Provides an MCP server for executing Python and C++ code within the CERN ROOT framework.
Sponsored
This tool delivers a Model Context Protocol (MCP) server specifically engineered to integrate with the CERN ROOT Framework, a comprehensive environment for data analysis and visualization. It empowers large language models (LLMs) and other MCP clients to directly execute Python and C++ code within an in-process ROOT runtime, seamlessly leveraging PyROOT. The server's architecture prioritizes low-latency execution and supports advanced features such as interactive graphics through ROOT's TCanvas, making complex scientific data analysis, processing, and visualization readily accessible programmatically.
Key Features
01Direct Python and C++ code execution using PyROOT and ROOT's cling interpreter
02In-process execution for low-latency interactions with the ROOT runtime
03Automatic detection of C++ compilation errors and detailed error reporting
04Pretty-printed console logging of executed code and results
050 GitHub stars
06Comprehensive graphics support including TCanvas, histograms, and event loops
Use Cases
01Integrating CERN ROOT data analysis capabilities into AI agents and LLM-powered tools
02Interactive data analysis and visualization within development environments like VS Code with Copilot Chat
03Executing ROOT-based Python and C++ scripts programmatically from external applications
