$ loading_
Transfer data and run remote compute jobs across HPC endpoints with Globus.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Globus MCP Server" yet — see the docs or source repo.
Use the Globus MCP Server to transfer my local experiment data directory to a target HPC endpoint, and return the task ID, transfer status, and any error details.
A Globus transfer result including the task identifier, progress status, and any exception details.
Use the Globus MCP Server to execute this Python analysis script on a specified Globus Compute endpoint, and return the submission result, run status, and a summary of output logs.
Remote compute job details including submission info, execution status, and stdout or error summaries.
Use the Globus MCP Server to first transfer input data to an HPC endpoint, then automatically start a remote compute task after transfer completion, and summarize the full workflow status.
A combined transfer-and-compute workflow result showing whether each step succeeded and the downstream task status.
Manage Globus data transfers and compute tasks through AI-driven automation.
Connect GlobeStudio so AI can assist with resources and creative workflows.
Monitor and manage Slurm GPU jobs, allocations, and logs across clusters.
Connect local AI coding agents to chat, delegate, and collaborate privately.
Connect once to access tools aggregated from many upstream MCP servers.
Connect GitHub and local files to share standards, docs, and prompts with AI.