A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to Large Language Models (LLMs). This tool helps AI assistants access factual information from Wikipedia to ground their responses in reliable sources.
Search Wikipedia for articles matching a query with optional result limit.
Get the full content of a Wikipedia article including text, summary, sections, links, and categories.
Get a concise summary of a Wikipedia article.
Get the sections of a Wikipedia article in a structured format with their content.
Get the links contained within a Wikipedia article to other Wikipedia articles.
Get the coordinates of a Wikipedia article including latitude, longitude, and metadata.
Get topics related to a Wikipedia article based on links and categories with relevance information.
Get a summary of a Wikipedia article tailored to a specific query with customizable length.
Get a summary of a specific section of a Wikipedia article with customizable length.
Extract key facts from a Wikipedia article, optionally focused on a specific topic within the article.
{
"mcpServers": {
"wikipedia": {
"command": "uvx",
"args": [
"wikipedia-mcp"
]
}
}
}