cameronrye/openzim-mcp

Overview

OpenZIM MCP is a Python-based MCP server that lets AI models query ZIM archives offline. It provides a secure, local interface for searching and retrieving content from compressed knowledge bases without internet access.

Best for

Best for
Developers needing offline, local access to structured knowledge bases for AI agents

Use cases

• Offline retrieval of Wikipedia or other ZIM-format datasets for AI assistants
• Building local RAG pipelines that rely on static knowledge snapshots
• Enabling AI tools to search large reference libraries in air-gapped environments

How to use

Install

uv tool install openzim-mcp

Tools exposed

• zim_query
• zim_search
• zim_get
• zim_get_section
• zim_browse
• zim_metadata
• zim_links
• zim_health

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "openzim-mcp": {\n      "command": "openzim-mcp",\n      "args": ["/path/to/zim/files"]\n    }\n  }\n}

Notes

OpenZIM MCP is a Python-based MCP server that lets AI models query ZIM archives offline. It provides a secure, local interface for searching and retrieving content from compressed knowledge bases without internet access.

63 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

• Offline retrieval of Wikipedia or other ZIM-format datasets for AI assistants
• Building local RAG pipelines that rely on static knowledge snapshots
• Enabling AI tools to search large reference libraries in air-gapped environments

Pros

• Works entirely offline, removing dependency on external APIs
• Leverages the well-established ZIM format for compact, portable knowledge bases
• Simple MCP integration for existing AI workflows

Cons

• Limited to ZIM archives, which require pre-downloaded datasets
• Small community and fewer than 100 GitHub stars, so support is minimal
• Python-only implementation may not fit non-Python stacks

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.