The Wikipedia MCP Server is a tool that provides Wikipedia information query services for large language models. It enables real - time data access through a standardized protocol interface and includes functions such as searching, article retrieval, and summary generation.

An MCP server project that provides the function of accessing Wikipedia pages.

This project is a collection of MCP tools for Claude, including three servers for news search, Wikipedia query, and data analysis, used to extend Claude's capabilities.

A Wikipedia search service based on the MCP protocol, providing a structured interface for AI to access Wikipedia content.

An MCP server that interacts seamlessly with the Wikipedia API, supporting searching and retrieving wiki content, suitable for multiple wiki sites.

A server that provides Wikipedia API interaction services through the MCP protocol

An MCP server project based on the Ollama LLM model, providing Wikipedia article retrieval and summary generation functions, including a command-line client and a Streamlit web interface.

The Data Dictionary MCP project is a tool that uses the MCP protocol to coordinate AI agents and automatically convert multiple database formats into a Wikipedia-style data dictionary.

An MCP server based on HTTP SSE, providing the function of scraping Wikipedia articles and converting them into Markdown.

A Wikipedia article content extraction tool based on FastMCP that can convert articles to Markdown format.

An MCP server based on FastAPI for obtaining Wikipedia summaries, supporting AI assistant interaction, and can be quickly deployed via Google Colab and Ngrok.

This is an extended project based on the AWS sample code repository, adding example functionality for PostgreSQL database connection and Wikipedia web search.

The OpenEdu MCP Server is a comprehensive educational resource protocol server that integrates multiple educational APIs (such as Open Library, Wikipedia, Dictionary, and arXiv). It provides intelligent search and grading filtering functions for books, articles, definitions, and research papers, and supports curriculum planning for K - 12 and college courses.

The Valyu MCP Server is an AI model context protocol tool that can obtain high-quality context data through the Valyu API, supporting Wikipedia, arXiv papers, and web searches.

An MCP server based on FastAPI for obtaining Wikipedia summaries, supporting AI assistant interaction, and can be quickly deployed via Google Colab and Ngrok.

An MCP server for searching and obtaining images from Wikimedia Commons, providing image search and metadata retrieval functions, especially suitable for scenarios where compliant use of public domain images is required.

A microservice project based on FastMCP, providing search tools for Wikipedia and Arxiv academic papers, and supporting interaction with language models such as Claude through the MCP protocol.