MCP (Model Context Protocol) 서버는 Claude AI를 활성화하고 LinkedIn Ads 데이터를 분석합니다. 마케팅 최적화, 성능보고 및 데이터 기반 광고 결정에 AI를 활용하려는 시장, 설립자 및 성장 팀에 내장.

[!팁] ** 어떤 설정없이이 필요? ** 같은 저자에서: AdPlug 호스팅 LinkedIn Ads MCP입니다. OAuth (LINK 개발자 앱 없음, 관리 할 자격 증명 없음)과 로그인하여 Claude, ChatGPT 또는 Cursor를 약 2 분간 연결하고 Google Ads 및 Microsoft Ads를 동일한 커넥터에 연결하십시오. 도구가 무료 읽기; 모든 쓰기는 실행하기 전에 미리 표시됩니다. 이 오픈 소스 서버는 무료 및 자체 호스팅을 유지합니다.

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빠른 설치 (필수 코딩 없음!)

** 기술 물건을 처리하고 싶지 않습니까? ** 아래 프롬프트 중 하나를 복사하고 Claude로 붙여 넣으십시오. AI는 당신을 위해 모든 것을 할 것입니다!

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Option 1: Claude Code 설치 (추천)

Claude Code가 설치된 경우, 이 전체 프롬프트를 복사하고 붙여 넣으십시오.

Claude Code 설치 프롬프트를 확장하려면

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Option 2: Claude 데스크톱 설치 (Chat 기반)

LinkedIn Ads MCP Server

An MCP (Model Context Protocol) server that enables Claude AI to access and analyze your LinkedIn Ads data. Built for marketers, founders, and growth teams who want to leverage AI for campaign optimization, performance reporting, and data-driven advertising decisions.

[!TIP] Want this without any setup? From the same author: AdPlug is the hosted LinkedIn Ads MCP. Sign in with OAuth (no LinkedIn developer app, no credentials to manage), connect Claude, ChatGPT, or Cursor in about two minutes, and get Google Ads and Microsoft Ads on the same connector. Read tools are free; every write is previewed before it runs. This open-source server stays free and self-hosted.

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Quick Install (No Coding Required!)

Don’t want to deal with technical stuff? Just copy one of the prompts below and paste it into Claude. The AI will do everything for you!

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Option 1: Install with Claude Code (Recommended)

If you have Claude Code installed, just copy and paste this entire prompt:

I want you to install the LinkedIn Ads MCP server so I can analyze my LinkedIn advertising data. Please do the following:

1. FIRST, check if Node.js is installed by running `node --version`. If not installed, tell me to install it from https://nodejs.org first.

2. Clone the repository to my home directory:
   - cd ~
   - git clone https://github.com/danielpopamd/linkedin-ads-mcp.git
   - cd linkedin-ads-mcp

3. Install dependencies and build:
   - npm install
   - npm run build

4. Create the .env file with placeholder values:
   - cp .env.example .env

5. NOW IMPORTANT - Ask me for my LinkedIn API credentials:
   - Ask: "Please provide your LinkedIn Client ID (from https://www.linkedin.com/developers/apps)"
   - Ask: "Please provide your LinkedIn Client Secret"

6. Update the .env file with the credentials I provide.

7. Set up Claude Desktop configuration:
   - Read the current Claude Desktop config file:
     - macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
     - Windows: %APPDATA%/Claude/claude_desktop_config.json
   - Add the linkedin-ads MCP server to mcpServers (merge with existing config if any):
     {
       "mcpServers": {
         "linkedin-ads": {
           "command": "node",
           "args": ["/linkedin-ads-mcp/dist/index.js"],
           "env": {
             "LINKEDIN_CLIENT_ID": "",