PointrをChatGPT、Claude、Geminiに接続

• 01 / 03ビーコンのカバー範囲を監査する
• 02 / 03建物内の歩行ルートを算出する方法
• 03 / 03ジオフェンスの検証方法

Pointr 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_C80UHAWpnSofumPbQSlydWBY9PDBa9Vt5avQGQhi/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 — Pointr capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "pointr-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_C80UHAWpnSofumPbQSlydWBY9PDBa9Vt5avQGQhi/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？ Pointr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

  施設管理者

  AIを使用してビーコンの状態を定期的に確認し、オフラインのハードウェアを迅速に特定します。

• 02

  空間データエンジニア

  レイアウト構成を抽出し、ルーティングの制約条件をコードコンテキストに直接取り込みます。

• 03

  航空・小売プランナー

  空港やショッピングモールにおける群衆の流れをシミュレーションし、最適な動線を計画します。

• 01

  What can this MCP do with my indoor maps?

  It allows your AI client to read building layouts, list floor levels, and find specific points of interest or beacons within those maps.

• 02

  Does it support multi-floor navigation?

  Yes, the calculate_path capability is designed to handle multi-floor walking paths, including transitions like escalators.

• 03

  How do I use it with my existing AI client?

  Once you add the Pointr MCP to your client, you can use natural language to trigger any of the available capabilities.

• 04

  Can I use this to manage BLE beacons?

  Yes, you can use the list_beacons capability to see all registered hardware in your Pointr deployment.

• 05

  Is my data secure?

  The MCP uses your Enterprise Bearer Token to securely bridge your agent to the Pointr network.

• 06

  Can the agent calculate walking paths across multiple floors?

  Yes. When triggering calculate_path supplied with explicit coordinate pairings spanning different Level UUIDs, the Pointr engine bridges the wayfinding automatically. It factors in fixed transitions like elevators or stairs natively, feeding the Agent the comprehensive turn-by-turn array in JSON format seamlessly.

• 07

  Is it possible to extract the giant raw map shapes for a given floor?

  Absolutely. By initiating the query get_level_map tied securely to a single level UUID, the interface processes and downloads massive explicit geometries mapping out physical walls, traversable space nodes, and internal partitions explicitly generated by the Pointr pipeline.

• 08

  Can I search for specific stores or bathrooms using text queries?

  Yes. Pointr exposes dense fuzzy logic matching indexes. When the Agent executes search_pois feeding a literal keyword alongside the Target Building ID, it reliably unearths precisely mapped nodes conforming to 'Restroom', 'Exit', or custom store names embedded dynamically.

• 

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