Overview
What is Twitter Trends MCP Server?
Twitter Trends MCP Server is a tutorial-based Model Context Protocol server that connects Twitter’s real-time trending topics with Claude’s analysis capabilities. It fetches current Twitter trends and uses Claude to analyze them for business opportunities, intended for developers using Claude Desktop.
How to use Twitter Trends MCP Server?
Set up a Python 3.8+ virtual environment, install dependencies (tweepy, mcp, python-dotenv, hatchling), obtain Twitter API credentials, configure the server files, and update Claude Desktop’s config (claude_desktop_config.json) to point to the server’s entry point (twitter_server_run.py). Run the server with python twitter_server_run.py and invoke it in Claude Desktop by asking, for example, “Analyze current Twitter trends for SaaS opportunities.”
Key features of Twitter Trends MCP Server
- Real-time Twitter trend fetching
- Category-based trend analysis
- Business opportunity identification
- AI‑powered insights via Claude
- Detailed logging for debugging
Use cases of Twitter Trends MCP Server
- Identifying emerging SaaS opportunities from Twitter trends
- Competitive analysis by monitoring trending topics
- Real‑time market sentiment tracking for specific industries
- Generating business insight reports from live Twitter data
FAQ from Twitter Trends MCP Server
What are the prerequisites for using this server?
Python 3.8 or higher, Claude Desktop, a Twitter Developer Account with API credentials, and basic Python knowledge.
Where is the Claude Desktop configuration file located?
On Windows at %APPDATA%\Claude\claude_desktop_config.json, on macOS at ~/Library/Application Support/Claude/claude_desktop_config.json.
Where are the server logs stored?
Server logs are written to twitter_server.log in the project directory; Claude‑related logs are in %APPDATA%\Claude\Logs\mcp*.log.
What are common issues and how to troubleshoot?
Module‑not‑found errors (check PYTHONPATH), connection errors (verify paths in config), API errors (validate credentials), and server‑not‑responding (check logs). Always use absolute paths and test incrementally.
What runtime dependencies are required?
The server requires Python packages tweepy, mcp, python-dotenv, and the build tool hatchling.
