"Wikipedia" matching MCP servers:

Enables LLM agents to search Wikipedia and retrieve page content via Model Context Protocol tools, supporting natural language research.

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

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

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

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.

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 offline search and retrieval of Wikipedia articles using Kiwix .zim files, enabling LLMs to access full Wikipedia content without internet.

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

An MCP server that retrieves and provides Wikipedia content for requested topics, enabling easy access to Wikipedia information directly through the Model Control Protocol.

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

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.

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.

An MCP server that exposes Wikipedia page view trends as clean JSON, providing normalized 0-100 trend scores, growth rates over 3M/6M/12M/5Y windows, and live most-viewed article feeds, comparable across 15 sources including Google, YouTube, and TikTok.

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.

Provides structured access to Wikipedia content including search, summaries, images, links, and more via MCP tools.

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.

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.

Provides Claude with real-time access to Wikipedia through four essential tools: search articles, get full content, retrieve summaries, and find related articles. Enables comprehensive Wikipedia research workflows with structured data access and no API keys required.