MCP server

Wikipedia

io.github.pipeworx-io/wikipedia

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Wikipedia MCP — wraps Wikipedia REST API (free, no auth)

Website Source

At a glance

Type

MCP server

Publisher

pipeworx.io (verified by the MCP Registry)

Status

Working at last check

Tools

47

Token cost

About 27,975 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http wikipedia https://gateway.pipeworx.io/wikipedia/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.wikipedia]
url = "https://gateway.pipeworx.io/wikipedia/mcp"

Gemini CLI

{"mcpServers":{"wikipedia":{"httpUrl":"https://gateway.pipeworx.io/wikipedia/mcp"}}}

Cursor

{"mcpServers":{"wikipedia":{"url":"https://gateway.pipeworx.io/wikipedia/mcp"}}}

VS Code

{"servers":{"wikipedia":{"type":"http","url":"https://gateway.pipeworx.io/wikipedia/mcp"}}}

Antigravity

agy mcp add wikipedia https://gateway.pipeworx.io/wikipedia/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"wikipedia","server_url":"https://gateway.pipeworx.io/wikipedia/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"wikipedia","server_url":"https://gateway.pipeworx.io/wikipedia/mcp"}

Tools

• get_article_extract ~587 tokens
  Full text of a Wikipedia article by title — the ACTUAL prose AND its tables, not just the lead paragraph. This is how you read a competition schedule, fixture list, medal table, results grid or roster: get_article_extract({title: "Table tennis at the 2026 Asian Games"}) returns the venue, the dates
• get_article_sections ~181 tokens
  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
• get_article_summary ~224 tokens
  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
• get_random_articles ~97 tokens
  Discover random Wikipedia articles for serendipitous learning. Returns title, introduction text, and page ID.
• search_wikipedia ~583 tokens
  Search Wikipedia for encyclopedic facts, sports event schedules, medal tables, officeholder rosters and biographies. Covers multi-sport games and tournaments edition by edition — Olympics, Asian Games, Commonwealth Games, Pan American Games, SEA Games, World Cup — with per-sport competition schedule

Browse

• GitHub tools
• Web scraping
• GitHub and code hosting
• APIs and testing
• Sports

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