xdmod-mcp-data

# XDMoD MCP Data Server A Python-based Model Context Protocol server for accessing XDMoD (XD Metrics on Demand) data using Python's data analytics capabilities for better data manipulation and user-specific queries. Features pandas integration, clean data structures, enhanced filtering, and framework integration with XDMoD's Python data analytics framework. ## Usage Examples ### **Authentication & Debug** ``` "Debug my XDMoD data authentication and check what frameworks are available" "Test if the official XDMoD data framework is working" ``` ### **Personal Usage Data** ``` "Get usage data for my ACCESS ID using the data server" "Show me CPU hours for my ACCESS ID from January to June 2025" "What's my computational usage for my ACCESS ID?" ``` ### **Raw Data Extraction** ``` "Get raw CPU hours data grouped by institution for 2024" "Extract timeseries data for all jobs on Delta with daily aggregation" "Show me raw GPU usage metrics from SUPREMM realm for the past month" "Get job counts by field of science with progress tracking" ``` ### **Data Discovery** ``` "What realms are available in XDMoD?" "Show me all dimensions and metrics available in the Jobs realm" "What fields can I filter by in the SUPREMM realm?" "List sample filter values for the resource dimension" ``` ### **Complex Filtering** ``` "Get raw data for jobs on Delta OR Bridges-2 with more than 1000 cores" "Extract usage data filtered by multiple PIs and institutions" "Show timeseries data for specific research groups across all resources" ``` ### **Data Analytics** ``` "Get my usage data using the official data framework instead of REST API" "Analyze the team's computational patterns using ACCESS IDs" "Show me my usage trends for my ACCESS ID over the past 6 months" ``` ### **Framework Integration** ``` "Test the XDMoD data analytics framework integration" "Use pandas to analyze my computational usage patterns" "Get clean structured data for my research usage" ``` ## Installation **Fo…