Social Media MCP Server

# Project Brief: Social Media MCP Server ## Project Overview The Social Media MCP Server is a Model Context Protocol (MCP) server that connects to multiple social media platforms, allowing users to create and publish content across platforms through natural language instructions. The server handles research, content creation, formatting, and posting, optimizing for each platform's requirements. ## Core Requirements 1. **Platform Integration** - Connect to Twitter/X API - Connect to Mastodon API - Expandable architecture for future platforms 2. **Natural Language Interface** - Accept natural language instructions for post creation - Parse intent, tone, and content requirements - Support complex requests (e.g., "Post about the new AI developments") 3. **Research Capabilities** - Find relevant hashtags - Gather statistics and facts - Identify trending topics - Summarize news articles - Utilize Brave Search and Perplexity for comprehensive research 4. **Content Generation** - Create platform-appropriate content - Generate or suggest images - Create thread-style posts for longer content - Suggest engagement questions - Utilize multiple AI models (OpenAI, Anthropic, DeepSeek, Grok, etc.) 5. **Platform-Specific Formatting** - Format posts according to each platform's requirements - Handle character limits - Support media attachments - Create threads when necessary 6. **Analytics and Optimization** - Track post performance - Analyze engagement metrics - Optimize posting times - Adjust content strategy based on performance 7. **Rate Limit Management** - Handle API rate limits gracefully - Implement request queuing - Use caching strategies - Provide fallback mechanisms ## Success Criteria - Users can create posts for multiple platforms with a single natural language instruction - Content is appropriately researched, formatted, and optimized for each platform - The system handles rate limits without disrupting user experience - Analytics provide actionable insights for content optimization - The architecture is extensible for adding new platforms and features ## Constraints - Must adhere to platform API terms of service - Must handle rate limits effectively - Must secure API credentials - Must provide appropriate error handling and feedback ## Timeline - Phase 1: Setup and Core Infrastructure - Phase 2: Platform Integration (Twitter and Mastodon) - Phase 3: Research Capabilities with Brave and Perplexity - Phase 4: Multi-model Content Generation - Phase 5: Analytics and Optimization