MCP server that enables AI models to access and search ZIM format knowledge bases offline
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[English](README.md) | [中文](README.zh_CN.md) # ZIM MCP Server [ZIM](https://en.wikipedia.org/wiki/ZIM_(file_format)) (Zeno IMproved) is a file format developed by the nonprofit organization [Kiwix](https://www.kiwix.org/), 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](https://www.kiwix.org/) 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 ```bash 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 powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" ``` - Otherwise, you can run: ```powershell irm https://astral.sh/uv/install.ps1 | iex ``` - On MacOS: - Please refer to the [official uv installation guide](https://docs.astral.sh/uv/gettin…
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