Social Media Analytics

An MCP (Model Context Protocol) server for social media analysis and marketing optimization. Analyze profiles, research hashtags, generate content calendars, benchmark competitors, and score content for viral potential -- all from your AI assistant.

Pricing

| Plan | Price | Features | |------|-------|----------| | Basic | $10/mo | Profile analysis, hashtag research, viral scoring — Buy → | | Pro | $15/mo | Everything in Basic + content calendars, competitor analysis, priority support — Buy → |

Free trial: 3 calls total (shared across all tools), no credit card. License keys are emailed instantly after checkout. Activate via the LICENSE_KEY environment variable. More info: aivp-mcp.vercel.app

Features

• Profile Analysis -- Scrape and analyze any public social media profile across Twitter/X, Instagram, YouTube, LinkedIn, and TikTok
• Hashtag Research -- Estimate popularity, competition level, related hashtags, and get platform-specific recommendations
• Content Calendar -- Generate 30-day content calendars with post ideas, captions, optimal timing, and hashtag suggestions
• Competitor Analysis -- Side-by-side comparison of 2-5 competitors with follower, engagement, and strategy benchmarks
• Viral Scoring -- Score any post concept 0-100 for virality potential with emotional triggers and improvement suggestions

Installation

No install step needed — run straight from npm:

npx -y social-media-analytics

Or install globally:

npm install -g social-media-analytics

Configure with Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "social-media-analytics": {
      "command": "npx",
      "args": ["-y", "social-media-analytics"],
      "env": { "LICENSE_KEY": "<your license key — omit for free trial>" }
    }
  }
}

Configure with Claude Code

claude mcp add social-media-analytics -- npx -y social-media-analytics

Run with SSE transport (Streamable HTTP)

# Start the SSE server (default port 3000)
npx -y social-media-analytics --sse

# Or specify a custom port
PORT=8080 npx -y social-media-analytics --sse

The Streamable HTTP endpoint is available at http://localhost:3000/mcp.

Tools

analyze_profile

Analyze a social media profile from its URL. Extracts publicly available data including profile name, bio, follower count, post frequency, engagement rate, and content themes.

Input:

{
  "url": "https://twitter.com/elonmusk"
}

Supported platforms: Twitter/X, Instagram, YouTube, LinkedIn, TikTok

analyze_hashtags

Analyze hashtags for estimated popularity, related tags, best posting times, competition level, and platform-specific recommendations.

Input:

{
  "hashtags": ["#ai", "#startup", "#buildinpublic"],
  "platforms": ["twitter", "linkedin"]
}

generate_content_calendar

Generate a 30-day content calendar with post ideas, captions, optimal posting times, content mix recommendations, and hashtag suggestions.

Input:

{
  "niche": "AI startups",
  "platforms": ["twitter", "linkedin", "instagram"],
  "posts_per_week": 5
}

analyze_competitors

Compare 2-5 competitor profiles side-by-side with follower comparison, content strategy analysis, posting frequency, and engagement benchmarks.

Input:

{
  "competitors": [
    "https://twitter.com/competitor1",
    "https://twitter.com/competitor2",
    "https://twitter.com/competitor3"
  ]
}

viral_score

Score post text or concepts for virality potential (0-100). Identifies emotional triggers, shareability factors, and provides improvement suggestions with platform-specific optimization tips.

Input:

{
  "text": "Stop scrolling. Here are 5 things I wish I knew before starting my SaaS business:\n\n1. Your first 100 users matter more than your next 10,000\n2. Ship weekly, not monthly\n3. Talk to users every single day\n4. Pricing is a feature\n5. Distribution > Product\n\nWhich one resonates most?",
  "platform": "linkedin"
}

Platform Support

| Platform | Profile Analysis | Hashtag Research | Content Calendar | Competitor Analysis | |----------|:---:|:---:|:---:|:---:| | Twitter/X | Yes | Yes | Yes | Yes | | Instagram | Yes | Yes | Yes | Yes | | YouTube | Yes | Yes | Yes | Yes | | LinkedIn | Yes | Yes | Yes | Yes | | TikTok | Yes | Yes | Yes | Yes |

How It Works

The server uses web scraping (basic HTML fetch + parsing) for publicly available data. No API keys or social media account connections required.

When live scraping is blocked (common with social media sites that require JavaScript rendering), the server falls back to intelligent estimation based on handle heuristics and platform benchmarks.

This makes the server:

• No API keys needed -- works out of the box
• Privacy-friendly -- no persistent data storage
• Platform-agnostic -- works with all major social platforms
• Always available -- no rate limits or API dependencies

License

MIT