GitDiagram
Architecture diagrams, explanations and Mermaid source for public GitHub repositories.
Runs in the cloud✓ service owner · gitdiagram.comTried by the PopNx team
fleet
What it does
Every machine you have, for your agent: free GPUs, jobs, served models, software, over SSH.
- Connects Runs on your computer
- Account or key No key needed
- Category Developer tools
Install
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Let AI install it
Copy this message into a Claude chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server fleet for Claude on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "fleet": { "command": "uvx", "args": [ "agents-fleet", "mcp" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the fleet tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
When it’s done, close Terminal, open it again and run the same command. You should see a version number:
uv --versionInstall once; it works for everything that needs uv
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Paste these settings and save the file
{ "mcpServers": { "fleet": { "command": "uvx", "args": [ "agents-fleet", "mcp" ] } } }Quit Claude and open it again
Try it
Use fleet and tell me what you can do for me, then show me one thing✓ If Claude says it is using fleet or shows a fleet tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect fleet yet
fleet runs on your computer, but ChatGPT can only connect servers that run on the web
What you can do instead
A · Use an app that can connect fleet
- Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
- Install Python (uv) on your computer first (one time)
- Install Python (uv) on your computer first (one time)
- Install Python (uv) on your computer first (one time)
B · Others in Developer tools that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
- Sentry✓ ChatGPT
- Compiler Explorer✓ ChatGPT
- GitDiagram✓ ChatGPT
Works with Claude Code, with some setup first
Install Python (uv) on your computer first (one time)
Let AI install it
Copy this message into a Claude Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server fleet for Claude Code on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): claude mcp add --scope user fleet -- uvx agents-fleet mcp 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the fleet tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
When it’s done, close Terminal, open it again and run the same command. You should see a version number:
uv --versionInstall once; it works for everything that needs uv
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Paste this command and press Enter
claude mcp add --scope user fleet -- uvx agents-fleet mcpType /mcp in Claude Code
You should see fleet listed as connected
Try it
Use fleet and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using fleet or shows a fleet tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Python (uv) on your computer first (one time)
Let AI install it
Copy this message into a Cursor chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server fleet for Cursor on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "fleet": { "command": "uvx", "args": [ "agents-fleet", "mcp" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the fleet tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
When it’s done, close Terminal, open it again and run the same command. You should see a version number:
uv --versionInstall once; it works for everything that needs uv
Open the AI chat in Cursor in Agent mode
Try it
Use fleet and tell me what you can do for me, then show me one thing✓ If Cursor says it is using fleet or shows a fleet tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Python (uv) on your computer first (one time)
Let AI install it
Copy this message into a VS Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server fleet for VS Code on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "servers": { "fleet": { "type": "stdio", "command": "uvx", "args": [ "agents-fleet", "mcp" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the fleet tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
When it’s done, close Terminal, open it again and run the same command. You should see a version number:
uv --versionInstall once; it works for everything that needs uv
Open the AI chat in VS Code in Agent mode
Try it
Use fleet and tell me what you can do for me, then show me one thing✓ If VS Code says it is using fleet or shows a fleet tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
For developers: Terminal commands and JSON settings
Installed on your computer
Claude Code
claude mcp add --scope user fleet -- uvx agents-fleet mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"fleet": {
"command": "uvx",
"args": [
"agents-fleet",
"mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"fleet": {
"command": "uvx",
"args": [
"agents-fleet",
"mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"fleet": {
"type": "stdio",
"command": "uvx",
"args": [
"agents-fleet",
"mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
At a glance
- Downloads per weeki
- 90/wk
- Connection
- Runs on your computer
- Latest versioni
- 0.6.2
- Categoryi
- Developer tools
- Published to registryi
- Oct 30, 2026
- Code last changedi
- Nov 11, 2026
- Maker
- sinolion
- Packages
pypi: agents-fleet- Website
- github.com
- Registry status
- Active
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Related guides
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 16, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account sinolion, which owns the repo
- ✓ Pass
Still maintained
Code last changed 5 days ago
- ✓ Pass
Has a licence
Uses MIT
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Published vulnerabilities (OSV.dev)
No entries on OSV.dev for agents-fleet@0.6.2
Checks only this package version, not every dependency · checked Nov 16, 2026
Makers: ask for a re-check or report wrong info
Discussion
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
User reviews
No reviews yet
Compared with others in Developer toolsi
- More stars than 0% of the other 5932 servers in this category
- Published to the registry more recently than 61% of the other 5932 servers in this category
- Basic checks equal to or better than 100% of the other 5932 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is fleet safe?
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed 5 days ago, and the latest version (0.6.2) reached the registry 17 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: GitDiagram, Appllama, Cloudflare MCP, Omnara, Repowise
Similar alternatives
Same category, other makers, commands already checked. Official ones first, then by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Appllama
Study screens, flows and paywalls from top-earning iOS apps, then build from what wins.
Runs in the cloud✓ service owner · appllama.io
Cloudflare MCP
Cloudflare MCP servers
Runs in the cloud✓ service owner · mcp.cloudflare.comTried by the PopNx team
Omnara
Deploy durable AI agents with Omnara, an open-source managed-agent platform.
Runs in the cloud✓ service owner · omnara.com
Repowise
Codebase intelligence for AI coding agents: graph, git history, docs, decisions, code health.
Computer or cloud✓ service owner · repowise.dev
- GitDiagram — Runs in the cloud, nothing to install · No key needed
- Appllama — Runs in the cloud, nothing to install · No key needed
- Cloudflare MCP — Runs in the cloud, nothing to install · No key needed · In Claude’s directory
- Omnara — Runs in the cloud, nothing to install · No key needed
- Repowise — Cloud or install on your computer · No key needed
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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 and what is running on it, the models being served, the software installed, and where your models and data live.**
No account, no cloud service, nothing installed on the machines you add, no keys handed out: fleet logs in exactly as you do, with the SSH you already use.
https://github.com/user-attachments/assets/d35e0200-c2a2-44aa-8f60-a3b6e4addfb7
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. - It cannot see what is running, or what is already there — whose job is on that card, which box already serves Llama 3, where the datasets live — so it downloads and installs things twice.
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/sinolion/fleetAgents: the steps are in INSTALL.md.
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 — or let it look in your ~/.ssh/config and on your tailnet for machines you can already reach:
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:
| The machine | What you tell the agent |
|---|---|
| a server you can already SSH into | "add ssh ubuntu@10.0.0.7" — fleet logs in as you do, with your key |
| one you reach with a particular key file | "add ssh -i ~/.ssh/my_key ubuntu@1.2.3.4" — or a Host from your ~/.ssh/config |
| a machine on your tailnet | "find my machines" — it lists your ssh config hosts and tailnet machines, and adds the ones you pick |
| a new rental (vast.ai, RunPod, AutoDL) | "add ssh -p 40001 root@1.2.3.4, it costs $1.89/hr" — with the key on your provider account |
| one that only takes a password | "add it" — fleet offers ssh-copy-id, you type the password once into ssh, and your key goes on it |
| one that will not let you in | "why can't you reach the NAS?" — fleet doctor names the one thing to fix |
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:
You: train
train.pyon whatever has a free 24 GB card
Agent:
rtx4090has 23.1 GB free and an idle GPU;a100-spotis free too but costs
$1.89/hr. Starting on
rtx4090, logging totrain.log.
| You say | How the agent finds it |
|---|---|
| "what's free right now?" | every machine checked, the free ones listed |
| "find me a box with a 24 GB card" | matched by what machines have — NVIDIA or AMD, VRAM, cores, RAM — not by name |
| "run the tests on the Linux box" | the machine that runs Linux, results brought back |
| "what's costing me money?" | idle paid rentals flagged, with their hourly price |
| "who is using the GPUs?" | every job on every card — user, VRAM, how long, the command |
| "is Llama 3 already served somewhere?" | every model server's models, and the URL or ssh tunnel to reach it |
| "which box has torch 2.5 and CUDA 12?" | each machine's CUDA or ROCm, Python environments and package versions |
| "download the dataset where datasets go" | the folder that machine says holds datasets, and the room left there |
Keys and passwords never go into the conversation, and anything irreversible waits for your yes.
Only install fleet where you use it. The machines you add need nothing but SSH. Install fleet on another machine only if you also run agents there; it works the same everywhere, with nothing to join or sync. There, fleet ls --discover lists the machines in your ssh config and on your tailnet; the ones you added by hand are in one file you can share with your dotfiles.
An app that cannot run commands?
Desktop apps and editors get fleet in one click; it runs as an MCP server:
| App | Install |
|---|---|
| Claude Desktop | open fleet.mcpb from the latest release |
| Cursor | |
| VS Code |
Plus plugins for Claude Code, Codex, Copilot CLI and Gemini CLI, and OpenCode, Amp, Windsurf, Cline, Zed, Qwen Code, Goose, Kiro, Hermes — 35+ agents in all: [every agent →](docs/guides/agents.md)
Built to be safe
- Nothing to install on your machines. fleet probes with one script over one SSH connection — Linux, macOS or Windows. A NAS or a fresh rental works as it is. The few files it does leave there are listed in What fleet changes.
- No keys handed out, no access managed. fleet connects exactly as you do — your ssh config, your keys and agent, Tailscale SSH, your rental provider's key — and writes no keys anywhere. Who may reach what stays where you already decide it. When a machine refuses,
fleet doctortells you the fix; fleet never makes it. - No passwords. fleet never asks for one or stores one, and the agent never sees a credential. Secrets in a GPU job's command line are blanked before anyone sees them.
- The agent asks, not guesses. It is told to ask which machine you mean, to leave irreversible commands to you, and not to start work on a GPU someone else is using.
- Nothing phones home. Apart from installing and updating itself, fleet talks to your machines and nothing else: no account, no telemetry, no update check. Found a flaw? SECURITY.md says how to report it privately.
Prefer the command line?
Everything the agent does is a plain fleet command. To install fleet yourself, run this on the machine you work from (this is also what your agent runs when you ask it):
curl -LsSf https://raw.githubusercontent.com/sinolion/fleet/main/install.sh | shWindows: powershell -ExecutionPolicy ByPass -c "irm https://raw.githubusercontent.com/sinolion/fleet/main/install.ps1 | iex"
Then drive it yourself:
fleet ls # every machine, with what is free right nowfleet ls --tag cuda --tag vram-24g # by capability: NVIDIA, a card of 24 GB or more fleet ls --tag rocm # every AMD machine fleet top # live view, like htop for the whole fleet fleet show gpu-box # one machine in detail: jobs, software, models, folders fleet ps # every job on every GPU, and which GPUs are idle fleet models # every model being served, and how to reach it fleet edit gpu-box --path models=/data/models # where that machine keeps its models fleet ssh gpu-box -- nvidia-smi # run something there fleet add "ssh ubuntu@10.0.0.7" # add a machine fleet ls --discover # machines in your ssh config and on your tailnet fleet doctor nas # why a machine will not let you in, and the fix
Where a machine keeps its models, datasets and media is written on the machine itself, in machine.yaml (fleet edit NAME --path models=/data/models). Whoever looks at that machine reads the same answer, and the folder sizes and free space come with every probe.
Rentals from vast.ai, RunPod or AutoDL show their price (fleet edit a100 --cost 1.89), the fleet's burn rate, and an alert when a rental sits idle. On Tailscale, ZeroTier or WireGuard? fleet just needs an address it can route to.
How fleet compares
fleet is about the machines you already have. It complements tools that launch new ones.
ssh + nvidia-smi | nvitop / gpustat | all-smi / gpuwho | SkyPilot / dstack | fleet | |
|---|---|---|---|---|---|
| All your machines in one view | ✗ | ✗ one machine | ✓ | ✓ the ones it manages | ✓ |
| Built for coding agents (skill / MCP) | ✗ | ✗ | ✗ | partly | ✓ |
| Nothing installed on target machines | ✓ | ✗ | gpuwho ✓, all-smi ✗ | ✗ | ✓ |
| Jobs, served models, software, data folders | ✗ | jobs, one machine | jobs | ✗ | ✓ |
| NVIDIA, AMD and Apple GPUs | NVIDIA | NVIDIA | all-smi ✓ | ✓ | ✓ |
| Launches new cloud VMs | ✗ | ✗ | ✗ | ✓ | ✗ |
| History, alerts sent to you | ✗ | ✗ | all-smi ✓ | partly | ✗ alerts when asked |
When to use something else. To rent GPUs on demand at the lowest price, use SkyPilot or dstack: they launch and stop machines, and fleet does not. For weeks of metrics and paging on a large cluster, use DCGM with Prometheus and Grafana. For a live dashboard of many accelerator kinds (Gaudi, NPUs), use all-smi. fleet is for the machines you already have, and for letting your agent use them.
Why not just Tailscale, Ansible, or an `~/.ssh/config`? Use them with fleet, not instead of it