PlaneをChatGPT、Claude、Geminiに接続

• 01 / 03プロジェクト構造を分析する方法
• 02 / 03スプリントの進捗を監査する
• 03 / 03チケットの詳細情報を取得する

最速日

716ms

最遅日

1059ms

14日間の傾向

遅延傾向+16%

Plane 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_JKhdKYJDP25kJTYdQUGpXsbfCZz7sthr9OpDTwzO/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 — Plane capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "plane-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_JKhdKYJDP25kJTYdQUGpXsbfCZz7sthr9OpDTwzO/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？ Plane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

  プロジェクトマネージャー

  現在のサイクル内の未完了タスクを即座に取得し、進捗状況を動的に要約できます。

• 02

  リードエンジニア

  IDEを離れることなくチケットのバックログを確認し、コード作成とモジュール要件の検証を連続して行えます。

• 03

  プロダクトチーム

  ビジュアルプランナーのインターフェースを操作することなく、モジュールとラベルの照合が可能です。

• 01

  Does this work with self-hosted Plane instances?

  Yes. You can provide your own self-hosted API URL during setup to connect to your private instance.

• 02

  Which AI clients can use this MCP?

  Any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code can use this connector.

• 03

  What do I need to get started?

  You will need a Plane Personal API Key to authenticate your agent with your workspace.

• 04

  Can the AI create new issues?

  This specific MCP focuses on retrieving and reading data like projects, cycles, modules, and work items.

• 05

  Is my data hosted by Vinkius?

  Vinkius hosts the MCP and manages the connection, allowing you to connect your client with one click.

• 06

  Can my AI automatically aggregate all open issues inside our active sprint?

  Yes. First, request the active iteration window by calling list_cycles. The agent will isolate today's active cycle bounds. Following that, it will invoke list_work_items directly constrained by that cycle object, outputting an exhaustive summary of untouched or blocking tickets.

• 07

  How does the agent handle custom workspace slugs or self-hosted URLs?

  The system dynamically accepts a PLANE_BASE_URL credential. If you are doing an on-premise installation running inside your homelab or company AWS cloud, you merely inject your private domain (e.g., https://plane.internal.acme.com). The workspace slug is seamlessly accepted as a contextual execution parameter during standard query prompts.

• 08

  Can I request specific details of a long-term module (epic)?

  You can instruct the agent to execute list_modules. It extracts the cross-functional epics spanning your workspace project. Your AI can read these top-level module architectures to contextually understand what the core functionality of the project repository aims to achieve.

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