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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.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.
Connect GlobeStudio so AI can assist with resources and creative workflows.
Expose GitHub search, issue handling, and PR review to AI agents.
Secure file and directory operations for autonomous AI development workflows.
Connect GitHub repos so AI can analyze and build from real code.
Connect one MCP endpoint to multiple downstream servers with on-demand capability routing.