MCP for BookStack with semantic vector search

A BookStack MCP server offering 56 tools for the full API and semantic vector search, with OAuth 2.1 support and multiple database options.

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MCP for BookStack: Enhanced API Access and Semantic Search

This MCP server provides comprehensive API access for BookStack, a popular open-source documentation platform. Designed for developers, it integrates advanced capabilities, including semantic vector search, to unlock new ways of interacting with and organizing your BookStack content. With robust features and flexible database support, this tool is built to streamline development workflows and empower AI-driven applications.

What it Does

The MCP for BookStack server exposes the full BookStack API through a unified interface, offering 56 distinct tools. This allows developers to programmatically manage books, chapters, pages, users, permissions, and more. Crucially, it introduces semantic vector search, enabling content retrieval based on meaning and context rather than just keywords. This significantly enhances the ability to find relevant information within large documentation sets, making it ideal for building intelligent search interfaces or AI assistants that need to understand and query documentation.

Key Features

Full BookStack API Coverage: Access to 56 tools for comprehensive programmatic control over BookStack content and administration.
Semantic Vector Search: Enables context-aware searching of BookStack content, going beyond simple keyword matching.
OAuth 2.1 Support: Secure authentication and authorization for API access, integrating seamlessly with existing identity providers.
Multiple Database Options: Supports various database backends, offering flexibility in deployment and integration with existing infrastructure.
Developer-Focused: Built with developers in mind, providing a robust and efficient way to interact with BookStack data.

Who it's For

This tool is specifically designed for developers working with BookStack who need to extend its functionality or integrate it with other systems. It is particularly valuable for:

AI Engineers: Building AI agents, chatbots, or knowledge retrieval systems that leverage BookStack documentation.
Software Developers: Automating BookStack content management, creating custom integrations, or developing applications that interact with BookStack data.
DevOps Engineers: Managing BookStack instances programmatically and ensuring secure API access.