CERN ROOT MCP Server
Related Servers
Alternatives to CERN ROOT MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceAn MCP server that exposes Rucio distributed data management operations as tools for LLMs. Designed for ATLAS physicists working with grid data on analysis facilities, but usable with any Rucio instance.6Apache 2.0
- AlicenseAqualityBmaintenanceAn MCP server providing access to XRootD file systems, allowing LLMs to browse directories, read file metadata, and access contents via the root:// protocol. It supports advanced features like campaign discovery, file searching, and ROOT file analysis for scientific data management.181MIT
- AlicenseNot gradedqualityBmaintenanceMCP server for ATLAS Open Data that enables LLMs to discover, query, and retrieve public datasets and metadata from the ATLAS experiment at CERN.3Apache 2.0
- AlicenseAqualityBmaintenanceAn MCP server that connects LLMs to CERN GitLab to discover and analyze High Energy Physics code, documentation, and analysis examples. It provides 14 tools for repository browsing, dependency parsing, and CI/CD configuration analysis.1554 PyPI4AGPL 3.0
- AlicenseNot gradedqualityDmaintenanceAn MCP server that publishes CLI tools on your machine for discoverability by LLMs7 npm1MIT
- AlicenseNot gradedqualityFmaintenanceAn MCP server that enables LLMs to interact with NEXT structured data, providing tools for retrieving highlights and clusters.25 npmMIT
TDQS
Scored across 9 tools
Each tool targets a distinct stage of ROOT file analysis: discovery (list_files), structure inspection (inspect_file), branch listing, validation, reading, statistics, export, and server metadata/mode control. Overlap between inspect_file and list_branches is clarified by descriptions focusing on file structure versus TTree/RNTuple branches.
All names use snake_case with verb_noun structure (list_files, inspect_file, read_branches, get_branch_stats, export_data, get_server_info). switch_mode fits the verb_noun convention despite being administrative rather than analytical.
Nine tools is well-scoped for a read-only ROOT analysis server, covering discovery through export without redundant operations. Each tool has a clear, non-overlapping role in the workflow.
The surface covers discovery, inspection, validation, reading, statistics, and export, but references histograms as an alternative in tool descriptions without providing any histogram or plotting tool. This creates a notable dead end for a core ROOT analysis operation, though agents can partially work around it via stats and export.