Wikipedia MCP Server
About
A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.
Details
- Author
- Rudra-ravi
- GitHub stars
- 269
- Downloads
- 549
- Categories
- Search, Other, Knowledge Base, AI
Jump to
- Search Wikipedia articles matching specific queries
- Retrieve full article content, summaries, and sections
- Extract links and related topics from articles
- Multi‑language support via language codes or country names
- Optional caching of API responses for performance
- Multiple MCP transport protocols: stdio, HTTP, streamable‑HTTP
- Optional bearer‑token or JWT authentication for network transports
- Google ADK compatibility with strict function calling schemas
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Wikipedia MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install via pipx (pipx install wikipedia-mcp), pip, or from source. Run the server with wikipedia-mcp and optionally specify transport (--transport stdio, http, streamable-http, or sse), language or country (--language, --country), caching (--enable-cache), access tokens (--access-token), and authentication mode (--auth-mode static or --auth-mode jwt). Configure Claude Desktop by adding a command entry in claude_desktop_config.json.
search
readArticle
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"wikipedia mcp server": {
"wikipedia-mcp": {
"command": "pipx",
"args": [
"ensurepath"
]
}
}
}
}
McpServers
{
"wikipedia-mcp": {
"command": "pipx",
"args": [
"ensurepath"
]
}
}
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.
<a href="https://glama.ai/mcp/servers/@Rudra-ravi/wikipedia-mcp">
</a>
Overview
The Wikipedia MCP server provides real-time access to Wikipedia information through a standardized Model Context Protocol interface. This allows LLMs to retrieve accurate and up-to-date information directly from Wikipedia to enhance their responses.
Verified By
Features
- Search Wikipedia: Find articles matching specific queries with enhanced diagnostics
- Retrieve Article Content: Get full article text with all information
- Article Summaries: Get concise summaries of articles
- Section Extraction: Retrieve specific sections from articles
- Link Discovery: Find links within articles to related topics
- Related Topics: Discover topics related to a specific article
- Multi-language Support: Access Wikipedia in different languages by specifying the --language or -l argument when running the server (e.g., wikipedia-mcp --language ta for Tamil).
- Country/Locale Support: Use intuitive country codes like --country US, --country China, or --country TW instead of language codes. Automatically maps to appropriate Wikipedia language variants.
- Language Variant Support: Support for language variants such as Chinese traditional/simplified (e.g., zh-hans for Simplified Chinese, zh-tw for Traditional Chinese), Serbian scripts (sr-latn, sr-cyrl), and other regional variants.
- Optional caching: Cache API responses for improved performance using --enable-cache
- Modern MCP Transport Support: Supports stdio, http, and streamable-http (with legacy sse compatibility).
- Optional MCP Transport Auth: Secure network transports with --auth-mode static or --auth-mode jwt.
- Google ADK Compatibility: Fully compatible with Google ADK agents and other AI frameworks that use strict function calling schemas
Installation
Using pipx (Recommended for Claude Desktop)
The best way to install for Claude Desktop usage is with pipx, which installs the command globally:
```bash
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