"Wikimedia Foundation" matching MCP servers:

Atom-first long-term memory server for MCP clients with durable knowledge storage, hybrid search, typed relations, and context packing for AI prompts.

An LLM-native decision tracking system that captures unexpected engineering outcomes as 'pressure events' to build a persistent learning foundation. It enables AI assistants to manage cases, log surprises, and promote recurring insights into global or project-specific knowledge bases.

A local MCP server that provides a shared context and learning foundation across multiple AI tools (Claude, Copilot, Codex) for multiple projects, enabling persistent knowledge, decisions, and gap reflection through note storage.

MCP server for a self-hostable typed knowledge graph, giving AI agents durable structured memory with typed nodes, links, and flexible payloads. Enables agents to bootstrap, manage, and evolve their ontology via MCP tools.

MCP server for a personal long-term memory base, providing 140 tools to search and write via PostgreSQL and Qdrant, with integrations for Obsidian, session histories, meetings, tasks, and smart home.

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

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

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.

A conversational AI server that enables users to search Wikipedia and retrieve information through natural language interactions using LangGraph and Model Context Protocol (MCP).