Code execution · MCP server
Jobd: MCP server, setup and security
Jobd is an open-source MCP server published on GitHub that lets an AI agent dispatch long running GPU jobs and monitor them across multiple sessions. Its repository has 5 stars and its last commit is from October 24, 2026 and it is licensed under MIT.
What Jobd does
According to its repository: “Self-hostable GPU-aware job broker: dispatch long-running or GPU jobs that outlive the session, route them by VRAM tier and monitor them across sessions.”
The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Jobd is listed under Code execution, a category of 32 servers in the directory, where it ranks #30 by stars.
Topics declared by the repository: distributed-systems, fastapi, gpu, homelab, job-queue, job-scheduler.
Installing and connecting Jobd
Distribution modes declared in the official MCP registry:
- PyPI package (Python, started with
uvxorpip)
It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python. Listed systems: macOS, Windows, Linux.
The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.
Security: what to check
Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.
Points found for Jobd:
- 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.
- Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.
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 May 31, 2026, the musharna/jobd repository has 5 stars and 0 forks, with 0 open issues. It has more stars than 13% of the servers in the directory. It received changes this month. Version published in the registry: 0.5.52 (October 20, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Jobd is a reasonable choice; check the points below before connecting it.
Strengths
- Active project: recent commit
- Listed in the official MCP registry
- Permissive licence (MIT)
Limitations
- Requires an API key or token
- Few visible users
Avoid if…
- You cannot isolate the agent (sandbox, container)
- You do not want to give credentials to an agent
Alternatives
- Container use4.1K ★
- LLM Sandbox1.1K ★
- Tidewave Phoenix858 ★
- Superserve466 ★
- OrcaReplay281 ★
- Mailtrap66 ★
Learn more
Frequently asked questions
How do I install Jobd?
Jobd is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of musharna/jobd.
Is Jobd free?
The code is published under the MIT licence and can be used free of charge. It needs an API key: the service it connects to may be paid.
Is Jobd safe?
Points to watch: system access and secrets. Give it minimum rights and approve sensitive actions.
Is it an official server?
Nothing says so: it is a project published by musharna on GitHub. Check who maintains it before giving it access.
What are the alternatives to Jobd?
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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