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Zim Mcp Server
What is Zim Mcp Server
zim-mcp-server is a server that allows AI models to access and search knowledge bases stored in ZIM format offline. It enables local AI models to perform question answering and information retrieval from these compressed knowledge resources without requiring internet connectivity.
Use cases
Use cases for zim-mcp-server include educational institutions providing offline access to Wikipedia content for students, NGOs distributing knowledge resources in remote areas, and researchers needing to access large datasets without internet connectivity.
How to use
To use zim-mcp-server, clone the repository from GitHub and install the required dependencies, such as ‘uv’. Follow the installation instructions specific to your operating system (Windows or MacOS) to set up the server and start accessing ZIM files.
Key features
Key features of zim-mcp-server include offline access to ZIM format knowledge bases, high compression rates for efficient storage, fast searching capabilities, and the ability to integrate with large language models for enhanced information retrieval.
Where to use
zim-mcp-server can be used in various fields, particularly in education, research, and information dissemination, especially in areas with limited or no internet access. It is beneficial for organizations aiming to provide offline access to knowledge resources.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Zim Mcp Server
zim-mcp-server is a server that allows AI models to access and search knowledge bases stored in ZIM format offline. It enables local AI models to perform question answering and information retrieval from these compressed knowledge resources without requiring internet connectivity.
Use cases
Use cases for zim-mcp-server include educational institutions providing offline access to Wikipedia content for students, NGOs distributing knowledge resources in remote areas, and researchers needing to access large datasets without internet connectivity.
How to use
To use zim-mcp-server, clone the repository from GitHub and install the required dependencies, such as ‘uv’. Follow the installation instructions specific to your operating system (Windows or MacOS) to set up the server and start accessing ZIM files.
Key features
Key features of zim-mcp-server include offline access to ZIM format knowledge bases, high compression rates for efficient storage, fast searching capabilities, and the ability to integrate with large language models for enhanced information retrieval.
Where to use
zim-mcp-server can be used in various fields, particularly in education, research, and information dissemination, especially in areas with limited or no internet access. It is beneficial for organizations aiming to provide offline access to knowledge resources.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
ZIM MCP Server
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.
About Kiwix
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.
Installation
1. Clone the Repository
git clone https://github.com/ThinkInAI-Hackathon/zim-mcp-server.git
2. Install uv
- On Windows:
- If you have not set execution policy before, run:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" - Otherwise, you can run:
irm https://astral.sh/uv/install.ps1 | iex
- If you have not set execution policy before, run:
- On MacOS:
- Please refer to the official uv installation guide.
3. Install Dependencies
cd path\to\zim-mcp-server # (e.g., D:\zim-mcp-server)
uv sync
4. Prepare ZIM Files
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)
Configuration for Claude Desktop
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):
"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.
Available Tools
list_zim_files - List all ZIM files in allowed directories
No parameters required.
search_zim_file - Search within ZIM file content
Required parameters:
zimFilePath(string): Path to the ZIM filequery(string): Search query term
Optional parameters:
limit(integer, default: 10): Maximum number of results to returnoffset(integer, default: 0): Starting offset for results (for pagination)
get_zim_entry - Get detailed content of a specific entry in a ZIM file
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
Examples
Listing ZIM files:
{
"name": "list_zim_files"
}
Response:
{ "Found 2 ZIM files in 1 directories: [ { "name": "wikipedia_en_all_nopic_2023-07.zim", "path": "D:/ZIM/wikipedia_en_all_nopic_2023-07.zim", "directory": "D:/ZIM", "size": "95123.45 MB", "modified": "2023-08-01T12:00:00" }, { "name": "wiktionary_en_all_nopic_2023-07.zim", "path": "D:/ZIM/wiktionary_en_all_nopic_2023-07.zim", "directory": "D:/ZIM", "size": "1234.56 MB", "modified": "2023-08-01T12:30:00" } ] }
Searching ZIM files:
{
"name": "search_zim_file",
"arguments": {
"zimFilePath": "D:/ZIM/wikipedia_en_all_nopic_2023-07.zim",
"query": "artificial intelligence",
"limit": 3
}
}
Response:
Found 120 matches for "artificial intelligence", showing 1-3: ## 1. Artificial intelligence Path: A/Artificial_intelligence Snippet: Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to intelligence displayed by humans or by other animals. ... ## 2. History of artificial intelligence Path: A/History_of_artificial_intelligence Snippet: The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen. ... ## 3. Philosophy of artificial intelligence Path: A/Philosophy_of_artificial_intelligence Snippet: The philosophy of artificial intelligence is a branch of the philosophy of technology that explores artificial intelligence and its implications for knowledge, reality, consciousness, and the human mind. ...
Getting ZIM entries:
{
"name": "get_zim_entry",
"arguments": {
"zimFilePath": "D:/ZIM/wikipedia_en_all_nopic_2023-07.zim",
"entryPath": "A/Artificial_intelligence"
}
}
Response:
# Artificial intelligence Path: A/Artificial_intelligence Type: text/html ## Content Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to intelligence displayed by humans or by other animals. Examples of specific artificial intelligence applications include expert systems, natural language processing, and computer vision. Leading AI textbooks define the field as the study of "intelligent agents": any system that perceives its environment and takes actions that maximize its chance of achieving its goals. Some popular accounts use the term "artificial intelligence" to describe machines that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving". ...
License
MIT
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










