Connect LinkedIn Pages to Cursor

Windsor.ai gives Cursor access to 190 LinkedIn Pages fields. These are some of the groups; the LinkedIn Pages field reference lists all of them:

• Posts: Share Text, Share Created Time, Share Post Type, Share/Post Impression Count, Share/Post Unique Impressions Count, Share/Post Clicks Count, Share/Post Like Count, Share/Post Comment Count, Share/Post Engagement Rate.
• Video posts: Share/Post Video Views, Share/Post Video Viewers, Share/Post Video Watch Time (ms).
• Followers: Organic growth of the organization’s followers per day, Follower Counts by Industry, Follower Counts by Seniority, Follower Counts by Country, Follower Counts by Function.
• Page views: All Page Views, All Unique Page Views, Careers Page Views, Jobs Page Views.

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 Share Text, Share Created Time, Share/Post Impression Count, Share/Post Clicks Count, Share/Post Like Count, Share/Post Comment Count and Share/Post Engagement Rate for posts from the last 90 days. Build a canvas that ranks posts by engagement rate, shows the first 80 characters of each post, and marks posts with fewer than 500 impressions.

• Pull Share Post Type, Share/Post Impression Count, Share/Post Engagement Rate, Share/Post Video Views and Share/Post Video Watch Time (ms) for this quarter. Build a chart of median engagement rate by post type, and for video posts calculate average watch time in seconds per view.

• Pull Follower Counts by Seniority, Follower Counts by Industry, Follower Counts by Function and Follower Counts by Country. Build a canvas with one bar chart per dimension, top 10 values each, and write the three largest groups to audience.md.

• Pull Organic growth of the organization's followers per day, All Page Views and Careers Page Views by Date for the last 6 months. Write a Python script that sums them by week, plots followers gained against page views, and saves the weekly table to page_growth.csv.

• Write a monthly page report as linkedin_page.md: total Share/Post Impression Count, average Share/Post Engagement Rate, followers gained, All Page Views and the five posts with the most clicks. Keep the script in the project so I can rerun it each month.

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 LinkedIn Pages alongside tools such as LinkedIn Ads, GA4 or HubSpot and ask Cursor to work with them together. For example, ask Cursor to put LinkedIn Pages Share/Post Impression Count by week next to LinkedIn Ads Impressions for the same weeks, and build one chart of organic and paid reach.

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 LinkedIn Pages 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 LinkedIn Pages on its own costs nothing and needs no credit card. Combining LinkedIn Pages with other sources, such as LinkedIn 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 LinkedIn Pages to Cursor integration:

• LinkedIn Pages field reference
• Cursor integration documentation
• Windsor.ai connectors for Cursor