DataLikers MCP Server

MCP server for DataLikers — access Instagram & TikTok data directly from Claude, Cursor, and other AI assistants. Available on npm: datalikers-mcp.

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What is DataLikers?

DataLikers is an Instagram & TikTok data API platform. Search users by demographics, analyze engagement, explore hashtags, and more — all through a simple API. From $0.0003 per request.

Available Tools (29)

Users (10 tools)

| Tool | Description | |------|-------------| | get_user_by_username | Get user profile by Instagram username | | get_user_by_id | Get user profile by Instagram ID | | search_users | Search for users by query | | get_users_by_hashtag | Find users associated with a hashtag | | get_users_by_location | Find users by location | | get_top_users | Get top users by followers | | get_business_users | Get business accounts by category | | search_users_by_demographics | Search by gender, age, race, emotion, country, city, and more | | get_user_photo | Get user profile photo (returns actual image) | | get_user_engagement | Get average likes/comments per post |

Media & Posts (4 tools)

| Tool | Description | |------|-------------| | get_user_medias | Get user's posts and reels | | get_top_medias | Get top posts by likes or comments | | search_media_captions | Search posts by caption text | | get_media_by_code | Get post by Instagram shortcode |

Comments (2 tools)

| Tool | Description | |------|-------------| | get_comments_by_user | Get comments left by a user | | search_comments | Search comments by text |

Hashtags (3 tools)

| Tool | Description | |------|-------------| | get_hashtag_info | Get hashtag details and post count | | search_hashtags | Search hashtags by query | | get_top_hashtags | Get trending hashtags |

Locations (2 tools)

| Tool | Description | |------|-------------| | get_location_info | Get location details | | search_locations | Search locations by name |

Stories & Highlights (4 tools)

| Tool | Description | |------|-------------| | get_user_stories | Get user's active stories | | get_story_by_id | Get a specific story | | get_user_highlights | Get user's highlights | | get_highlight_by_id | Get a specific highlight |

Music (3 tools)

| Tool | Description | |------|-------------| | search_tracks | Search music tracks used in reels | | get_track_by_id | Get track details | | get_top_tracks | Get trending tracks |

Analytics (1 tool)

| Tool | Description | |------|-------------| | get_stats | Get database statistics (total users, posts, comments, etc.) |

Quick Start

1. Get your API key at datalikers.com
2. Install in your AI assistant (see below)
3. Ask Claude: "Find Instagram users in New York with 10k+ followers"

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "datalikers": {
      "command": "npx",
      "args": ["-y", "datalikers-mcp"],
      "env": {
        "DATALIKERS_API_KEY": "your-api-key"
      }
    }
  }
}

Claude Code

claude mcp add datalikers -- npx -y datalikers-mcp \
  --env DATALIKERS_API_KEY=your-api-key

Cursor

Add to Cursor MCP settings (.cursor/mcp.json):

{
  "mcpServers": {
    "datalikers": {
      "command": "npx",
      "args": ["-y", "datalikers-mcp"],
      "env": {
        "DATALIKERS_API_KEY": "your-api-key"
      }
    }
  }
}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "datalikers": {
      "command": "npx",
      "args": ["-y", "datalikers-mcp"],
      "env": {
        "DATALIKERS_API_KEY": "your-api-key"
      }
    }
  }
}

Configuration

| Environment Variable | Description | Required | |---------------------|-------------|----------| | DATALIKERS_API_KEY | Your DataLikers API key | Yes | | DATALIKERS_URL | Custom server URL (for self-hosted instances) | No |

Development

git clone https://github.com/subzeroid/datalikers-mcp.git
cd datalikers-mcp
npm install
npm run build

Run tests:

DATALIKERS_API_KEY=your-key npm test

Tests without DATALIKERS_API_KEY will skip integration tests and only run unit tests.

How It Works

This is a thin proxy that connects to the DataLikers remote MCP server and exposes all its tools locally via stdio transport. No data processing happens locally — all requests are forwarded to the DataLikers API.

AI Assistant ←stdio→ datalikers-mcp ←https→ DataLikers API

License

MIT