"Wikipedia" matching MCP servers:

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

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

MCP server for reading and searching ZIM archives, optimized for single-user deployments with a persistent Wikipedia archive.

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

Enables completely offline Wikipedia search through locally-indexed content using BM25 algorithm, allowing AI assistants to query Wikipedia without internet connectivity or external API calls.

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.

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.

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

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

An MCP server that turns an AI agent into a slide author, enabling drafting decks in Pandoc Markdown, compiling to PDF or PowerPoint, validating with PNG exports, and pulling in research from the web, Wikipedia, and Semantic Scholar.

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 local, zero-cost MCP server that fact-checks your Markdown/Obsidian notes using a local LLM (via Ollama) and free sources like Wikipedia and DuckDuckGo, with no cloud API or API keys.

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.

A Model Context Protocol (MCP) server that coordinates AI agents to transform database tables into Wikipedia-style data dictionaries.

Enables large language models to directly access and search content in ZIM files, allowing offline question answering and information retrieval from resources like Wikipedia.

Enables offline CRUD and semantic search on Wikipedia ZIM archives via MCP tools for reading, writing, editing, deleting, and searching articles.

An MCP server that exposes a single tool to retrieve Wikipedia articles from local multistream dump files, offering fast offline access with redirect following and fuzzy matching.

Provides web search, URL fetching, summarization, math evaluation, and Wikipedia tools for LM Studio without needing an API key.

Provides Claude Desktop with custom tools for math, web search (DuckDuckGo), Wikipedia, ArXiv, and simulated Airbnb searches via MCP.

Enables hybrid search (dense + sparse) over self-hosted indexes of continuously ingested public datasets (news, GitHub, Wikipedia, arXiv, small web, devdocs, Hacker News) using your own embedding model, served via the Model Context Protocol.