Language Server

About

This tool bridges the gap between Language Server Protocol (LSP) and Model Context Protocol (MCP), allowing Large Language Models (LLMs) to leverage the power of language servers for tasks such as precise type understanding, relationship analysis, and accurate symbol referencing. By integrating with language servers like pyright, tsserver, gopls, and rust-analyzer, it offers a suite of tools for code definition retrieval, reference finding, diagnostics, code lens integration, and programmatic text editing, enhancing the code interaction capabilities of LLMs.

Key Features

• Retrieves complete source code definitions of symbols.
• Locates all usages and references of a symbol throughout the codebase.
• Provides diagnostic information for files, including warnings and errors.
• Retrieves code lens hints for additional context and actions.
• Applies multiple text edits to a file programmatically.
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Use Cases

• Enhancing LLM-driven code completion and suggestion accuracy.
• Automating code refactoring and import management within LLM workflows.
• Providing LLMs with contextual code information for improved understanding and generation.