Exposes petroleum engineering data and tools to Large Language Models (LLMs) for natural language interaction.
Sponsored
Petro provides a Model Context Protocol (MCP) server that empowers Large Language Models (LLMs) with specialized petroleum engineering capabilities. It enables AI assistants to interact with external data and tools, facilitating natural language workflows for tasks such as parsing LAS files, fitting physics-constrained decline curves, running nodal analysis, and querying production data. This eliminates the need for manual scripting, streamlining complex analyses like calculating Estimated Ultimate Recovery (EUR) or detecting production anomalies in production data.
