#wiki

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

A Wikidata MCP to access and query Wikidata.

A Model Context Protocol (MCP) server that provides access to Wikipedia content, prioritizing Simple English Wikipedia with intelligent fallback to regular English Wikipedia when content is unavailable or of poor quality.

Simple Model Context Protocol (MCP) server for Wiki.js

Model Context Protocol (MCP) Server for MediaWiki

Model Context Protocol Server for IQ.wiki

Model Context Protocol (MCP) server for Wiki.js with hierarchical documentation & Docker setup

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

MCP Space is a no-code AI tool builder that simplifies creating and managing AI models using the Model Context Protocol. Join us on GitHub to explore and contribute to this innovative platform! 🐙🌟

The MCP Registry offers a centralized service for managing Model Context Protocol server entries. 🌐 Join us in shaping this project and explore the features through our RESTful API! 🚀

Model Context Protocol (MCP) server for Wiki.js integration via GraphQL API. 📖 Description This project provides an MCP server for interacting with Wiki.js through GraphQL API. MCP (Model Context Protocol) is an open protocol developed by Anthropic that enables AI models to safely interact with external services and tools. The server provides a unified interface for working with Wiki.js that can be used by various AI agents and tools supporting MCP. ✨ Features 📄 Page Management Get Wiki.js pages by ID Get page content Get list of pages with sorting Smart page search (by content, titles, and metadata) Create new pages Update existing pages Delete pages 👥 User Management Get list of users Search users Create new users Update user information 🔧 Group Management Get list of user groups Manage group membership 🌐 Transports STDIO: for editor integration (Cursor, VS Code) HTTP: for web integrations and API access

Skip to content Navigation Menu automateyournetwork Wikipedia_MCP Type / to search Code Issues Pull requests Actions Projects Wiki Security Insights Settings Owner avatar Wikipedia_MCP Public automateyournetwork/Wikipedia_MCP Go to file t Name automateyournetwork automateyournetwork initial 0cd4b24 · 1 minute ago Dockerfile initial 1 minute ago LICENSE Initial commit 2 hours ago README.md initial 1 minute ago main.py initial 1 minute ago requirements.txt initial 1 minute ago Repository files navigation README Apache-2.0 license Wikipedia MCP Server This project provides a Model Context Protocol (MCP) server that exposes structured access to Wikipedia content. It uses the FastMCP framework to define tools for use in AI workflows, agents, or developer environments like Claude and VS Code. ✅ Features 🔍 Search for Wikipedia pages 📄 Retrieve page summary, full content, and HTML 🔗 Extract links, images, references, and categories 📌 Detect disambiguation options 📌 Check if a page exists ⚡ Built on FastMCP — plug into any agent system 🛠 Installation (Local) git clone https://github.com/yourname/wikipedia-mcp-server.git cd wikipedia-mcp-server python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt python wikipedia_mcp_server.py 🛠 Installation (Docker) 🐳 Docker Setup Build the container: docker build -t wikipedia-mcp . Run the server: docker run -it --rm wikipedia-mcp 🛠 Usage 🧠 Available Tools Tool Name Description -------------------- -------------------------------------------------- get_summary Get a summary of a Wikipedia page get_content Get the full content of a Wikipedia page get_html Get the rendered HTML of a Wikipedia page get_images Get a list of image URLs from a Wikipedia page get_links Get a list of internal links from a Wikipedia page get_references Get a list of external references from a Wikipedia page get_categories Get a list of Wikipedia categories get_url Get the direct Wikipedia URL get_title Get the canonical title of a Wikipedia page get_page_id Get the internal Wikipedia page ID search_pages Search for Wikipedia page titles check_page_exists Check if a Wikipedia page exists disambiguation_options Get disambiguation options for ambiguous titles -------------------- -------------------------------------------------- 📁 File Structure . ├── wikipedia_mcp_server.py ├── requirements.txt ├── Dockerfile ├── README.md 💻 VS Code / Claude MCP Integration Add this to your .vscode/settings.json or Claude configuration to launch this server using MCP: ✅ For Local Python Execution { "mcp": { "servers": { "wikipedia": { "type": "stdio", "command": "python3", "args": [ "/absolute/path/to/wikipedia_mcp_server.py" ] } } } } 🐳 For Docker Execution { "mcp": { "servers": { "wikipedia": { "type": "stdio", "command": "docker", "args": [ "run", "--rm", "-i", "--mount", "type=bind,src=${workspaceFolder},dst=/workspace", "wikipedia-mcp" ] } } } } About A Model Context Protocol (MCP) Server for Wikipedia Resources Readme License Apache-2.0 license Activity Stars 1 star Watchers 1 watching Forks 0 forks Releases No releases published Create a new release Packages No packages published Publish your first package Languages Python 96.6% Dockerfile 3.4% Suggested workflows Based on your tech stack Python application logo Python application Create and test a Python application. Python package logo Python package Create and test a Python package on multiple Python versions. Python Package using Anaconda logo Python Package using Anaconda Create and test a Python package on multiple Python versions using Anaconda for package management. More workflows Footer © 2025 GitHub, Inc. Footer navigation Terms Privacy Security Status Docs Contact Manage cookies Do not share my personal information

Mirror of

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

A MCP Server that gives you latest docs and data from the web

🌟 Wiki of OI / ICPC for LLMs. （面向大模型的某大型游戏线上攻略，内含炫酷算术魔法）

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

Better MCP wikipedia. algonacci's version cannot return page content properly.

MCP Server For Requarks

A custom Model Context Protocol (MCP) adapter for interacting with MediaWiki and WikiBase APIs. This adapter allows you to fetch and edit MediaWiki pages programmatically using the MCP framework.

Model Context Protocol (MCP) server made for interacting with Wikimedia APIs

Wikipedia MCP Server written in TypeScript

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.

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.

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.

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!

A server implementation for Wikidata API using the Model Context Protocol (MCP).

Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP interface.

Mirror of

MCP server to give client the ability to access Wikipedia pages

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

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

An MCP server for interacting with Wikimedia APIs. Access Wikipedia and other Wikimedia project content programmatically.