Graphify-Labs/graphify
Graphify transforms codebases, documentation, and other files into queryable knowledge graphs, enhancing developer productivity with local AST parsing and detailed edge explanations.
Awesome MCP › Software Development
LLM Context is a sophisticated tool designed to help developers efficiently share and inject relevant project content into Large Language Model (LLM) chat interfaces. It leverages the Model Context Protocol (MCP) to enable seamless integration with LLMs, allowing for dynamic and context-aware interactions. The tool supports smart file selection using .gitignore patterns, ensuring that only pertinent files are included in the context shared with the LLM. This makes it highly effective for working with code repositories and collections of text, markdown, or HTML documents. The project offers multiple usage patterns, including direct integration with Claude Desktop via MCP and compatibility with any LLM chat interface through command-line and clipboard workflows. It is optimized for projects that fit within an LLM's context window, with ongoing development to support larger projects. Users can initialize their project configuration, select files, generate context, and interact with LLMs using a variety of commands that streamline the workflow. Advanced features include customizable rule-based profiles for different use cases, smart code outlines that provide LLMs with a high-level view of the codebase, and the ability to extract full implementations of specific code definitions upon request. The tool also supports customizable templates and prompts to tailor the interaction experience. LLM Context is actively developed and encourages version control of configuration files due to frequent updates. It has evolved from earlier AI-assisted development tools and incorporates innovations from the open-source community and AI assistance. The project is licensed under the Apache License 2.0 and is designed to enhance AI-assisted software development by making project context easily accessible and manageable within LLM chat environments.
https://github.com/cyberchitta/llm-context.py
Graphify transforms codebases, documentation, and other files into queryable knowledge graphs, enhancing developer productivity with local AST parsing and detailed edge explanations.
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