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Wikipedia MCP — wraps Wikipedia REST API (free, no auth)
About
Wikipedia MCP — wraps Wikipedia REST API (free, no auth)
Remote endpoints: streamable-http: https://gateway.pipeworx.io/wikipedia/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
4 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-pipeworx-io-wikipedia": {
"url": "https://gateway.pipeworx.io/wikipedia/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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 ", 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
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