"Wikipedia" matching MCP servers:

Wraps the Wikipedia REST API to allow AI agents to query Wikipedia content without authentication.

MCP server for searching and reading Wikipedia articles, including summaries, full text, targeted sections, nearby pages, and language editions.

Provides comprehensive Wikipedia access for AI assistants via MCP Streamable HTTP transport, enabling search, article retrieval, summaries, section analysis, link discovery, and multi-language support.

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

Provides comprehensive access to Wikipedia content including article search, full text retrieval, summaries, categories, links, images, language versions, and external references through 9 specialized tools.

MCP server providing live Wikipedia recent changes feed, page summaries, trending pages, and Wikidata entity lookup.

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.

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

An MCP server that enables web searching, URL content extraction, and summarization without requiring API keys. It also provides advanced mathematical evaluation and multi-language Wikipedia summary retrieval tools.

A minimal MCP server implementation designed for learning how to integrate tools like echo, time retrieval, and Japanese Wikipedia search with Claude Desktop. It serves as a foundational template for developing custom server capabilities using the TypeScript MCP SDK.

This MCP server enables AI assistants to search for images on Wikimedia Commons, providing detailed metadata and optional thumbnail combinations to assist AI models in visual comparisons.

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.

A MCP server that fetches and renders Baidu Baike (Chinese Wikipedia) discussion content, allowing users to access encyclopedia article discussions and generate readable analysis of the structured data.

Enables access to comprehensive news data through the Perigon API, including searching for articles, stories, journalists, sources, people, companies, topics, and Wikipedia content with advanced filtering capabilities.

A high-performance MCP server that aggregates Wikipedia, arXiv, Context7, and DevDocs into a unified interface for AI agents.

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

Access Wikimedia REST API v1 to retrieve daily featured content and on-this-day events.

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.

Enables reading and searching ZIM files for offline reference content like Wikipedia.

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