"Wikimedia Foundation" matching MCP servers:

A Wikimedia Commons MCP server enabling search, file metadata retrieval, category browsing, and random image selection through natural language.

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

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

MCP server for searching and attributing images from Openverse and Wikimedia Commons, enabling insertion via insertUrl and attribution formatting.

Multilingual dictionary server via Wikimedia REST and MediaWiki Action APIs, providing word definitions, summaries, search, etymology, and pronunciations.

Enables fetching Wikipedia pageview statistics, including daily counts for specific articles, top articles for a day, and aggregate project views via the Wikimedia Pageviews API.

Wraps Wikimedia Feed API to provide featured articles, most-read articles, and picture of the day from Wikipedia.

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.

Federated, license-verified search across open-access museum collections — currently The Met, Cleveland, AIC, Wikimedia Commons, and Europeana, with more being added. Strict-default-deny rights gate accepts only CC0 / Public Domain Mark, returning reuse-safe artwork with citations in three styles.

MCP server for answering questions about Apache Software Foundation policies, offering tools to list, retrieve, and search policy documents on releases, licensing, branding, security, infrastructure, and incubator topics.

Read-only Wikipedia MCP server with 39 tools: article summaries, extracts, and Simple English explanations; related articles, links, references, categories, translations, disambiguation; revision history, diffs, and contributor stats; pageviews and article quality; on-this-day, news, featured articles; images, media search, quotes. 10 languages, no API key.

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

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

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.

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

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

Integrates Jina AI Search Foundation APIs to provide web page content extraction and search capabilities. It supports automatic pagination, result caching, and both standard and VIP search endpoints for enhanced information retrieval.

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.

Provides verified local trade and service business data (e.g., radon mitigation, foundation repair) to AI agents via tools like search_providers and list_niches.

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.