Rudra-ravi/wikipedia-mcp

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.
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:
This ensures the wikipedia-mcp command is available in Claude Desktop's PATH.
Installing via Smithery
To install wikipedia-mcp for Claude Desktop automatically via Smithery:
From PyPI (Alternative)
You can also install directly from PyPI:
**Note**: If you use this method and encounter connection issues with Claude Desktop, you may need to use the full path to the command in your configuration. See the Configuration section for details.
Using a virtual environment
From source
Usage
Running the server
bash
Build and run with Docker
docker build -t wikipedia-mcp .
docker run --rm -p 8080:8080 wikipedia-mcp --transport http --host 0.0.0.0 --port 8080 --path /mcp
yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: wikipedia-mcp
spec:
replicas: 1
selector:
matchLabels:
app: wikipedia-mcp
template:
metadata:
labels:
app: wikipedia-mcp
spec:
containers:
- name: server
image: your-repo/wikipedia-mcp:latest
args: ["--transport", "http", "--host", "0.0.0.0", "--port", "8080", "--path", "/mcp"]
ports:
- containerPort: 8080
---
apiVersion: v1
kind: Service
metadata:
name: wikipedia-mcp
spec:
selector:
app: wikipedia-mcp
ports:
- name: http
port: 8080
targetPort: 8080
Configuration for Claude Desktop
Add the following to your Claude Desktop configuration file:
**Option 1: Using command name (requires wikipedia-mcp to be in PATH)**
**Option 2: Using full path (recommended if you get connection errors)**
**Option 3: With country/language specification**
To find the full path, run: which wikipedia-mcp
**Configuration file locations:**
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%/Claude/claude_desktop_config.json
- Linux: ~/.config/Claude/claude_desktop_config.json
> **Note**: If you encounter connection errors, see the Troubleshooting section for solutions.
Documentation Index
- CLI usage and options: see docs/CLI.md
- API and MCP tools/resources: see docs/API.md
- Architecture overview: see docs/ARCHITECTURE.md
- User guide and troubleshooting: see docs/USER_GUIDE.md