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Alternatives to llm-context
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Provides VS Code active editor context (open file, cursor position, selection) to MCP-compatible AI tools.
Enables LLM-powered code analysis, generation, debugging, and context management through MCP integration with IDEs like Cursor and Claude Desktop.
Context infrastructure for AI-assisted development — on-demand Obsidian vault access via MCP
A Model Context Protocol (MCP) server designed to easily dump your codebase context into Large Language Models (LLMs).
Exposes the active file and selection(s) from VS Code to MCP clients, enabling CLI coding agents to access current editor context.
Local persistent memory for AI coding tools. Stores project context and conversation recall locally via MCP.