@maheidem/linkedin-mcp/examples/linkedin-mcp-demo.js

Comprehensive LinkedIn API MCP server with automatic Claude configuration

#!/usr/bin/env node

const { spawn } = require('child_process');

async function callLinkedIn(toolName, args = {}) {
  const process = spawn('npx', ['-y', '--package=@maheidem/linkedin-mcp', 'linkedin-mcp-server'], {
    stdio: ['pipe', 'pipe', 'pipe']
  });

  const request = JSON.stringify({
    jsonrpc: '2.0',
    id: Math.floor(Math.random() * 1000),
    method: 'tools/call',
    params: {
      name: toolName,
      arguments: args
    }
  });

  process.stdin.write(request + '\n');
  process.stdin.end();

  let response = '';
  
  process.stdout.on('data', (data) => {
    response += data.toString();
  });

  await new Promise((resolve) => {
    process.on('close', () => resolve());
  });

  const lines = response.split('\n');
  const resultLine = lines.find(line => line.startsWith('{"result"'));
  
  if (resultLine) {
    const result = JSON.parse(resultLine);
    const data = JSON.parse(result.result.content[0].text);
    return data;
  }

  return null;
}

async function demoLinkedInMCP() {
  console.log('🎯 LinkedIn MCP Complete Demo\n');
  console.log('This demonstrates all working LinkedIn MCP functions:\n');

  // Demo 1: LinkedIn Headlines
  console.log('📝 1. LINKEDIN HEADLINE GENERATION');
  console.log('   Input: Principal ML Engineer with Python, TensorFlow, AWS skills');
  const headlines = await callLinkedIn('linkedin_generate_optimized_content', {
    contentType: 'headline',
    currentRole: 'Principal ML Engineer',
    skills: ['Python', 'TensorFlow', 'AWS', 'MLOps'],
    industry: 'Technology',
    tone: 'professional'
  });
  
  if (headlines) {
    console.log('   ✅ Generated Headlines:');
    headlines.generatedContent.options.forEach((headline, i) => {
      console.log(`      ${i + 1}. ${headline}`);
    });
    console.log('   💡 Tips:', headlines.generatedContent.tips.join(', '));
  }

  // Demo 2: LinkedIn Posts  
  console.log('\n🚀 2. LINKEDIN POST GENERATION');
  console.log('   Input: ML Engineer discussing AI trends');
  const posts = await callLinkedIn('linkedin_generate_optimized_content', {
    contentType: 'post',
    currentRole: 'ML Engineer',
    skills: ['AI', 'Machine Learning', 'Python'],
    industry: 'Technology'
  });
  
  if (posts) {
    console.log('   ✅ Generated Posts:');
    posts.generatedContent.posts.forEach((post, i) => {
      console.log(`      ${i + 1}. ${post}`);
    });
  }

  // Demo 3: Profile Summary
  console.log('\n📋 3. LINKEDIN SUMMARY GENERATION');
  console.log('   Input: Senior engineer with leadership experience');
  const summary = await callLinkedIn('linkedin_generate_optimized_content', {
    contentType: 'summary',
    currentRole: 'Senior ML Engineer',
    skills: ['Python', 'Leadership', 'MLOps'],
    achievements: ['Led team of 10', 'Increased model accuracy by 25%'],
    tone: 'professional'
  });
  
  if (summary) {
    console.log('   ✅ Generated Summary:');
    console.log(`      "${summary.generatedContent.summary}"`);
  }

  // Demo 4: Profile Analysis
  console.log('\n🔍 4. LINKEDIN PROFILE ANALYSIS');
  console.log('   Input: Sample profile data for analysis');
  const analysis = await callLinkedIn('linkedin_analyze_profile_from_data', {
    name: 'Marcos Heidemann',
    currentHeadline: 'Principal ML Engineer',
    currentSummary: 'Building scalable ML systems with Python and TensorFlow',
    skills: ['Python', 'TensorFlow', 'AWS', 'MLOps', 'Leadership'],
    industry: 'Technology',
    experience: '10+ years'
  });
  
  if (analysis) {
    console.log('   ✅ Profile Analysis Results:');
    console.log(`      Completeness: ${analysis.analysis.profileCompleteness}%`);
    console.log(`      Optimization Opportunities: ${analysis.analysis.optimizationOpportunities.join(', ')}`);
  }

  // Demo 5: OAuth URL Generation
  console.log('\n🔐 5. OAUTH URL GENERATION');
  console.log('   Generating fresh LinkedIn authentication URL...');
  const auth = await callLinkedIn('linkedin_get_auth_url', {
    state: 'demo-test'
  });
  
  if (auth) {
    console.log('   ✅ OAuth URL Generated Successfully');
    console.log(`      URL: ${auth.authorizationUrl.substring(0, 80)}...`);
    console.log('   📋 Ready for authentication flow');
  }

  // Summary
  console.log('\n🎉 LINKEDIN MCP STATUS SUMMARY');
  console.log('   ✅ Package installed and working via npx');
  console.log('   ✅ Content generation (headlines, posts, summaries)');
  console.log('   ✅ Profile analysis and optimization');
  console.log('   ✅ OAuth URL generation');
  console.log('   ✅ Claude MCP integration configured');
  console.log('   ✅ All 13 LinkedIn tools available');
  
  console.log('\n📋 AUTHENTICATED FUNCTIONS (require valid access token):');
  console.log('   🔐 linkedin_create_post - Create LinkedIn posts');
  console.log('   🔐 linkedin_get_user_info - Get profile information');
  console.log('   🔐 linkedin_get_feed - Get LinkedIn feed');
  console.log('   🔐 linkedin_get_user_posts - Get your posts');
  console.log('   🔐 linkedin_create_optimized_post - AI-generated posts');
  console.log('   🔐 linkedin_post_profile_update - Announcement posts');
  console.log('   🔐 linkedin_get_post_details - Post analytics');
  console.log('   🔐 linkedin_get_post_comments - Post comments');
  console.log('   🔐 linkedin_get_user_activity - User activity');

  console.log('\n🚀 LINKEDIN MCP IS FULLY OPERATIONAL!');
  console.log('\n💡 Next Steps:');
  console.log('   1. Use content generation tools immediately (no auth required)');
  console.log('   2. For posting/feed access, complete LinkedIn OAuth setup');
  console.log('   3. Available via: npx -y --package=@maheidem/linkedin-mcp linkedin-mcp-server');
  console.log('   4. Integrated with Claude Code MCP system');
}

demoLinkedInMCP().catch(console.error);