Oil & Gas RAG
Provides oil and gas industry data access through MySQL storage with drilling events, production data, purchase orders, timeseries analytics, work orders, and HSSE incidents, plus document search via hybrid vector/full-text retrieval and anomaly detection using z-score analysis.
About
This MCP server provides oil and gas industry data access and retrieval-augmented generation (RAG) capabilities through a Go-based backend with MySQL storage and OpenAI integration. Built with Chi router and featuring comprehensive domain-specific tools, it offers access to drilling events, production data, purchase orders, timeseries analytics, work orders, and HSSE incidents, along with document search through hybrid vector/full-text retrieval and anomaly detection using z-score analysis. The implementation includes a React frontend with real-time chat streaming, JWT-based admin authentication, Docker deployment with separate API and worker services, and MCP tool registry supporting both in-process execution and HTTP endpoints, making it valuable for petroleum engineers analyzing operational data, procurement teams tracking purchase orders, and safety personnel monitoring incidents across drilling and production operations.
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