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Xpoz MCP is a server that enables Claude and LLMs to query Twitter/X, Instagram, TikTok, and Reddit data through natural language. Access 1.5B+ indexed social media posts with advanced filtering, smart caching, and OAuth 2.1 authentication. Perfect for social listening, brand monitoring, competitive analysis, and building AI agents with social awareness.

Accessing social media data has traditionally required expensive API subscriptions, complex authentication, rate limit management, and custom integration code. Twitter's API alone costs $100-$5,000/month with strict quotas. Building social-aware AI agents meant wrestling with multiple APIs, each with different authentication methods, data formats, and rate limits.

The Solution

Xpoz MCP provides a single, unified interface to search and analyze Twitter/X, Instagram, TikTok, and Reddit through natural language. Simply ask Claude questions like "What are people saying about [brand] on Twitter?" or "Show me trending topics in [industry] on Reddit" and get structured, actionable data.

Key Capabilities
  • No API Keys Required - OAuth 2.1 authentication through your Google account in 2 minutes
  • 1.5B+ Posts Indexed - Comprehensive historical data across all four platforms
  • Natural Language Queries - No coding required, just ask questions
  • Advanced Filtering - Filter by date, author, language, engagement metrics, and more
  • Smart Caching - Intelligent caching with automatic invalidation
  • MCP 2025 Compliant - Streamable HTTP, event resumption, field selection, pagination
Use Cases
  • Social Listening - Monitor brand mentions and analyze sentiment in real-time
  • Competitive Intelligence - Track competitor activity and benchmark performance
  • Research & Analysis - Academic research, trend analysis, and network mapping
  • AI Agent Development - Build agents that understand social context and respond to current events
  • Marketing Intelligence - Track campaign performance and influencer impact
  • Threat Detection - Identify bot networks and coordinated manipulation campaigns
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