pydantic/pydantic-ai/mcp-run-python A MCP Server Active
Run Python code in a secure sandbox via MCP tool calls
19 MCP servers and agent skills in the Code Execution category, ranked by quality score.
Run Python code in a secure sandbox via MCP tool calls
MCP server for the SLURM workload manager. Submit jobs, run YAML workflows, monitor GPU resources, manage SSH profiles, and sync files to remote HPC clusters from natural language. 14 tools spanning local SLURM and SSH-remote clusters; companion CLI and FastAPI Web UI ship in the same package.
Self-hostable GPU-aware job broker for your own machines. The MCP server exposes the queue as nine tools (submit, status, logs, list, cancel, preempt, workers, job-get, worker-delete) so an agent can dispatch long-running or GPU jobs that outlive the session, route them by VRAM tier, and babysit them across sessions. `pip install "jobd[mcp]"`.