Windsor.ai MCP Server

Created By
windsor-aia month ago
Query your marketing, sales, and customer data in plain English — across 325+ sources via Windsor.ai. Connects Claude, Cursor, and other MCP-compatible LLMs to Google Ads, Meta, TikTok, GA4, HubSpot, Salesforce, Shopify, and more, with no SQL or ETL required.
Overview

Windsor.ai MCP Server

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 Ads, TikTok Ads, GA4, HubSpot, Salesforce, Shopify, Search Console, Looker Studio, and more — via your Windsor.ai account.

What you can ask

  • "What campaigns had the best ROAS last month?"
  • "Break down spend by channel over the last 90 days."
  • "Are any campaigns wasting budget vs target ROAS?"
  • "Compare Meta vs Google Ads CPA for Q2."

Get structured answers in chat. No SQL, no dashboards, no custom ETL.

  1. Open Claude Desktop → Settings → Connectors → Add custom connector
  2. Paste the URL: https://mcp.windsor.ai
  3. In a new chat, start with: My Windsor.ai API key is {your-key}. {your question}
  4. Accept connector permissions and start querying.

Requires Claude Pro or higher for custom connectors.

Setup (Cursor, Gemini CLI, lower-tier Claude)

Add to your MCP config:

{
  "mcpServers": {
    "windsor": {
      "url": "https://mcp.windsor.ai"
    }
  }
}

Pricing

Free during beta. Requires a Windsor.ai account and API key.

Server Config

{
  "mcpServers": {
    "windsor": {
      "url": "https://mcp.windsor.ai"
    }
  }
}
Project Info
Created At
a month ago
Updated At
a month ago
Author Name
windsor-ai
Star
-
Language
-
License
-
Category

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

8 hours ago
Linkpulse

11 hours ago
Tavily Mcp
@tavily-ai

JavaScript
a year ago
Shippo
@Shippo

16 hours ago