MCP.directory
Wikipedia

Wikipedia

timjuenemann

Searches Wikipedia and retrieves full articles in clean Markdown format, giving AI assistants access to accurate encyclopedia information without hallucination.

Provides a structured interface for searching and retrieving Wikipedia articles in clean Markdown format, enabling access to up-to-date encyclopedia information without hallucinating facts.

14437 views1RemoteLocal (stdio)
search web
GitHub

What it does

  • Search Wikipedia articles by keywords
  • Retrieve complete Wikipedia articles by title or page ID
  • Convert Wikipedia content to clean Markdown format
  • Access up-to-date encyclopedia information

Best for

Researchers needing factual informationAI assistants requiring accurate reference materialContent creators fact-checking information
No API key neededPrevents AI hallucination with real dataClean Markdown output

About Wikipedia

Wikipedia is a community-built MCP server published by timjuenemann that provides AI assistants with tools and capabilities via the Model Context Protocol. Use Wikipedia Search for accurate, up-to-date info. Lookup Wikipedia articles easily with a structured interface and no It is categorized under search web. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.

How to install

You can install Wikipedia in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.

License

Wikipedia is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

Tools (2)

search
readArticle

Wikipedia MCP Server

A Model Context Protocol (MCP) server for searching and retrieving Wikipedia articles.

Overview

This MCP server enables language models to search Wikipedia and retrieve article content programmatically using the Model Context Protocol. It provides a structured interface for AI assistants to access Wikipedia knowledge.

Features

  • Search Wikipedia: Find articles matching specific search terms
  • Read Full Articles: Retrieve complete Wikipedia articles by title or page ID
  • Markdown Conversion: All article content is automatically converted from HTML

Add it to your MCP Client

Start it via this CLI command:

npx wikipedia-mcp

Most AI tools support a JSON-based configuration for MCP servers looking like this:

{
  "mcpServers": {
    "Wikipedia": {
      "command": "npx",
      "args": ["-y", "wikipedia-mcp"]
    }
  }
}

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