Which scopes are required for this server?

Your access token must have at least `r_ads_reporting` and `r_ads` scopes to list accounts and fetch performance metrics.

How do I specify the time range for analytics?

You must provide a Restli-formatted string in the `params` field, including `dateRange=(start:(day:X,month:Y,year:Z))`. Refer to LinkedIn API documentation for exact syntax.

Is the API Key (Personal Access Token) supported?

LinkedIn uses OAuth2 tokens. You can generate a long-lived Access Token through the LinkedIn Developer Portal's Token Generator tool for development use.

LinkedIn Ads MCP Server for Cursor 6 tools — connect in under 2 minutes

Name: LinkedIn Ads
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 6 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install LinkedIn Ads and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "linkedin-ads": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About LinkedIn Ads MCP Server

Connect your LinkedIn Ads account to any AI agent to automate your professional marketing analytics and reporting. This MCP server enables your agent to list ad accounts, monitor campaign performance (impressions, clicks, spend), and retrieve conversion data directly from natural language interfaces using the latest LinkedIn REST API version.

Cursor's Agent mode turns LinkedIn Ads into an in-editor superpower. Ask Cursor to generate code using live data from LinkedIn Ads and it fetches, processes, and writes — all in a single agentic loop. 6 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Account Discovery — List all accessible ad accounts and retrieve their current status and IDs
Campaign Monitoring — Query campaign groups and individual campaigns to track your marketing objectives
Performance Querying — Retrieve real-time performance metrics like impressions, clicks, and cost across various pivots (Account, Campaign, Creative)
Creative Oversight — List and inspect individual ad variations and their technical configurations
Conversion Tracking — Retrieve definitions for conversion rules to monitor your return on ad spend (ROAS)

The LinkedIn Ads MCP Server exposes 6 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect LinkedIn Ads to Cursor via MCP

Follow these steps to integrate the LinkedIn Ads MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using LinkedIn Ads

Open Agent mode in chat and ask: "Using LinkedIn Ads, help me..." — 6 tools available

Why Use Cursor with the LinkedIn Ads MCP Server

Cursor AI Code Editor provides unique advantages when paired with LinkedIn Ads through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

LinkedIn Ads + Cursor Use Cases

Practical scenarios where Cursor combined with the LinkedIn Ads MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

LinkedIn Ads MCP Tools for Cursor (6)

These 6 tools become available when you connect LinkedIn Ads to Cursor via MCP:

get_ad_analytics

Requires pivot and dateRange parameters. Query performance metrics (impressions, clicks, spend)

list_ad_accounts

List all accessible LinkedIn Ad Accounts

list_ad_campaigns

List all campaigns for an ad account

list_ad_creatives

List all ad creatives for an ad account

list_campaign_groups

List campaign groups for an ad account

list_conversion_rules

List conversion tracking rules for an account

Example Prompts for LinkedIn Ads in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with LinkedIn Ads immediately.

"List all my LinkedIn Ad accounts."

"Show performance metrics for account ID '500123' for the year 2024."

"List all campaigns associated with my account."

Troubleshooting LinkedIn Ads MCP Server with Cursor

Common issues when connecting LinkedIn Ads to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

LinkedIn Ads + Cursor FAQ

Common questions about integrating LinkedIn Ads MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design — tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.