vibe-coder-mcp-v4

vibe-coder-mcp-v4

1
ai_chatbotknowledge_and_memory

Vibe Coder MCP Server v4 is a feature-complete final release that includes the Automatic Contextual Retrieval System, enhancing AI assistant capabilities with contextual memory, advanced caching, semantic search, and sequential thinking. It facilitates coherent, context-aware interactions with LLM-based systems.

Vibe Coder MCP Server - v4 Final Release

IMPORTANT NOTICE: This is the final v4 release of the Vibe Coder MCP Server, which includes the Automatic Contextual Retrieval System (ACRS) tools. The development has moved to v5 in a separate repository. This version is available to the community as a stable, feature-complete release.

New in v4: Automatic Contextual Retrieval System (ACRS)

  • Contextual memory: Stores and retrieves information based on context
  • Advanced caching: Reduces redundant LLM calls
  • Semantic search: Finds related content by meaning
  • Sequential thinking: Breaks down complex problems

Getting Started with GitHub Version

Quick Installation

  1. Clone the repository and change to the directory.
  2. Use setup scripts for Windows or macOS/Linux.
  3. Configure the OpenRouter API Key in a .env file.
  4. Integrate with your AI Assistant's MCP configuration.

ACRS Tools Usage

  1. Add memory entries.
  2. Process requests with contextual enhancement.
  3. Enhance prompts for LLMs.
  4. Get performance metrics.