Retrieves Wikipedia content for specified topics via an MCP server.
Enables Generative AI applications to access and utilize Wikipedia content by providing an MCP (Model Control Protocol) server. The server, written in Python, fetches content from Wikipedia based on a given topic, making it easy to integrate factual information into language model workflows. It provides a simple API endpoint for querying Wikipedia and returns structured data, including page title, content, and URL. The tool is designed for use with platforms like Cursor Composer, allowing for dynamic integration of Wikipedia knowledge into prompts and responses.