"Wikipedia" matching MCP servers:

Wikipedia MCP server (read-only): search articles, read plain-language summaries or full text, follow links, browse categories, pull references with source URLs, flag missing citations, resolve disambiguation pages, and check revision history and pageview stats — all via the public Wikipedia API.

An MCP server that gives LLMs access to Wikipedia, supporting search, article retrieval, summaries, sections, and related topics across multiple languages and language variants.

Enables AI assistants to access Wikipedia content, search articles, retrieve historical events, and fetch images through the Wikipedia API.

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.

Enables efficient Wikipedia access through a progressive retrieval strategy that minimizes token usage by searching, summarizing, and fetching only relevant sections.

Enables LLMs to search for keywords and fetch full page content from Wikipedia across various languages. It provides direct access to Wikipedia information through search and fetch tools.

A Model Context Protocol server that retrieves information from Wikipedia to provide context to LLMs, allowing users to search articles, get summaries, full content, sections, and links from Wikipedia.

Enables searching and retrieving images from Wikipedia Commons with detailed metadata including licenses and authors.

Enables natural language queries to search, retrieve, and explore Wikipedia and other Wikimedia project content, including featured articles and historical events.

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.

Delivers comprehensive company intelligence in a single tool call, aggregating profiles, tech stacks, key people, news, and corporate data from any domain or company name. Sources data from Wikipedia, GitHub, OpenCorporates, and web scraping to provide structured business insights using only free public APIs.

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

Local-first MCP server that captures web URLs (X, Reddit, YouTube, Wikipedia, articles) as typed data + Markdown into a self-hosted capture/store/recall substrate, with offline semantic recall. Six tools over a local khiipd daemon; run khiipd serve first.

Enables AI assistants to search for images on Wikimedia Commons, returning structured metadata and a composite thumbnail grid for visual comparison.

MCP server providing free, IP-direct tools for web search, crawling, anti-detect browsing, and structured data from Wikipedia, Wikidata, GitHub, and YouTube.

An MCP server that enables interaction with Kiwix HTTP servers to browse, search, and retrieve content from offline ZIM books like Wikipedia. It provides tools for listing available library resources and fetching full-text articles as plain text.

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.

Enables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.

Enables an MCP client to run fully offline, natural-language searches over roughly 35,000 Wikipedia film synopses from 1901–2017, and to fetch individual film records filtered by title, year, genre or director. Tool results come back as citable Wikipedia sources, with no API key required.

Provides offline access to Wikipedia and other ZIM content through a local Kiwix instance, enabling search, summaries, and full article retrieval without internet.