scrape-badger/scrapebadger-mcp
π MCP Serverscrape-badger
An MCP server providing seamless access to Twitter/X data via the ScrapeBadger API.
The ScrapeBadger MCP server acts as a specialized bridge between AI agents and the ScrapeBadger API, specifically tailored for Twitter/X data extraction. It leverages the Model Context Protocol (MCP) to provide a standardized interface for LLMs to query social media information without complex manual scraping logic. Key features include the ability to retrieve detailed user profiles, parse tweet content, extract follower lists, monitor trending topics, and access community-specific data. This tool is designed for developers who need to integrate real-time social intelligence into their AI workflows. By abstracting the complexities of the ScrapeBadger API, it allows agents to perform data-driven tasks such as sentiment analysis, trend monitoring, and user research directly within their operational context. The implementation is lightweight, modular, and adheres to the MCP standard, ensuring compatibility with various AI clients and development environments.
π‘Highlights
- ββStandardized Twitter/X data access
- ββReal-time profile and tweet parsing
- ββSeamless MCP integration
π―For
- ββAI developers
- ββData analysts
πLinks
- ββGitHub Repository