Fleet MCP

Name: Fleet MCP
Author: SimplyMinimal

作者：SimplyMinimal版本 1.1.3i★ –i在你的电脑上运行

注册名称io.github.SimplyMinimal/fleet-mcp

安装

概览

作者提供的说明（英文原文）

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 开发者工具
你需要填写：FLEET_SERVER_URL, FLEET_API_TOKEN

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： FLEET_SERVER_URL, FLEET_API_TOKEN, FLEET_READONLY, FLEET_ALLOW_SELECT_QUERIES, FLEET_VERIFY_SSL

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 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"
      }
    }
  }
}

在终端中运行这条命令

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

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.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"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "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"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

FLEET_SERVER_URL 必填 env
Your Fleet server URL (e.g., https://your-fleet-instance.com)
FLEET_API_TOKEN 机密必填 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.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 SimplyMinimal 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

星标数多于此分类中其他 1396 个服务器的 0%
发布到注册中心的时间比此分类中其他 1396 个服务器的 4% 更新
基础检查结果等于或优于此分类中其他 1396 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Fleet MCP 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：FLEET_SERVER_URL, FLEET_API_TOKEN

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.1.3）于9个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它？

同一分类中有：GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者：github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新

安装

Desktop Commander

作者：wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新

安装

Cloudflare MCP

作者：cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

只显示了开头部分；其余内容请在仓库中阅读

Fleet MCP

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“开发者工具”中的其他服务器比较i

常见问题

替代选择

GitHub

Desktop Commander

Cloudflare MCP

作者的 README

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