#wikipedia

A FastAPI-MCP server that fetches Wikipedia summaries for AI assistants, deployed using Google Colab and Ngrok.

Automatically generate an MCP Server from existing source code, service classes, helper methods, and external MCP tools. The MCP Mediator aggregates various sources and tools into a unified system, enabling seamless automatic generation of a complete MCP Server.

MCP server to give client the ability to access Wikipedia pages

A lightweight implementation of the Model Context Protocol (MCP) server using Server-Sent Events. Features a Wikipedia article parser that converts content to Markdown format. Demonstrates client-server MCP communication over HTTP.

An MCP (Model Context Protocol) server that fetches and summarizes Wikipedia articles using Ollama LLMs, accessible via both command-line and Streamlit interfaces. Perfect for quickly extracting key information from Wikipedia without reading entire articles.

Wikipedia MCP Server written in TypeScript

An MCP server enabling AI assistants or agents to search Wikimedia Commons images with metadata and visual thumbnails.

A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.

Minimal TypeScript-based HTTP server exposing Wikipedia search and page retrieval via MediaWiki API

OpenEdu MCP Server for educational resources and curriculum planning, integrates with OpenLibrary, Wikipedia and arXiv

A simple MCP Server in Python for working with Wikipedia topic content in a GenAI context

A MCP server that allows you to search and retrieve content on any wiki site using MediaWiki with LLMs 🤖 wikipedia.org, fandom.com, wiki.gg and more sites using Mediawiki are supported!