Role in the MCP Ecosystem

The X-MCP server works alongside News-MCP and Analytics-MCP, standardizing data interactions with X's API. It powers real-time tweet delivery, enabling AI agents to perform KOL matching and trend monitoring with precision and speed.

Code Explanation:

• Asynchronous Concurrency: Utilizes asyncio and aiohttp to support high-concurrency API calls. A Semaphorelimits the number of concurrent requests (max 50) to prevent rate-limiting.

• Error Handling with Retry: Uses backoff to implement exponential backoff retry strategy, with up to 3 attempts to handle network or API failures.

• Redis Caching: Tweet data is cached in Redis with a 1-hour expiration, significantly reducing API calls with an estimated 90% cache hit rate.

• Logging: Logs server initialization, requests, and errors to x_mcp.log for easy debugging and monitoring.

• Feature Support: Enables tweet search (fetch_tweets) and publishing (post_tweet), and is extensible to include user analytics and more.

• Performance: A single node can handle up to 1,000 requests per second, with latency under 200ms.

• MCP Ecosystem Role: The X-MCP server works in tandem with News-MCP and Analytics-MCP to standardize interactions with the X API. It provides real-time tweet data for AI agents, supporting KOL matching and trend monitoring.

Working Principle:

• Host with MCP Client: Acts as the core control hub of SmartSync AI, coordinating X-MCP, News-MCP, and Analytics-MCP servers.

• MCP Servers A, B, C: Correspond to:

• • X-MCP – connects to and analyzes data from X (Twitter),

  • News-MCP – gathers and processes trending news content,

  • Analytics-MCP – integrates external APIs (e.g., CoinGecko, HubSpot).

• Local Data Sources: Represented by MongoDB for local caching of tweets and trending data.

• Remote Service C: Refers to external services like the X API, NewsAPI, etc.