"Wikipedia" matching MCP servers:

Enables AI agents to search, read, and explore Wikipedia articles via tools like summaries, categories, and random articles, with no API keys required.

A production-ready server that provides Wikipedia search and content retrieval tools through the Model Context Protocol, enabling AI assistants to search for articles, list sections, and retrieve specific content.

Enables searching and retrieving Wikipedia content across multiple languages, including article summaries, sections, coordinates, and related topics.

Search across a billion+ documents including academic papers, books, code, legal cases, forums, and Wikipedia. Provides search and detail tools for various content types.

An MCP server that provides offline access to ZIM file archives, including Wikipedia, medical knowledge, and maps. It dynamically exposes tools like search, article retrieval, and driving route planning based on available ZIM files.

An MCP server that enables LLMs to search, summarize, and retrieve detailed information from Wikipedia across multiple languages. It supports automated fact-checking by allowing models to proactively verify factual claims using Wikipedia's database.

A multi-tool MCP server that enhances local LLMs with web search, document reading, scholarly research, Wikipedia access, and calculator functions. Provides comprehensive tools for information retrieval and computation without requiring API keys by default.

Enables LLMs to research answers using DuckDuckGo web and news search plus Wikipedia, providing up-to-date information and current events.

Sample MCP server exposing 5 tools (weather, profile, wikipedia) via a single endpoint, designed to onboard developers to Mindset AI's MCP integration.

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.

Enables LLM clients to perform sandboxed file operations, manage persistent notes, fetch live weather and Wikipedia summaries, calculate arithmetic safely, and retrieve current UTC time via a standalone tool server over stdio or HTTP.

Provides web search and content retrieval optimized for AI coding assistants, returning full conversations and structured content from StackOverflow, GitHub Issues, arXiv, and Wikipedia in a single call.

Enables AI clients to list, read, search, and extract structured data from Wikipedia featured articles, including collection and summarization via OpenAI.

Exposes every installed .act.yaml blueprint as a deterministic MCP tool, letting AI agents fetch structured data or perform actions from websites and portals via a tiered HTTP, HTML-extraction, and headless-browser fallback chain. This replaces slow, costly browser automation with fast, verifiable tool calls for sources like GitHub, Hacker News, Wikipedia, PyPI, and weather or exchange-rate services.

Connects LLM clients to verified Ghanaian digital sources, enabling unified natural-language search across live news outlets, university research repositories, public service institution directories, and location-scoped Wikipedia context with hybrid neural and lexical reranking.

Enables AI agents to search the web, read any page as clean markdown, and query Wikipedia, Hacker News, and GitHub without API keys or per-call credits. It exposes these sources as unified MCP tools and can also be self-hosted over HTTP or used as a library.

Enables debate search and citation functionality through web search, Wikipedia, arXiv, and AWS documentation APIs. Designed to power debate features with comprehensive research and citation tools via MCP protocol.

An MCP server that enables AI agents to participate in Silicopedia discussions about improving Wikipedia articles. It provides tools for reading, searching, and contributing to structured debates on the MediaWiki platform.

Provides Claude with free stock-market data including quotes, fundamentals, history, news, index top-10 rankings, market movers, and penny-stock screens using public sources like Yahoo Finance and Wikipedia. No API keys or subscriptions required.