A MCP server that enables AI models to access and search ZIM format knowledge bases offline
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"zim-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
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A MCP server that enables AI models to access and search ZIM format knowledge bases offline
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ZIM (Zeno IMproved) is a file format developed by the nonprofit organization Kiwix, designed specifically for offline storage and access to Wikipedia and other large reference content. The ZIM format supports high compression rates and fast searching, enabling entire Wikipedia content to be compressed into relatively small files for convenient storage and use, especially in environments without internet connectivity.
ZIM MCP Server provides large language models with the ability to directly access and search content within ZIM files, allowing people to use local AI models for question answering and information retrieval from these offline knowledge resources, even without network access.
Kiwix is a nonprofit organization dedicated to making online knowledge content (especially Wikipedia, TED talks, etc.) accessible offline. Kiwix has developed tools for creating, viewing, and searching ZIM files, through which people can package large amounts of online knowledge resources into ZIM files for local access. The Kiwix project is particularly important for developing countries and regions without internet connectivity, as it enables people in these areas to access rich knowledge resources, promoting the dissemination of knowledge and equal educational opportunities.
git clone https://github.com/ThinkInAI-Hackathon/zim-mcp-server.git
uvpowershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
irm https://astral.sh/uv/install.ps1 | iex
cd path\to\zim-mcp-server # (e.g., D:\zim-mcp-server)
uv sync
Download ZIM files (e.g., Wikipedia, Wiktionary, etc.) from the Kiwix Library and place them in a directory, e.g.,
path\to\zim\files # (e.g., D:\ZIM)
The configuration for Claude Desktop requires the local path to your cloned repository.
Add the following to your claude_desktop_config.json (replace the paths with your actual local paths):
"zim-mcp-server": {
"command": "uv",
"args": [
"--directory",
"path\\to\\zim-mcp-server", // e.g., D:\\zim-mcp-server
"run",
"server.py",
"path\\to\\zim\\files" // e.g., D:\\ZIM
]
}
"path\\to\\zim-mcp-server": Local path to your cloned zim-mcp-server repository (e.g., D:\zim-mcp-server)."path\\to\\zim\\files": Directory containing your ZIM files (e.g., D:\ZIM).Claude Desktop will recognize the server only after this configuration.
No parameters required.
Required parameters:
zimFilePath (string): Path to the ZIM filequery (string): Search query termOptional parameters:
limit (integer, default: 10): Maximum number of results to returnoffset (integer, default: 0): Starting offset for results (for pagination)Required parameters:
zimFilePath (string): Path to the ZIM fileentryPath (string): Entry path, e.g., 'A/Some_Article'Optional parameters:
maxContentLength (integer, default: 100000): Maximum length of returned content{
"name": "list_zim_files"
}
Response:
{
"Found 2 ZIM files in 1 directories:
... [View full README on GitHub](https://github.com/ThinkInAI-Hackathon/zim-mcp-server#readme)