# Add to your Claude Code skills
git clone https://github.com/Rudra-ravi/wikipedia-mcp
README.md
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.
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.
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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 or argument when running the server (e.g., for Tamil).
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176,037
wikipedia-api
wikipedia-mcp
wikipedia-mcp-server
--language
-l
wikipedia-mcp --language ta
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:
# Install pipx if you don't have it
pip install pipx
pipx ensurepath
# Install the Wikipedia MCP server
pipx install wikipedia-mcp
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 Say goodbye to information overload with your AI public opinion monitoring assistant and hot spot screening tool! Aggregates multi-platform hotspots + RSS subscriptions to support precise keyword filtering. AI translation + AI analysis briefings are pushed directly to mobile phones, and also support access to the MCP architecture, empowering AI natural language dialogue analysis, emotional insights and trend predictions, etc. Supports Docker, data is self-sustained locally/in the cloud. Integrate intelligent push via channels such as WeChat/Feishu/DingTalk/Telegram/Mail/ntfy/bark/slack.
CowAgent is a super AI assistant based on large models that can proactively think and plan tasks, access the operating system and external resources, create and execute Skills, have long-term memory and continue to grow. It also supports access to Feishu, DingTalk, enterprise WeChat applications, WeChat public accounts, web pages, etc. You can choose OpenAI/Claude/Gemini/DeepSeek/Qwen/GLM/Kimi/LinkAI. It can process text, voice, pictures and files, and can quickly build personal AI assistants and enterprise digital employees.
