Connect Bing Ads to Cursor

Windsor.ai gives Cursor access to 238 Bing Ads fields. These are some of the groups; the Bing Ads field reference lists all of them:

• Performance: Spend, Impressions, Clicks, CTR, Conversions, Conversion Rate, Revenue.
• Keywords and searches: Keyword, Search query, Bid Match Type, Quality Score, Keyword Status.
• Impression share: Impression Share Percent, Impression Lost To Budget Percent, Impression Lost To Rank Percent, Click Share Percent.
• Structure: Campaign, Campaign Type, Campaign Status, Ad group, Budget amount, Bid Strategy Type.
• Time and device: Date, Device Type.

Cursor works best when you ask it to build something with a clear output. Each of these names the fields to use and the file or canvas you want back:

• Pull Search query, Campaign, Spend, Clicks and Conversions for the last 90 days. Write a Python script that flags queries with spend above twice the account's average cost per conversion and zero conversions, groups them by their first meaningful word, and writes negative_keywords.csv. Show me the five groups that cost the most.

• Pull Impression Share Percent, Impression Lost To Budget Percent, Impression Lost To Rank Percent, Spend and Conversions by Campaign for the last 30 days. Build a canvas sorted by budget loss, and add a note per campaign on whether it needs more budget or better ad rank.

• Pull Keyword, Ad group, Bid Match Type, Quality Score, Spend and Conversions. List keywords with a Quality Score below 5 that account for the top 20% of spend, grouped by ad group, and save the list as quality_fixes.md.

• Pull Spend, Conversions and Revenue by Device Type and Date for the last 60 days. Build a chart of cost per conversion and revenue per unit of spend by device, and write the device with the weakest return to device_notes.md with the numbers.

• Write a script that compares month-to-date Spend with Budget amount for every active Campaign, projects month-end spend from the daily run rate, and prints the campaigns that will go over budget or finish below 80% of it. Include Bid Strategy Type in the output.

Yes. Cursor can render a dashboard, analysis or report as a canvas next to the chat, and it saves the canvas so you can reopen and rerun it later with fresh data. On paid Cursor plans you can publish a canvas to a read-only share link that members of your Cursor team can open. See the Cursor canvas documentation for the current plan requirements.

Yes. Windsor.ai supports 350+ data sources, so you can connect Bing Ads alongside tools such as Google Ads, GA4 or Shopify and ask Cursor to work with them together. For example, ask Cursor to put Bing Ads Spend and Conversions by campaign next to Google Ads Cost and Conversions, and write a script that compares cost per conversion on both search platforms.

Open Settings in Cursor Desktop, go to Tools & Integrations → New MCP Server, and add Windsor to mcp.json:

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

Save the file, click Authenticate next to Windsor in your MCP list, and sign in to Windsor.ai in the browser.

No. The connection takes no code: connect Bing Ads in Windsor.ai, add Windsor to Cursor’s MCP settings, and sign in. After that you describe what you want in plain language, and Cursor writes and runs the code. You can read and edit everything it produces.

The free forever plan covers 1 data source, so connecting Bing Ads on its own costs nothing and needs no credit card. Combining Bing Ads with other sources, such as Google Ads, needs a paid plan: $19/month for 3 sources or $99/month for 7. Cursor is billed separately by Cursor. See the pricing page.

Yes. These are the resources to start with for the Bing Ads to Cursor integration:

• Bing Ads field reference
• Cursor integration documentation
• Windsor.ai connectors for Cursor