How to Install Windsor.ai MCP Server in OpenAI Agents SDK
Query your marketing, sales, and customer data in plain English — across 325+ sources.
What Windsor.ai MCP Server does
Windsor MCP gives Claude (and other MCP-compatible LLMs) real-time access to your full marketing, sales, and customer data from 325+ platforms — Google Ads, Meta, TikTok, GA4, HubSpot, Salesforce, Shopify, and more — via your Windsor.ai account. Ask things like "what campaigns had the best ROAS last month?" or "break down spend by channel over the last 90 days" and get structured answers in chat. No SQL, no dashboards, no custom ETL. Setup is one line: paste https://mcp.windsor.ai as a Custom Connector in Claude Desktop (Pro+ plan), or drop the same URL into Cursor, Gemini CLI, or any other MCP-compatible client. Free during beta — requires a Windsor.ai account and API key.
Installation steps
- 1Install: pip install openai-agents
- 2Copy the snippet below into your agent code
- 3Replace placeholder env values with your real keys
- 4Pass mcp_servers=[mcp_server] to your Agent()
Python snippet
from agents import Agent
from agents.mcp import MCPServerStdio
mcp_server = MCPServerStdio(
command="https://mcp.windsor.ai",
args=[],
)
agent = Agent(
name="My Agent",
model="gpt-4o",
mcp_servers=[mcp_server],
)Install in other clients
For maintainers
If you maintain Windsor.ai MCP Server, add this badge to your README to show it's verified on CuratedMCP:
[](https://curatedmcp.com/marketplace/windsorai-mcp-server)