What does ACRS stand for and what does it do?
ACRS stands for Automatic Contextual Retrieval System. It provides contextual memory, advanced caching, semantic search, and sequential thinking to enhance AI assistant capabilities.
Vibe Coder MCP Server - v4 Final Release
@jsscarfo
Basic information
About Vibe Coder MCP Server - v4 Final Release
Final v4 release of Vibe Coder MCP Server with Automatic Contextual Retrieval System (ACRS) tools
Vibe Coder MCP Server - v4 Final Release config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryVibe Coder MCP Server - v4 Final Release tools
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Overview
What is Vibe Coder MCP Server - v4 Final Release?
Vibe Coder MCP Server - v4 Final Release is a Model Context Protocol server that introduces the Automatic Contextual Retrieval System (ACRS). It enhances AI assistants with contextual memory, advanced caching, semantic search, and sequential thinking. This version is a stable, feature‑complete release for the community.
How to use Vibe Coder MCP Server - v4 Final Release?
Clone the repository, run the platform‑specific setup script (setup.bat on Windows, setup.sh on macOS/Linux), create a .env file with your OpenRouter API key, then update your AI assistant’s MCP configuration to include the server. Use natural language commands such as “Add to memory: …”, “Process request … with context”, “Enhance prompt: …”, or “Get retrieval metrics”.
Key features of Vibe Coder MCP Server - v4 Final Release
- Contextual memory stores and retrieves relevant information
- Advanced caching reduces redundant LLM calls
- Semantic search finds meaning‑based content matches
- Sequential thinking breaks down complex problems step‑by‑step
- Stable v4 release with full ACRS toolset
- OpenRouter API integration for LLM access
Use cases of Vibe Coder MCP Server - v4 Final Release
- Maintain long‑term context across AI assistant conversations
- Accelerate responses by caching frequently used LLM results
- Find related knowledge without exact keyword matching
- Decompose multi‑step tasks into manageable reasoning chains
- Build context‑aware prompts for more coherent AI interactions
Frequently asked questions
What API key is required to run the server?
You need an OpenRouter API key. Add it to a `.env` file by copying `.env.example` and inserting your key.
Is this version still actively developed?
No. This is the final v4 release. Development has moved to v5 in a separate repository. v4 is offered as a stable, feature‑complete release.
How do I integrate Vibe Coder with my AI assistant?
Update your AI assistant’s MCP configuration to include the Vibe Coder server after following the installation and setup steps.
What tools are available in ACRS?
You can add memory entries, process requests with contextual enhancement, enhance prompts for LLMs, and retrieve performance metrics using natural language commands.
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