This Model Context Protocol (MCP) server enables AI applications, such as Claude Desktop, to interact directly with UAB's comprehensive Research Computing documentation. It allows AI assistants to search for specific topics, retrieve full page content, access support details, list documentation sections, and get quick start guides for the Cheaha HPC cluster. This integration makes critical research computing information readily available and actionable for AI-powered workflows, streamlining access to resources covering HPC usage, software, storage, and job scheduling.
Key Features
01Search UAB Research Computing documentation for relevant content
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03Retrieve the full content of specific documentation pages
04Get comprehensive support information including office hours and contact methods
05List all main sections and categories in the documentation
06Access quick start information for the Cheaha HPC cluster
Use Cases
01Programmatically obtain support contact details and office hours for UAB Research Computing
02Quickly find and retrieve specific guides, such as SLURM job submission or GPU computing tutorials
03Enable AI assistants to answer researcher questions about HPC usage, software, and data management
