Openzim MCP
O

Openzim MCP

OpenZIM MCP is a high - performance MCP server that enables AI models to access and search ZIM - formatted knowledge bases offline, supporting intelligent retrieval, security verification, and multi - instance management.
2 points
7.4K

What is OpenZIM MCP Server?

OpenZIM MCP Server is an intelligent server specifically designed for AI models. It can read and search offline knowledge base files in ZIM format. ZIM is an efficient compressed file format commonly used to store a large amount of knowledge content such as Wikipedia, dictionaries, and textbooks. This server allows AI to access these knowledge resources completely offline.

How to use OpenZIM MCP Server?

It's very simple to use: First, download the ZIM knowledge base files. Then, start the server and specify the file directory. Finally, configure the connection in the AI application. The AI model can then search and read these offline contents just like accessing online resources.

Use cases

Suitable for scenarios that require offline knowledge access, such as education in remote areas, privacy - sensitive environments, areas with unstable networks, or AI application development that requires fast local knowledge retrieval.

Main Features

Smart Search
Supports full - text search, auto - completion, and suggestions. It can intelligently understand the query intention and return the most relevant results.
Content Retrieval
Can retrieve the complete content of a specific entry, supporting content length limits and intelligent truncation.
Metadata Browsing
View metadata such as basic information, file structure, and namespace statistics of the knowledge base.
Advanced Filtering
Supports filtering searches based on multiple conditions such as namespace and content type.
Smart Navigation
Automatically handles path encoding differences and provides a reliable entry access experience.
Server Management
Built - in health check, performance monitoring, and conflict detection functions.
Advantages
Works completely offline without relying on an internet connection
High - performance search and content retrieval with fast response
Supports multiple ZIM knowledge base formats
Intelligent error handling and user guidance
Safe and reliable, preventing security risks such as path traversal
Easy to integrate into existing AI application ecosystems
Limitations
Requires pre - downloading ZIM knowledge base files
Content updates require re - downloading the entire ZIM file
The display effect of some special - format content may be limited
Large knowledge base files require sufficient storage space

How to Use

Install the Server
Install the OpenZIM MCP Server package via pip
Prepare the Knowledge Base Files
Download the required ZIM knowledge base files from the Kiwix library
Start the Server
Run the server and specify the directory where the ZIM files are located
Configure the AI Application
Configure the MCP client in the AI application to connect to this server

Usage Examples

Academic Research Assistant
Researchers use offline Wikipedia for literature research and obtain reference materials in a network - free environment.
Educational Application Development
Develop educational AI applications to provide offline knowledge query services for students in remote areas.
Content Analysis Tool
Analyze the coverage and content quality of a specific topic in the knowledge base.

Frequently Asked Questions

What format is the ZIM file? Where can I get it?
What size of knowledge base files does the server support?
Do I need programming knowledge to use it?
How to update the knowledge base content?
Does it support Chinese content?

Related Resources

Official Documentation
Complete development documentation and API reference
Kiwix Library
Download various ZIM knowledge base files
MCP Protocol Description
Official description of the Model Context Protocol
Example Configuration
Configuration examples for various usage scenarios

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
8.7K
5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
A
Annas MCP
The MCP server and CLI tool of Anna's Archive are used to search for and download documents on the platform and support access through an API key.
Go
6.7K
4.5 points
S
Search1api
The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.
TypeScript
14.6K
4 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.7K
4.3 points
B
Bing Search MCP
An MCP server for integrating Microsoft Bing Search API, supporting web page, news, and image search functions, providing network search capabilities for AI assistants.
Python
15.1K
4 points
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
12.6K
4.3 points
M
Modelcontextprotocol
Certified
This project is an implementation of an MCP server integrated with the Sonar API, providing real-time web search capabilities for Claude. It includes guides on system architecture, tool configuration, Docker deployment, and multi-platform integration.
TypeScript
13.6K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.5K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.7K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.3K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.2K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
62.4K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase