Wikipedia

by cyanheads

v0.1.13

Apache-2.0

Repository Docs npm

Web & Search

wikipediareferencesearchknowledge

Summary

Search and read Wikipedia from an AI client — summaries, full articles, specific sections, and nearby pages.

Features

Search articles and read summaries or full text
Target specific sections of long articles
Find pages near a geographic location

Installation

Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.

Any MCP-compatible agent

Most agents (Claude, Cursor, Windsurf, VS Code, and more) read a standard mcpServers configuration.

Open your agent's MCP configuration file.
Merge the snippet below into it.
Restart the agent — the "Wikipedia" tools will be available.

{
  "mcpServers": {
    "wikipedia": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/wikipedia-mcp-server"
      ]
    }
  }
}

Claude Code

Add the server with a single CLI command.

claude mcp add wikipedia -- npx -y @cyanheads/wikipedia-mcp-server

Claude Desktop

Add the server to claude_desktop_config.json (Settings → Developer → Edit Config).

{
  "mcpServers": {
    "wikipedia": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/wikipedia-mcp-server"
      ]
    }
  }
}

Cursor

{
  "command": "npx",
  "args": [
    "-y",
    "@cyanheads/wikipedia-mcp-server"
  ]
}

Windsurf

{
  "command": "npx",
  "args": [
    "-y",
    "@cyanheads/wikipedia-mcp-server"
  ]
}

VS Code

{
  "command": "npx",
  "args": [
    "-y",
    "@cyanheads/wikipedia-mcp-server"
  ]
}

Description

This MCP server gives an assistant structured access to Wikipedia, which remains one of the better sources for factual grounding on established topics.

What it offers

Search across article titles and content
Summaries — the lead section, which is usually the right level of detail
Full article text when more depth is needed
Section targeting, so a long article can be read partially rather than entirely, which matters for context budget
Geographic search for pages near a set of coordinates
Language selection across Wikipedia's editions
Related pages and links for exploring a topic

Why bother when the model already knows

Two reasons. Currency — Wikipedia is updated continuously and training data is not. And verifiability — an answer with a Wikipedia citation can be checked, while an answer from parametric memory cannot.

It is also the cheapest way to reduce confident errors on the long tail of factual questions, where a model's recollection is thinnest.

Setup

No API key or account required. Runs with npx -y @cyanheads/wikipedia-mcp-server. Please respect Wikimedia's rate limits.

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