{"repo":"omar-haris/smart-coding-mcp","free":true,"listed":false,"github":"https://github.com/omar-haris/smart-coding-mcp","clone":"git clone https://github.com/omar-haris/smart-coding-mcp.git","description":"An extensible Model Context Protocol (MCP-Local-MRL-RAG-AST) server that provides intelligent semantic code search for AI assistants. Built with local AI models, inspired by Cursor's semantic search.","language":"JavaScript","stars":199,"topics":["ai","antigravity","cursor","gemini","mcp","cluade","codex","javascript","llm","local-rag"],"license":"MIT","category":"mcp-servers","readme_excerpt":"Smart Coding MCP An extensible Model Context Protocol (MCP) server that provides intelligent semantic code search for AI assistants. Built with local AI models using Matryoshka Representation Learning (MRL) for flexible embedding dimensions (64-768d). What This Does AI coding assistants work better when they can find relevant code quickly. Traditional keyword search falls short - if you ask \"where do we handle authentication?\" but your code uses \"login\" and \"session\", keyword search misses it. This MCP server solves that by indexing your codebase with AI embeddings. Your AI assistant can search by meaning instead of exact keywords, finding relevant code even when the terminology differs. Available Tools 🔍 a semantic search - Find Code by Meaning The primary tool for codebase exploration. Uses AI embeddings to understand what you're looking for, not just match keywords. How it works: Converts your natural language query into a vector, then finds code chunks with similar meaning using cosine similarity + exact match boosting. Best for: - Exploring unfamiliar codebases: \"How does authentication work?\" - Finding related code: \"Where do we validate user input?\" - Conceptual searches: \"error handling patterns\" - Works even with typos: \"embeding modle initializashun\" still finds embedding code Example queries: --- 📦 d check last version - Package Version Lookup Fetches the latest version of any package from its official registry. Supports 20+ ecosystems. How it works: Queries offi","default_branch":null,"files":null,"tree":[],"storefront":"/r/omar-haris","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/omar-haris/smart-coding-mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}