This streamlined Model Context Protocol (MCP) server significantly boosts AI collaboration for developers using VS Code, particularly with tools like Copilot. It automatically injects comprehensive project context, including files, structure, and README content, into AI queries. Furthermore, it manages workspace-specific conversation history, ensuring that each project maintains an isolated and relevant memory for ongoing discussions with multi-provider AI support (Claude, GPT-4, Gemini, Ollama), making AI interactions more informed and productive.
Key Features
01API Call Management with Rate Limiting
02Workspace-Specific Conversation History
03Automatic Project Context Injection
04Multi-Provider Support (Claude, GPT-4, Gemini, Ollama)
050 GitHub stars
06Dynamic Workspace Management
Use Cases
01Researching complex questions by gathering diverse perspectives from multiple AI models simultaneously.
02Consulting specific AI providers for expert advice on code or best practices within a project's context.
03Maintaining continuous, project-aware AI conversations across development sessions for enhanced team productivity.
