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Scalefusion MCP by usefulapi

Scalefusion MCP by usefulapi

リモート
usefulapi.ioその他1今日更新
リポジトリ公式サイト

Scalefusion MCP by usefulapi について

Read managed devices and groups, and lock, unlock, reboot or move devices in Scalefusion.

設定

リモートサーバーはインストール不要です。クライアントを選んで設定をコピーするか、ワンクリックで導入できます。

エンドポイントhttps://scalefusion.usefulapi.io/mcp
インストールコマンドをコピー
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

コマンドはターミナルで実行し、JSON は各クライアントの MCP 設定に貼り付けて再起動します。認可が必要なサーバーは初回接続時にログインを求めます。

ツール

README(原文)English

プロジェクトの README より

この README の日本語訳はまだありません。以下は英語の原文です。日本語の紹介はページ上部をご覧ください。

Scalefusion MCP by usefulapi

Use your Scalefusion account from Claude, Cursor, or any MCP client. Read managed devices and groups, and lock, unlock, reboot or move devices. Hosted, no local install: connect with your own credentials.

Live endpoint: https://scalefusion.usefulapi.io/mcp · Homepage: https://usefulapi.io

Connect

  • Claude (claude.ai, Desktop): open Customize → Connectors, click + Add → Add custom connector, and paste https://scalefusion.usefulapi.io/mcp.
  • Claude Code: claude mcp add --transport http scalefusion https://scalefusion.usefulapi.io/mcp, then run /mcp to log in.
  • VS Code: Add to VS Code.
  • Cursor and other clients: add the URL as a remote MCP server:
{
  "mcpServers": {
    "scalefusion": {
      "url": "https://scalefusion.usefulapi.io/mcp"
    }
  }
}

Add only the URL. Do not add an Authorization header or an API key to the client config: the server signs you in with OAuth, and the login page asks for your Scalefusion credentials.

Step-by-step setup, where to find your credentials, and FAQ: https://usefulapi.io/scalefusion/

On first connect you provide your Scalefusion instance region (Global, India, USA or MEA) and your Developer API key (Integrations → Developer API; the account needs the Developer API permission). The server validates them and stores them per user. No keys go in config files.

Tools

ToolTypeWhat it does
scalefusion_list_devicesreadList managed devices
scalefusion_get_devicereadGet device details
scalefusion_search_devicesreadSearch devices by IMEI or serial number
scalefusion_get_device_batteryreadGet device battery
scalefusion_get_device_locationsreadGet last device locations
scalefusion_get_device_monthly_data_usagereadGet monthly data usage
scalefusion_list_device_profilesreadList device profiles
scalefusion_list_device_groupsreadList device groups
scalefusion_lock_deviceswriteLock devices
scalefusion_unlock_deviceswriteUnlock devices
scalefusion_reboot_devicewriteReboot a device
scalefusion_change_device_groupwriteMove a device to another group
scalefusion_update_exit_passcodewriteSet a device exit passcode
scalefusion_clear_app_datawriteClear app data on devices
scalefusion_usage_statusmetaUsage status (free-tier meter)
scalefusion_request_featuremetaRequest a missing feature
scalefusion_upgrademetaUpgrade to Pro or Pro+
scalefusion_cancel_subscriptionmetaCancel the Pro subscription

read tools are read-only; write tools mutate data (clients should confirm them); meta tools report usage, manage your subscription or send a feature request.

Pricing

PlanPriceLimit
Free$050 tool calls / month
Pro (per user)$9/mo or $90/yr (2 months free)10,000 tool calls / month
Pro+ (per user)$39/mo or $390/yr (2 months free)100,000 tool calls / month

Each paid plan covers this server only. Ask your AI to run scalefusion_upgrade and choose Pro or Pro+, billed monthly or yearly (it returns a Stripe Checkout link). If you already have Pro, ask to change it to Pro+. The change requires your confirmation, keeps your billing interval and charges the price difference for the rest of the period immediately. Cancel any time with scalefusion_cancel_subscription: your paid plan continues to the end of the paid period, with no refund for the current period, and asking to resume the same plan with scalefusion_upgrade before then undoes the cancel. Or write to [email protected].

License

MIT — see LICENSE. Documentation only; the server is hosted.

コメント

MCP は初めてですか?

プロトコルの概要から最初のサーバーの導入まで、よくある疑問にまとめて答えます。

AI アプリケーションが外部のツールやデータソースに統一的な方法で接続するためのオープンなプロトコルです。クライアントはモデルとの対話を担い、MCP サーバーはツール・リソース・プロンプトテンプレートを提供します。標準メッセージでやり取りするため、1 つのサーバーを複数のクライアントで再利用できます。