{"repo":"krokozyab/ofrag","free":true,"listed":false,"github":"https://github.com/krokozyab/ofrag","clone":"git clone https://github.com/krokozyab/ofrag.git","description":"Agentic SQL & RAG engine (MCP server) for Oracle Fusion. Features local schema caching, semantic search, and real-time SQL execution for AI agents","language":null,"stars":14,"topics":["claude","erp","mcp","oracle-cloud","oracle-fusion","rag","mcp-server"],"license":null,"category":"mcp-servers","readme_excerpt":"ofrag — MCP Server for Oracle Fusion Cloud Give your AI agent direct access to Oracle Fusion ERP data. Ask questions in plain English — get SQL results in seconds. Demo · What is it · Tools · Quick Start · Docs --- The Problem Oracle Fusion Cloud has 25,000+ tables across Finance, SCM, HCM, and Procurement. Finding the right table, understanding join relationships, and writing correct SQL takes hours of digging through Oracle docs. Even experienced consultants spend 15+ minutes per query cycle: log into BI Publisher → create data model → write SQL → debug → re-run. ofrag eliminates this entirely. Your AI agent discovers tables semantically, validates SQL against a local schema cache, and executes queries against live Fusion data — all in one conversation. ✨ The Magic Moment You: \"Show me the top 5 unpaid invoices for vendor Acme Corp generated last month.\" Claude + ofrag: 1. Discovers the right tables via semantic search ( AP INVOICES ALL , POZ SUPPLIERS , HZ PARTIES ) 2. Understands \"unpaid\" means PAYMENT STATUS FLAG = 'N' 3. Validates the SQL against local metadata — catches errors before they hit production 4. Executes the query against your live Oracle Fusion instance 5. Returns a formatted table with invoice numbers, amounts, and dates Total time: 4 seconds. No BI Publisher. No data model. No OTBI subject areas. Just a question and an answer. 🧠 What is ofrag ofrag is an MCP (Model Context Protocol) server — an open standard that lets AI agents use external tools. It giv","default_branch":null,"files":null,"tree":[],"storefront":"/r/krokozyab","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/krokozyab/ofrag/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."}