Fleet MCP

Name: Fleet MCP
Author: SimplyMinimal

by SimplyMinimalversion 1.1.3i★ –iRuns on your computer

Registry nameio.github.SimplyMinimal/fleet-mcp

Install

Overview

Description from the maker (original English)

An MCP server that provides tools for managing and monitoring your Fleet Device Management instance.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Developer tools
You need to fill in: FLEET_SERVER_URL, FLEET_API_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: FLEET_SERVER_URL, FLEET_API_TOKEN, FLEET_READONLY, FLEET_ALLOW_SELECT_QUERIES, FLEET_VERIFY_SSL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "fleet": {
      "command": "uvx",
      "args": [
        "fleet-mcp"
      ],
      "env": {
        "FLEET_SERVER_URL": "your-value",
        "FLEET_API_TOKEN": "your-value",
        "FLEET_READONLY": "your-value",
        "FLEET_ALLOW_SELECT_QUERIES": "your-value",
        "FLEET_VERIFY_SSL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add fleet --env FLEET_SERVER_URL=your-value --env FLEET_API_TOKEN=your-value --env FLEET_READONLY=your-value --env FLEET_ALLOW_SELECT_QUERIES=your-value --env FLEET_VERIFY_SSL=your-value -- uvx fleet-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "fleet": {
      "command": "uvx",
      "args": [
        "fleet-mcp"
      ],
      "env": {
        "FLEET_SERVER_URL": "your-value",
        "FLEET_API_TOKEN": "your-value",
        "FLEET_READONLY": "your-value",
        "FLEET_ALLOW_SELECT_QUERIES": "your-value",
        "FLEET_VERIFY_SSL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "fleet": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "fleet-mcp"
      ],
      "env": {
        "FLEET_SERVER_URL": "your-value",
        "FLEET_API_TOKEN": "your-value",
        "FLEET_READONLY": "your-value",
        "FLEET_ALLOW_SELECT_QUERIES": "your-value",
        "FLEET_VERIFY_SSL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

FLEET_SERVER_URL required env
Your Fleet server URL (e.g., https://your-fleet-instance.com)
FLEET_API_TOKEN secret required env
Your Fleet API token. Get this from Fleet UI: My account > Get API token
FLEET_READONLY env
Enable read-only mode
FLEET_ALLOW_SELECT_QUERIES env
Allow SELECT queries in read-only mode. This allows you to run live queries.
FLEET_VERIFY_SSL env
Verify SSL certificates when connecting to your Fleet instance.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account SimplyMinimal, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– 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

Compared with others in Developer toolsi

More stars than 0% of the other 1396 servers in this category
Published to the registry more recently than 4% of the other 1396 servers in this category
Basic checks equal to or better than 100% of the other 1396 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 MCP safe?

It passed 1 of 1 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?

You need to fill in: FLEET_SERVER_URL, FLEET_API_TOKEN

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 –, and the latest version (1.1.3) reached the registry 9 months 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: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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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 MCP

A Model Context Protocol (MCP) server that enables AI assistants to interact with Fleet Device Management for device management, security monitoring, and compliance enforcement.

Demo

📸 Show/Hide Demo Screenshots

Features

Host Management: List, search, query, and manage hosts across your fleet
Live Query Execution: Run osquery queries in real-time against hosts
Policy Management: Create, update, and monitor compliance policies
Software Inventory: Track software installations and vulnerabilities across devices
Team & User Management: Organize hosts and users into teams
Osquery Table Discovery: Dynamic discovery and documentation of osquery tables
Read-Only Mode: Safe exploration with optional SELECT-only query execution
Activity Monitoring: Track Fleet activities and audit logs

Quick Start

Just want to dive right in? This will set up fleet-mcp with read-only access and SELECT query execution enabled. Just replace the FLEET_SERVER_URL and FLEET_API_TOKEN with your own.

"mcpServers": { "fleet": { "command": "uvx", "args": ["fleet-mcp", "run"], "env": { "FLEET_SERVER_URL": "https://your-fleet-instance.com", "FLEET_API_TOKEN": "your-api-token", "FLEET_READONLY": "true", "FLEET_ALLOW_SELECT_QUERIES": "true" } } } }

See the Available Tools section below for a complete list of tools.

<!--

Local Installation

From PyPI

pip install fleet-mcp

From Source

git clone https://github.com/SimplyMinimal/fleet-mcp.git

cd fleet-mcp pip install -e .

Using uv (recommended for development)

git clone https://github.com/SimplyMinimal/fleet-mcp.git

cd fleet-mcp uv sync --dev

</details> -->

<!-- ### 1. Initialize Configuration

fleet-mcp init-config

This creates a fleet-mcp.toml configuration file. Edit it with your Fleet server details:

[fleet]

server_url = "https://your-fleet-instance.com" api_token = "your-api-token" readonly = true # Safe default - enables read-only mode allow_select_queries = false # Set to true to allow SELECT queries

2. Test Connection

fleet-mcp test

3. Run the MCP Server

fleet-mcp run

MCP Client Configuration

Fleet MCP can be integrated with various MCP-compatible clients. Below are configuration examples for popular clients.

Prerequisites

Before configuring any MCP client, ensure you have:

Install `uv` (recommended) or pip:

   # Install uv (recommended)

curl -LsSf https://astral.sh/uv/install.sh | sh

Or use pip

pip install fleet-mcp

Fleet API Token: Generate an API token from your Fleet instance: Option 1)

Log into Fleet UI
Navigate to: My account → Get API token
Copy the token for use in configuration

Option 2)

Create an API-Only user with fleetctl

   # Generate an API-Only User and get the token

fleetctl user create --name Fleet-MCP --email --password --role admin --api-only

Note: This API token and your fleet instance URL (https://your-fleet-instance.com) will be used in the client configuration.

Pick Your Client: Choose your preferred AI assistant client and follow the corresponding setup instructions below.

Install in Claude Desktop

Configuration File Location

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json

Configuration

Note: Replace uvx with fleet-mcp if you've installed the package globally. For enhanced security, use --config flag to reference a TOML file instead of embedding tokens (see Security Best Practices).

Install in Cursor

Go to: Settings → Cursor Settings → MCP → Add new global MCP server

Install globally in ~/.cursor/mcp.json or per-project in .cursor/mcp.json. See Cursor MCP docs for more info.

Install in Cline (VS Code Extension)

Config Location: ~/.cline/mcp_settings.json (macOS/Linux) or %USERPROFILE%\.cline\mcp_settings.json (Windows)

Alternatively: VS Code Settings → Search "Cline: MCP Settings" → Edit JSON

Install in Continue (VS Code Extension)

Config Location: ~/.continue/config.json

"mcpServers": [ { "name": "fleet", "command": "uvx", "args": ["fleet-mcp", "run"], "env": { "FLEET_SERVER_URL": "https://your-fleet-instance.com", "FLEET_API_TOKEN": "your-api-token", "FLEET_READONLY": "true", "FLEET_ALLOW_SELECT_QUERIES": "true" } } ] }

Install in Zed Editor

Config Location: ~/.config/zed/settings.json (macOS/Linux) or %APPDATA%\Zed\settings.json (Windows)

"context_servers": { "fleet": { "command": { "path": "uvx", "args": ["fleet-mcp", "run"] }, "settings": { "env": { "FLEET_SERVER_URL": "https://your-fleet-instance.com", "FLEET_API_TOKEN": "your-api-token", "FLEET_READONLY": "true", "FLEET_ALLOW_SELECT_QUERIES": "true" } } } } }

Install in Windsurf

See Windsurf MCP docs for more info.

Install in VS Code

See VS Code MCP docs for more info.

"mcp": {

"servers": { "fleet": { "type": "stdio", "command": "uvx", "args": ["fleet-mcp", "run"], "env": { "FLEET_SERVER_URL": "https://your-fleet-instance.com", "FLEET_API_TOKEN": "your-api-token", "FLEET_READONLY": "true", "FLEET_ALLOW_SELECT_QUERIES": "true" } } } }

Install in Sourcegraph Cody

Config Location: ~/Library/Application Support/Cody/mcp_settings.json (macOS), %APPDATA%\Cody\mcp_settings.json (Windows), or ~/.config/Cody/mcp_settings.json (Linux)

Install in Augment Code

Via UI: Hamburger menu → Settings → Tools → + Add MCP → Enter uvx fleet-mcp run → Name: "Fleet" → Add

Manual Config: Settings → Advanced → Edit settings.json

"augment.advanced": {

Install in LM Studio

Navigate to Program → Install → Edit mcp.json. See LM Studio MCP Support.

Generic MCP Client Configuration

For other MCP-compatible clients, use this general pattern:

Configuration Options Reference

Environment Variable	Description	Default	Required
`FLEET_SERVER_URL`	Fleet server URL	-	✅
`FLEET_API_TOKEN`	Fleet API token	-	✅
`FLEET_READONLY`	Enable read-only mode	`true`	❌
`FLEET_ALLOW_SELECT_QUERIES`	Allow SELECT queries in read-only mode	`false`	❌
`FLEET_VERIFY_SSL`	Verify SSL certificates	`true`	❌
`FLEET_TIMEOUT`	Request timeout (seconds)	`30`	❌
`FLEET_MAX_RETRIES`	Maximum request retries	`3`	❌

Note: All clients above use the same environment variables. Replace uvx with fleet-mcp if installed globally.

Security Best Practices

Use Config Files: Store tokens in TOML files: "args": ["fleet-mcp", "--config", "~/.config/fleet-mcp.toml", "run"]
File Permissions: chmod 600 ~/.config/fleet-mcp.toml
Read-Only Mode: Start with FLEET_READONLY=true (default)
Token Rotation: Regularly rotate Fleet API tokens
Environment-Specific Configs: Use s

Only the beginning is shown; read the rest in the repo

Fleet MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

Fleet MCP

Demo

Features

Quick Start

From PyPI

From Source

Using uv (recommended for development)

2. Test Connection

3. Run the MCP Server

MCP Client Configuration

Prerequisites

Or use pip

Configuration File Location

Configuration

Configuration Options Reference

Security Best Practices