mcp-language-server: The MCP Language Server exposes language server capabilities like definition, references, and diagnostics to Large Language Models. It helps MCP-enabled clients navigate codebases more easily by providing semantic tools for code understanding and manipulation.; entroly: Entroly is a context engineering engine that compresses an entire codebase into the AI context window using variable-resolution representation, removing duplicates and boilerplate. It achieves 78% fewer tokens per request, improves AI responses over time via reinforcement learning, and works with any AI coding tool via MCP server or HTTP proxy. The Rust-based core ensures sub-10ms overhead.
Enabling LLMs to navigate and understand complex codebases
Optimizing context for coding agents like Cursor and Claude Code