KMD: CLI and MCP server for managing a structured Markdown knowledge base

KMD: Structured Markdown Knowledge Base Management for AI Developers

KMD is a powerful command-line interface (CLI) and MCP server designed for developers building AI agents. It enables the creation, management, and serving of structured Markdown knowledge bases. By organizing your information in a consistent, machine-readable format, KMD ensures your AI agents can efficiently access and utilize relevant data for improved performance and accuracy.

What KMD Does

KMD automates the process of validating, indexing, and serving your Markdown-based knowledge. It enforces a defined structure for your Markdown files, ensuring consistency and preventing errors. Once validated, KMD indexes this content, making it readily searchable and retrievable. The integrated MCP server then exposes this indexed knowledge base, allowing AI agents to query and retrieve information programmatically. This streamlines the integration of external knowledge into your AI workflows.

Key Features

• CLI for Management: Perform validation, indexing, and server operations directly from your terminal.
• MCP Server: Expose your structured knowledge base as an API endpoint for AI agents.
• Markdown Validation: Enforces a predefined structure to ensure data integrity and consistency.
• Content Indexing: Creates an efficient index for fast retrieval of knowledge.
• Developer-Focused: Designed with the needs of AI builders and developers in mind.
• Source Available: Open-source on GitHub for transparency and customization.

Who KMD is For

KMD is an essential tool for AI developers , machine learning engineers , and anyone building AI agents that require access to structured external knowledge. If you are working with large datasets, documentation, or any form of textual information that needs to be reliably accessed by an AI, KMD provides the infrastructure to make that happen. It's particularly useful for projects involving retrieval-augmented generation (RAG), knowledge graph integration, or any scenario where an AI needs to consult a curated knowledge base.