Language Server

Integrates language server capabilities to provide code analysis, completion, and diagnostics for developing in various languages.

This language server MCP implementation, developed by Alex Wohletz, provides language support for code editing by integrating with the Model Context Protocol. It offers features like hover information, code completion, and diagnostics for TypeScript and potentially Python. The server exposes these capabilities as MCP tools, allowing AI assistants to analyze and manipulate code. By connecting AI capabilities with language-specific tooling, this implementation enables assistants to provide contextual coding help, suggest improvements, and catch potential errors. It is particularly useful for applications requiring code understanding, automated refactoring, or any scenario where an AI system needs to reason about and interact with source code.