Why this server?
Efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval.
Why this server?
Enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.
Why this server?
Returns a structured summary of a GitHub repository, fetching metadata such as the repository name, description, languages used, README content (summarized), and dependency info.
Why this server?
Provides semantic search over local git repositories, enabling users to clone repositories, process branches, and search code through vectorized code chunks.
Why this server?
Enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
Why this server?
Bridges Large Language Models with Language Server Protocol interfaces, allowing LLMs to access LSP's hover information, completions, diagnostics, and code actions for improved code suggestions.