"Wikipedia" matching MCP servers:

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

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.

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

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.

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

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

A wikipedia for ESG body of knowledge

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

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.

Enables AI agents to fact-check claims, verify citations, and check source freshness using Wikipedia, Wikidata, Crossref, and Wayback Machine.

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

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.