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Rosterfy MCP by usefulapi

Rosterfy MCP by usefulapi

リモート
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リポジトリ公式サイト

Rosterfy MCP by usefulapi について

Read people, events, training and rewards; assign and remove people on shifts in Rosterfy.

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://rosterfy.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。

Rosterfy MCP by usefulapi

Use your Rosterfy account from Claude, Cursor, or any MCP client. Read people, events, shifts, training, certificates and reward points, and assign or remove people on shifts. Hosted, no local install: connect with your own credentials.

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

Connect

  • Claude (claude.ai, Desktop): open Customize → Connectors, click + Add → Add custom connector, and paste https://rosterfy.usefulapi.io/mcp.
  • Claude Code: claude mcp add --transport http rosterfy https://rosterfy.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": {
    "rosterfy": {
      "url": "https://rosterfy.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 Rosterfy credentials.

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

On first connect you provide the account name (acme for acme.rosterfy.com), a client id and client secret of a personal access client, and the email and password of a dedicated integration user. The server validates it and stores it per user. No keys go in config files.

Tools

ToolTypeWhat it does
rosterfy_get_current_userreadGet the current user
rosterfy_list_usersreadList users
rosterfy_get_userreadGet a user
rosterfy_list_eventsreadList events
rosterfy_get_eventreadGet an event
rosterfy_list_shift_assignmentsreadList shift assignments
rosterfy_get_shift_assignmentreadGet a shift assignment
rosterfy_list_training_modulesreadList training modules
rosterfy_list_training_assignmentsreadList training assignments
rosterfy_list_certificate_holdersreadList certificate holders
rosterfy_get_reward_balancereadGet a reward point balance
rosterfy_list_reportsreadList reports
rosterfy_get_reportreadGet a report
rosterfy_assign_user_to_shiftwriteAssign a user to a shift
rosterfy_remove_user_from_shiftwriteRemove a user from a shift
rosterfy_usage_statusmetaUsage status (free-tier meter)
rosterfy_request_featuremetaRequest a missing feature
rosterfy_upgrademetaUpgrade to Pro or Pro+
rosterfy_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 rosterfy_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 rosterfy_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 rosterfy_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。