How to Use the LinkedIn Ads MCP in Cursor
Build custom reporting scripts and audit creative performance with live LinkedIn Ads data inside Cursor.
Works with every AI agent you already use
…and any MCP-compatible client
Connect LinkedIn Ads MCP to Cursor
Create your Vinkius account to connect LinkedIn Ads to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Generate production-ready code with live campaign data
`list_ad_campaigns` retrieves live campaign objects directly into your Cursor chat. When you write custom reporting dashboards, the Agent mode uses real API payloads instead of static mock files, so your code works the first time you run it. This means you can build internal tools without guessing the JSON structure of the LinkedIn API. The agent queries your live setup, identifies the exact fields returned, and writes clean TypeScript or Python that matches the actual API response.
Build real-time analytics engines using the MCP Server
`get_ad_analytics` fetches raw performance metrics including clicks, spend, and impressions directly within your editor. You can tell the Cursor agent to write a script that aggregates this data and test it instantly against real-time numbers. Instead of jumping back and forth to your browser, you stay in your workspace. The MCP Server provides the raw data feed, letting you debug pagination and date filters using actual account metrics.
Inspect conversion rules and ad creatives inline
`list_ad_creatives` displays the exact creative details and text assets of your running ads directly inside Cursor. Your agent can scan these assets for broken links or outdated messaging and suggest immediate code-level fixes. It also uses `list_conversion_rules` to pull tracking configurations. This lets you write verification scripts that ensure your conversion pixels align with the active rules in your ad account.
Set up LinkedIn Ads MCP in Cursor
Prerequisites
- Cursor installed (macOS, Windows, or Linux)
- Active Vinkius subscription with a valid endpoint token
- 1
Open MCP Settings
Go to Cursor Settings → MCP or open the Command Palette (
Cmd+Shift+P/Ctrl+Shift+P) and search for "MCP: Add Server". - 2
Add the LinkedIn Ads MCP
Cursor will create or open
.cursor/mcp.jsonin your project root. Paste the JSON snippet on the right. Replace[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. - 3
Enable Agent mode
Open Composer (
Cmd+I/Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode. - 4
Verify the connection
Ask Cursor something like "List my recent LinkedIn Ads transactions." If the MCP tools are loaded correctly, Cursor will call the LinkedIn Ads tools automatically. You can also check Settings → MCP for a green status indicator.
{
"mcpServers": {
"linkedin-ads-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
} Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LinkedIn Ads. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Real-time monitoring
Live
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about LinkedIn Ads MCP in Cursor
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the LinkedIn Ads MCP today
We host it, we monitor it, we maintain it. You just paste one token.