fleet MCP server
io.github.lion-zhang/fleet·v0.6.1Every machine you have, for your agent: free GPUs, jobs, served models, software, over SSH.
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0 stars656 downloads/wk
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If you have run it, two minutes of your experience saves the next person an afternoon.
fleet tools
No tool declarations could be read from the package source. They show once the server is installed.
How fleet compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 92/100
- higher than 90% of 4,460 AI and agents servers
- Downloads a week
- 656
- more than 90% of 1,538 AI and agents servers with a package
Release history: 4 versions in the registry since 2026-10-08, latest 2026-10-25, typically one every 5 days.
Install fleet in Claude Code, Cursor or VS Code
claude mcp add fleet -- uvx agents-fleet
What the publisher says
From the fleet repository's README, as published. We do not edit it. Read it on GitHub
<!-- mcp-name: io.github.lion-zhang/fleet -->
fleet — let your coding agent use every machine you have
Claude Code, Codex and Gemini see one machine: the one they run on. fleet shows them all of yours — every GPU, how much is free, and how to get there.
No account, no cloud service, nothing installed on the machines you add: just the SSH you already use.
The problem
Ask your agent to train a model and it starts on your laptop — while a 4090 sits idle across the room and a rented A100 bills you by the hour. It cannot use what it cannot see.
- Your agent is stuck on one machine. It has no idea your other boxes exist.
- Finding a free GPU is manual. SSH into five hosts, run nvidia-smi, compare in your head.
- Handing it a server means pasting credentials into the chat, and hoping.
Get started: ask your agent
Paste this into Claude Code, Codex, Gemini CLI, or any agent that can run commands, on the machine you work from:
Install fleet from https://github.com/lion-zhang/fleetAgents: the steps are in INSTALL.md.
That machine becomes your fleet's center: it keeps the list of your machines and decides which may reach which. A desktop or home server that is usually on suits it best, but a laptop works too, and you can move the role later.
That is the whole setup. fleet is installed once on this machine, and every supported agent you have here learns it — not only the one you asked. From here on you say what you want in plain words, with no commands to remember.
Then add your machines
Tell the agent how you reach a machine — the SSH command you already use is enough:
You: add my GPU server, ssh ubuntu@10.0.0.7
Agent: Added as gpu-box: 2× RTX 4090, both idle, 46 GB free. It's ready to use.
Each one takes a sentence, whatever the machine is:
Nothing is installed on the machines you add: they only need SSH, on Linux, macOS or Windows. fleet probes each one for its GPUs, memory and disks, and keeps that current.
Then let the agent pick
You describe the work; the agent finds where it fits. It checks what each machine has and what is free on it right now, so it will not send a job to a busy card:
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
fleet: common questions
- Is fleet MCP server safe?
- Yes, by our scan: it is graded A (92/100). Read the fleet safety report
- How do I install fleet?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does fleet need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is fleet maintained?
- The last commit was 26 days ago (2026-10-09). The latest release is v0.6.1.
- What can I use instead of fleet?
- Servers from other publishers that do the same job: agent-device MCP server, Pm Claude Skills MCP server and Mockserver MCP server.
- How does fleet compare with other AI and agents MCP servers?
- safety score 92/100 (higher than 90% of 4,460 AI and agents servers); downloads a week 656 (more than 90% of 1,538 AI and agents servers with a package). Full comparison.
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