vibe-coder-mcp-v4
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Vibe Coder MCP Server v4 Final Release includes the Automatic Contextual Retrieval System (ACRS) tools, providing a stable and feature-complete version for community use.
The Vibe Coder MCP Server v4 is a robust model context protocol server designed to enhance AI assistant capabilities through the introduction of the Automatic Contextual Retrieval System (ACRS). This system improves the interaction quality by incorporating contextual memory, advanced caching, semantic search, and sequential thinking. These features collectively enable more coherent and context-aware interactions with LLM-based assistants. The v4 release is the final version in this series, with development continuing in a separate repository for v5. This release is aimed at providing a stable and feature-rich platform for developers and users to integrate with their AI systems, ensuring efficient and meaningful communication with language models.
Features
- Contextual memory: Stores and retrieves relevant information based on the current context.
- Advanced caching: Reduces redundant LLM calls and improves response times.
- Semantic search: Finds related content based on meaning rather than exact text matching.
- Sequential thinking: Breaks down complex problems into manageable steps.
Tools
ACRS Tools
Including context memory, semantic search, sequential thinking and other functions, used to enhance the interactive capabilities of AI assistants
