"Zaim" matching MCP servers:

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 interaction with .zim archives by providing tools for article search, content retrieval, and metadata discovery. It features a TF-IDF based RAG engine for semantic retrieval over extracted article chunks from compressed ZIM files.

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

Serves project memory, tasks, docs, and conventions live over the Model Context Protocol, enabling AI assistants to query and manipulate workspace context directly. Exposes tools for task management, memory operations, search, and context health checks.

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