Code execution · MCP server
Srunx: MCP server, setup and security
Srunx is an open-source MCP server that lets an AI agent submit SLURM jobs and monitor GPU resources across HPC clusters. Its repository has 24 stars and its last commit is from September 13, 2026 and it is licensed under Apache-2.0.
| Adoption (stars) | 14/40 | |
|---|---|---|
| Maintenance | 25/30 | |
| Framework (licence, registry, official) | 15/30 |
What Srunx does
According to its repository: “Submit SLURM jobs, run YAML workflows, monitor GPU resources, manage SSH profiles and sync files with local or SSH-remote HPC clusters.”
An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Srunx is listed under Code execution, a category of 32 servers in the directory, where it ranks #25 by stars.
Topics declared by the repository: cli, cluster, fastapi, gpu, hpc, job-management.
Installing and connecting Srunx
No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.
Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python. Listed systems: macOS, Linux.
Security: what to check
An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.
Points found for Srunx:
- System access: the Code execution category gives the agent control over files, a terminal, code or a browser. A booby-trapped instruction in content the agent reads (prompt injection) can then turn into an action.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on June 13, 2025, the ksterx/srunx repository has 24 stars and 3 forks, with 1 open issues. It has more stars than 41% of the servers in the directory. Last change 1 month ago.
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Srunx is a reasonable choice; check the points below before connecting it.
Strengths
- Active project: recent commit
- Permissive licence (Apache-2.0)
Limitations
- Install from source
Avoid if…
- You cannot isolate the agent (sandbox, container)
Alternatives
- Container use4.1K ★
- LLM Sandbox1.1K ★
- Tidewave Phoenix858 ★
- Superserve466 ★
- OrcaReplay281 ★
- Mailtrap66 ★
Learn more
Frequently asked questions
How do I install Srunx?
No package is declared in the MCP registry: clone the ksterx/srunx repository, follow its README, then declare the start command in your client's MCP configuration.
Is Srunx free?
The code is published under the Apache-2.0 licence and can be used free of charge.
Is Srunx safe?
Points to watch: system access. Give it minimum rights and approve sensitive actions.
Is it an official server?
Nothing says so: it is a project published by ksterx on GitHub. Check who maintains it before giving it access.
What are the alternatives to Srunx?
In the same category: Container use, LLM Sandbox, Tidewave Phoenix, and Superserve. Container use and LLM Sandbox score higher on our grid.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score