Wikipedia MCP Server

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.

Tools

1. search_wikipedia

Search Wikipedia for articles matching a query with optional result limit.

2. get_article

Get the full content of a Wikipedia article including text, summary, sections, links, and categories.

3. get_summary

Get a concise summary of a Wikipedia article.

4. get_sections

Get the sections of a Wikipedia article in a structured format with their content.

5. get_links

Get the links contained within a Wikipedia article to other Wikipedia articles.

6. get_coordinates

Get the coordinates of a Wikipedia article including latitude, longitude, and metadata.

7. get_related_topics

Get topics related to a Wikipedia article based on links and categories with relevance information.

8. summarize_article_for_query

Get a summary of a Wikipedia article tailored to a specific query with customizable length.

9. summarize_article_section

Get a summary of a specific section of a Wikipedia article with customizable length.

10. extract_key_facts

Extract key facts from a Wikipedia article, optionally focused on a specific topic within the article.

JSON Config

{
  "mcpServers": {
    "wikipedia": {
      "command": "uvx",
      "args": [
        "wikipedia-mcp"
      ]
    }
  }
}

Useful Links

GitHub PyPI DeepWiki

Information

Author@Rudra-ravi
Published date2025/07/22

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