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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 10:16:22 PM

Fleet

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sshgpumachine-managementdeveloper-tools

fleet MCP server lets coding agents inspect, select, and operate machines over SSH using live resource data.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Where:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "fleet": {
      "command": "uvx",
      "args": [
        "agents-fleet"
      ]
    }
  }
}

πŸ’‘ Settings β†’ Developer β†’ Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Install How it works Related FAQ Claim listing AlternativesπŸ’» More in Developer Tools Directory Badge

Overview

The fleet MCP server gives coding agents visibility into machines you already access over SSH, including GPU, VRAM, RAM, CPU, and disk status. It runs from a central machine, probes added hosts without requiring software installation there, and exposes fleet commands for discovery, SSH execution, and access control. Reach for it when an agent needs to choose an available GPU, run work on another host, inspect fleet-wide resources, or manage machine-to-machine access.

Use cases

β€’Find an idle GPU with enough VRAM for a training job
β€’Run tests on a remote Linux machine over SSH
β€’Inspect GPU, memory, disk, and process status across hosts
β€’Track hourly costs and identify idle rented machines
β€’Control which fleet machines can reach one another

Key features

β€’Live fleet-wide GPU, VRAM, CPU, RAM, and disk status
β€’SSH-based machine discovery and remote command execution
β€’Capability and tag-based host filtering
β€’Machine access allow and deny controls
β€’Rental cost tracking and idle-resource alerts
β€’No fleet installation required on managed SSH hosts

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Fleet.

Extracted Tool Capabilities
Live fleet-wide GPU, VRAM, CPU, RAM, and disk status
SSH-based machine discovery and remote command execution
Capability and tag-based host filtering
Machine access allow and deny controls
Rental cost tracking and idle-resource alerts
No fleet installation required on managed SSH hosts

How Fleet works

What fleet does

The fleet MCP server connects a coding agent to a set of machines reachable through SSH. It keeps the machine list at a central host and reports current resource information such as GPUs, free VRAM, CPU, RAM, disk space, operating system, and running GPU processes. This lets an agent select a host based on available capacity rather than relying only on machine names.

Added hosts can include workstations, GPU servers, laptops, NAS devices, and rented machines. Rental entries can include an hourly cost, allowing fleet to show burn rate and identify paid machines that are idle. The machines being managed do not need fleet installed; they need SSH access and a supported operating system such as Linux, macOS, or Windows.

How it works

Install fleet on the machine where you use your coding agents. That machine acts as the center for one fleet. Other machines are added with the SSH command or host configuration you already use. fleet probes each host through SSH and refreshes its hardware and availability data.

A second machine can join as a fleet member through an invite line if agents also run there. The center controls which machines may connect to one another, and access changes can be allowed or revoked with fleet commands. Credentials are not passed through the agent conversation. If a password is needed, the user enters it once, and fleet does not store it.

The fleet MCP server can be used through supported agent plugins and MCP application integrations. It does not require an account or cloud service, and the project states that it does not send telemetry or perform update checks.

Setup and configuration

Install on Linux or macOS with the project’s shell installer, or use the documented PowerShell installer on Windows. An agent can also be instructed to install from the repository. After installation, add machines with an SSH command, including optional identity files, ports, or configured SSH host names.

Use an invite when the center cannot directly reach a machine, or generate a key for a cloud-init template when provisioning a machine that does not yet exist. Rental pricing can be recorded with the fleet edit command. The project documents the files and SSH changes made on managed machines, including how to remove them.

Tools and capabilities

The fleet MCP server supports capabilities represented by commands including:

  • fleet ls for listing machines and current availability.
  • fleet ls --tag ... for filtering by capabilities such as CUDA or VRAM size.
  • fleet top for a live, fleet-wide resource view.
  • fleet show NAME for host details, GPU processes, services, and disks.
  • fleet ssh NAME -- COMMAND for running a command remotely.
  • fleet add and fleet invite for adding machines or creating join instructions.
  • fleet access for allowing or denying machine-to-machine access.
  • Rental cost tracking and idle paid-machine alerts.

Irreversible actions are intended to wait for user confirmation, while routine discovery and status checks can be handled by the agent.

Limitations and notes

The project requires SSH connectivity or an invitation-based join path. It is not a hosted inventory service, and the provided material does not describe support for machines that cannot be reached through either method. fleet must be installed on each center or member machine where agents need to use it; ordinary managed hosts only need SSH.

The README names integrations for Claude Desktop, Cursor, VS Code, Claude Code, Codex, Gemini CLI, and several other agent applications. Availability and installation steps vary by client, so use the client-specific guidance in the project documentation.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

npm downloads
121
Package downloads in the last 30 days.
Last commit
1d ago
Most recent push to the default branch.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Fleet

fleet is an MCP server that connects coding agents to machines you already reach over SSH. Its main tools list hosts, inspect live GPU, VRAM, RAM, CPU, and disk data, filter by capabilities, run remote commands, add machines, and control access between them. It runs from a central machine.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI
Last updatedOct 15, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit1d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 14, 2026
npm downloads121/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
43Quality signal: Fair Β· 43/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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