No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Rudra-ravi · MCP Server · ★ 295
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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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. 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 -
| Stars | 295 |
| Forks | 58 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 79.6604640527542/100 |
| Open Issues | 3 |
| Last Updated | 2026-05-01 |
| Created | 2025-03-08 |
| Platforms | mcp, python |
| Est. Tokens | ~22k |
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wikipedia-mcp is A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.. It is categorized as a MCP Server with 295 GitHub stars.
wikipedia-mcp is primarily written in Python. It covers topics such as anthropic, llm, mcp-server.
You can find installation instructions and usage details in the wikipedia-mcp GitHub repository at github.com/Rudra-ravi/wikipedia-mcp. The project has 295 stars and 58 forks, indicating an active community.
wikipedia-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to wikipedia-mcp on Agent Skills Hub include mcp-fusion, MakeMoneyWithAI, wcgw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: