cross-platform numbers instead of dashboard archaeology.
- Agent-queryable answers over Windsor-linked marketing and sales datasets
- Cross-platform analysis context for pricing, launch, and growth decisions
- Reduced manual export work across many ad and revenue tools
Recommended MCP Servers
Journey fit
Growth is the canonical shelf because solo builders install Windsor when they need cross-channel performance truth—not when they are still sketching features. Analytics is the primary subphase: the server is built to query and analyze connected business data, not to publish campaigns or fix production errors.
How it compares
Unified marketing-data MCP connector, not a standalone analytics skill or BI dashboard UI.
Common Questions / FAQ
Who is Windsor.Ai MCP for?
Solo builders and small teams who use Windsor.ai to connect ad, sales, and marketing tools and want their coding agent to query that data over MCP.
When should I use Windsor.Ai MCP?
Use it when you are validating channel economics, reviewing launch spend, or running grow-phase analytics and need answers across many platforms at once.
How do I add Windsor.Ai MCP to my agent?
Register the remote SSE URL https://mcp.windsor.ai/sse in your MCP client, complete Windsor.ai source connections on windsor.ai, then invoke the server’s tools from Claude Code, Cursor, or another MCP host.