Fetch and analyze ADIOS2 BP5 scientific data, metadata, and attributes.
The materials indicate this MCP tool mainly reads and analyzes local ADIOS2/BP5 scientific data files. It declares no secrets or remote endpoints, and its source is from an official registry, open source, and recently maintained, so the overall risk is relatively low; however, it is flagged as executing code and handling local data files, so it should be used with least privilege.
The material explicitly states that no keys or environment variables are required, and no API tokens, account credentials, or OAuth setup are mentioned. Based on the available materials, credential exposure and abuse risk appear low.
No remote host is declared, and the material only describes fetching and analyzing BP5 data files, with no evidence that user data is sent to external services. Based on the current materials, no explicit data egress path is identified.
The system flags this tool as executes-code, indicating it can run code or processes locally. This is a normal capability for such tools, but it still means attention should be paid to what local libraries, processes, and runtime privileges it uses.
Its stated function is to access and analyze ADIOS2/BP5 scientific data, metadata, and attributes, which implies reading local data files. The current materials do not show evidence of write scope or excessive access beyond the stated purpose, but it should still be run with minimal file access privileges.
The source is an official registry entry, and it is open source with updates within the last year, all of which are strong risk-reducing signals. However, the missing README, undeclared license, and low community adoption (0 stars) limit auditability and ecosystem validation, so caution is appropriate rather than a high-risk rating.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "CLIO Adios" MCP server from askskill: Run: claude mcp add 'io-github-iowarp-adios-mcp' -- npx -y clio-kit
Manage, automate, and monitor high-performance computing pipelines and research workflows.
Connect to Slurm clusters to inspect jobs, queues, and HPC scheduling tasks.
Analyze saved earthquake catalogs for sequence characteristics and completeness magnitude metrics.
Access, inspect, and work with Apache Parquet data files efficiently.
Perform advanced data analysis and dataframe operations with comprehensive Pandas capabilities.
Process and sort large log files in parallel for faster analysis.
Discover scientific datasets for remote agents through an operator-owned MCP tool.
Read, inspect, analyze vector geospatial data, and render interactive maps.
Access SAP ABAP objects live for search, checks, testing, and editing.
Read company analysis and real estate benchmark data from Sedis PartnerAPI v2.
Query and explore PhysioNet biomedical datasets and schemas through BigQuery.
Access Aidoo studio data in Claude for members, classes, bookings, and contracts.