Windsor.Ai MCP Server

Query and analyze marketing, sales, and business data from 325+ platforms via Windsor.ai.

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What is the Windsor.Ai MCP MCP server?

Query and analyze marketing, sales, and business data from 325+ platforms via Windsor.ai. That is what the windsor.ai mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

Windsor MCP (Model Context Protocol) is a hosted MCP server that lets your AI assistant query, explore and analyze live business data from 325+ sources — Meta Ads, Google Ads, TikTok Ads, GA4, HubSpot, Salesforce, Shopify, Stripe, BigQuery, Snowflake and many more — with no SQL, no API keys, and no custom integrations. On connectors that support it, agents can also execute write actions — for example pausing or enabling ad campaigns and adjusting budgets on Meta Ads, Google Ads and TikTok Ads.

Getting it running

Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.

The tools it exposes

The server publishes 2 tools. What each one is for:

  • Prerequisites — The Prerequisites tool exposed by this server
  • Steps — 1. Open the install link above (or go to Settings → Connectors in Claude and search for "Windsor.ai"). 2. You'll be redirected to Windsor.ai to

What it needs from you

  • A Claude account (Claude Desktop, Web, or Code) on a plan that supports connectors - A Windsor.ai account

Things to watch

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How it compares

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Windsor.Ai MCP's toolset — Prerequisites, Steps — is a fair guide to whether it matches your workflow. It is maintained by ai.windsor; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Available tools

ToolWhat it does
PrerequisitesThe Prerequisites tool exposed by this server.
Steps1. Open the install link above (or go to **Settings → Connectors** in Claude and search for "Windsor.ai"). 2. You'll be redirected to Windsor.ai to authorize via OAuth — sign in once. 3. Open a new chat and start asking

How to install the Windsor.Ai MCP MCP server

{
  "mcpServers": {
    "windsor": {
      "command": "npx",
      "args": ["-y", "@google/gemini-cli"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

  • A Claude account (Claude Desktop, Web, or Code) on a plan that supports connectors - A Windsor.ai account

Example prompts to try

  • Use Windsor.Ai MCP to Prerequisites.
  • Use Windsor.Ai MCP to Steps.

Frequently asked questions

It connects Windsor.Ai MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (Prerequisites, Steps) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Windsor.Ai MCP directly.