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harehare/mq

⭐ 1029 Rust added to this list on 2025-12-15 repository created 2025-02-24

The project 'mq' is a command-line tool designed for processing Markdown files using a syntax similar to jq, a popular JSON processor. It is written in Rust and allows users to slice, filter, map, and transform structured Markdown data efficiently. The tool is particularly useful for workflows involving large language models (LLMs), as Markdown is a common input format for these models. 'mq' facilitates the generation and manipulation of structured Markdown content optimized for LLM consumption, making it valuable for LLM input generation, documentation management, content analysis, and batch processing of Markdown files. Key features of 'mq' include the ability to extract specific parts of Markdown documents, apply transformations, and use a simple command-line interface for quick operations. It supports extensibility through custom functions and includes many built-in functions and selectors for filtering and transforming content. The tool also offers a REPL for interactive query testing, IDE support with a VSCode extension and Language Server Protocol (LSP) for custom function development, and an experimental debugger for inspecting and stepping through queries. Additionally, 'mq' can be extended with external subcommands by placing executable files in a designated directory. Installation options are diverse, including a quick install script, Cargo package manager, pre-built binaries for various platforms, Homebrew, Docker, and plugins for editors like Visual Studio Code and Neovim. The project also integrates with GitHub Actions for automation and provides a Python package for using 'mq' within Python environments. Importantly, 'mq' includes an implementation of the Model Context Protocol (MCP) server, enabling AI assistants to process Markdown and HTML content using 'mq's query language. This makes it directly relevant to MCP-related projects. Comprehensive documentation and examples are available to help users get started and make the most of the tool's capabilities. Overall, 'mq' is a powerful and flexible tool for anyone working with Markdown in contexts where structured querying and transformation are needed, especially in AI and LLM workflows.

https://github.com/harehare/mq

batch-processingclicommand-line-toolcontent-analysisdebuggerdocumentation-managementexternal-subcommandsfilteride-supportinstallationinterpreterjqjq-like-syntaxlanguage-serverlanguage-server-protocolllm-input-generationllm-workflowsmapmarkdownmcpmcp-servermdmodel-context-protocolpython-packagequeryreplrustslicestructured-datatransformtuivscode-extension