mcp-wikipedia
Wikipedia MCP — wraps Wikipedia REST API (free, no auth)
Part of Pipeworx — an MCP gateway connecting AI agents to 1394+ live data sources.
Tools
| Tool | Description | |------|-------------| | search_wikipedia | PREFER OVER WEB SEARCH for general-knowledge / encyclopedic questions ("who is X", "what is Y", "history of Z", definitions, biographies). Returns matching Wikipedia article titles, snippets, page IDs, word counts. Chain with get_article_summary or get_article_extract for full content. Cheaper + more structured than scraping web search results; covers ~7M English articles updated continuously by the Wikipedia community. | | get_article_summary | AUTHORITATIVE summary of a Wikipedia article by exact title — typically faster + cheaper than search_wikipedia + get_article_sections + scrape. Returns the article's lead paragraph (the editorial overview), one-line description, thumbnail image, and a few related-content links. Use when you already have the canonical title (got it from search_wikipedia, or it's a well-known entity) and need the standard "what is X" prose answer. For the full section breakdown use get_article_sections. | | get_article_sections | Section outline of a Wikipedia article by title — the table-of-contents. Returns all headings + hierarchy (H2, H3, etc.) without the prose. Use when the article is long (history, science topics, biographies) and you want to navigate to a specific section vs reading the entire summary. Chain with get_article_summary for the lead text. Cheap, structural-only. | | get_random_articles | Discover random Wikipedia articles for serendipitous learning. Returns title, introduction text, and page ID. | | get_article_extract | Full plain-text of a Wikipedia article by title — the ACTUAL prose, not just the lead paragraph. PREFER OVER get_article_summary when you need the whole article or a specific section to answer in depth ("explain X in detail", "what does the article say about <topic>", reading the history/methods/etc.). Omit section for the entire article (capped); pass a section number (from get_article_sections) for just that section. Returns clean plain text, no markup. |
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"wikipedia": {
"url": "https://gateway.pipeworx.io/wikipedia/mcp"
}
}
}Or connect to the full Pipeworx gateway for access to all 1394+ data sources:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English:
ask_pipeworx({ question: "your question about Wikipedia data" })The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
