Lindy Autonomous AI EmployeesをAIに接続

• 01 / 03エージェントのロジックをデバッグする
• 02 / 03エージェントの実行状況を監視する
• 03 / 03ワークフローの起動方法

最速日

711ms

最遅日

1079ms

14日間の傾向

安定0%

Lindy Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_c2F5Hk7TPFg1Cz9vjMKKvEPPvQH0HYkK2vL7pHhF/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Lindy capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "lindy-autonomous-ai-employees-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_c2F5Hk7TPFg1Cz9vjMKKvEPPvQH0HYkK2vL7pHhF/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ LindyをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  オペレーションマネージャー

  専門的なLindyを起動して反復的なワークフローを自動化し、実行履歴を会話形式で監視します。

• 02

  デベロッパー

  手動のAPIテストを行うことなく、ワークスペースから直接エージェントのロジックをデバッグし、推論ログを調査します。

• 03

  創業者・経営層

  AIの外部連携状況を監査し、チームをまたいで稼働する自動化ワーカーのパフォーマンスを効率的に把握します。

• 01

  How do I connect my Lindy account?

  You just need to subscribe to the MCP on Vinkius and enter your Lindy API Token. Once that is done, you can use it immediately in any compatible client.

• 02

  Can I stop a Lindy if it gets stuck?

  Yes. You can use the cancel run capability to send a hard stop to an execution, which is specifically designed to interrupt agents stuck in context loops.

• 03

  What clients can I use with this MCP?

  You can use this with any MCP-compatible client, including Claude, Cursor, and Windsurf.

• 04

  How do I see why an agent made a certain decision?

  You can use the get run logs capability to dump the literal LLM reasoning logs for a specific run, allowing you to see the agent's step-by-step logic.

• 05

  Does this work with my existing Slack or Gmail integrations?

  Yes. You can use the list integrations capability to see and manage the secure connections your Lindies have with third-party apps.

• 06

  Can I see exactly how my Lindy made a specific decision?

  Yes. Use the get_run_logs capability with a specific Run ID. Your agent will retrieve the literal LLM reasoning loops and step-by-step validations, giving you full transparency into the autonomous agent's logic.

• 07

  How do I trigger an autonomous task through a conversation?

  The trigger_lindy capability allows you to start an asynchronous task run. You just need to provide the Lindy ID and a JSON payload defining the inputs for the task. Your agent will fire the job and return a Run ID for status tracking.

• 08

  Can my agent list which third-party apps my Lindies are connected to?

  Absolutely. Use the list_integrations capability to retrieve all active third-party app connections. Your agent will report which channels (like Slack, Gmail, or HubSpot) are securely connected to your workspace.

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