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OpenZIM MCP Server

Enables AI to search millions of Wikipedia articles offline in sub-second response times

A modern, secure, and high-performance MCP (Model Context Protocol) server that enables AI models to access and search ZIM format knowledge bases offline.

Python MCP Kiwix ZIM OpenZIM

View on GitHub Live Demo

Architecture

flowchart TB
    subgraph Client["AI Client"]
        Claude["Claude / LLM"]
    end
    subgraph Server["OpenZIM MCP Server"]
        MCP["MCP Protocol"]
        Search["Search Engine"]
        Parser["Content Parser"]
    end
    subgraph Storage["Local Storage"]
        ZIM[("ZIM Files<br/>Wikipedia, etc.")]
    end
    Claude -->|"MCP Request"| MCP
    MCP --> Search
    Search --> ZIM
    ZIM --> Parser
    Parser -->|"Formatted Content"| MCP
    MCP -->|"MCP Response"| Claude

The Problem

AI assistants are entirely dependent on internet connectivity for knowledge retrieval, making them unusable in air-gapped environments, areas with limited connectivity, or scenarios requiring data privacy. This creates a significant barrier for researchers, educators, and professionals who need reliable AI assistance without constant network access.

The Solution

Built a high-performance MCP server that bridges AI models directly to ZIM-formatted knowledge archives. By leveraging the OpenZIM format used by Kiwix, the server provides instant access to compressed versions of Wikipedia and other Wikimedia projects, enabling full-text search and article retrieval without any network dependency.

The Results

Sub-second full-text search across 6+ million Wikipedia articles
Complete offline operation with zero network dependency
Memory-efficient design using under 50MB RAM during operation
Seamless integration with Claude and other MCP-compatible AI assistants

6M+

Articles Searchable

<100ms

Search Latency

<50MB

Memory Usage

<5min

Setup Time

OpenZIM MCP is a modern, secure, and high-performance MCP server that enables AI models to access and search ZIM format knowledge bases offline. Perfect for accessing Wikipedia, Wikimedia projects, and other knowledge bases without internet connectivity.

MCP Tool Explorer

openzim-mcp

# Request

{
  "tool": "zim_search",
  "query": "quantum computing",
  "limit": 5
}

Select Tool

Search for articles in the ZIM knowledge base

This is a simulated demo. The actual MCP server processes requests from AI assistants like Claude.

Key Features

Offline Knowledge Access: Full Wikipedia and Kiwix content access without internet
High Performance: Fast search across millions of articles
Python-Based: Built with Python for easy deployment and extensibility
MCP Integration: Standard Model Context Protocol interface