lsp-mcp

jonrad
86
An Model Context Protocol (MCP) server that provides LLMs/AI Agents with the capabilities of a language server protocol (LSP) server. This gives the AI the ability to get language aware context from the codebase.

Overview

lsp-mcp Introduction

lsp-mcp is a Model Context Protocol (MCP) server that enables Large Language Models (LLMs) and AI Agents to utilize the capabilities of a Language Server Protocol (LSP) server, allowing them to access language-aware context from a codebase.

How to Use

To use lsp-mcp, you can either run it using Docker, which is the recommended method, or utilize npx for a quick start. Additionally, it can be accessed through various clients such as Claude Desktop and MCP CLI Client.

Key Features

Key features of lsp-mcp include providing language-aware context, enabling insights into code structure and behavior, and supporting multiple programming languages through the LSP.

Where to Use

lsp-mcp can be used in software development environments, particularly in code analysis tools, IDEs, and AI-assisted programming applications where understanding code context is crucial.

Use Cases

Use cases for lsp-mcp include analyzing code for variable scope and shadowing, providing real-time code insights, and enhancing AI capabilities in understanding and generating code.

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