Wikipedia
Retrieves Wikipedia content for specified topics via an MCP server.
About
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.
Key Features
- Provides a simple HTTP API for accessing Wikipedia content
- 1 GitHub stars
- Returns data in a structured JSON format
- Supports querying Wikipedia by topic
- Integrates with Cursor Composer for generative AI workflows
- Easy to set up and deploy using Python
Use Cases
- Enhancing chatbot responses with factual information from Wikipedia
- Generating content summaries based on Wikipedia articles
- Providing context to language models using real-world knowledge