"Wikipedia" matching MCP servers:

This MCP server provides Wikipedia page view trend data, enabling AI to detect spikes, view historical traffic, and compare cross-platform trends to gauge public curiosity.

Provides Wikipedia page view trend data including spike detection, historical traffic, and cross-platform comparison, enabling AI to access a leading indicator of public curiosity.

Enables AI models to access and search offline Wikipedia and other knowledge bases stored in ZIM format files. Provides intelligent content retrieval, structured browsing, advanced search capabilities, and metadata extraction for comprehensive offline knowledge access.

OpenZIM MCP Server provides AI models structured, offline access to ZIM format knowledge archives (Wikipedia, Wiktionary, Stack Exchange, Kiwix Library) via a Model Context Protocol server with smart namespace navigation, full-text search with suggestions, structure-aware retrieval (sections, tables of contents, related articles), link-graph extraction, archive-type presets, and both Simple (single natural-language tool) and Advanced (8 specialized tools) modes with streamable HTTP transport, bearer auth, and per-entry resources with subscriptions.

Real-time trend data from Google Trends (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam, Spotify, X (Twitter), App Store, Google Play, web traffic, and news sentiment via one MCP connection. Works with Claude, Cursor, VS Code, Windsurf, ChatGPT, and any MCP-compatible AI.