Local Experience Post Visit PlanをAIに接続

最速日

743ms

最遅日

1071ms

14日間の傾向

改善傾向-6%

Local Experience Engine 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_bIEBwh5h2NA5dtCcdp4b2iYNLIioo26tE2Yut0Si/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 — Local Experience Engine capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "local-experience-post-visit-plan-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_bIEBwh5h2NA5dtCcdp4b2iYNLIioo26tE2Yut0Si/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？ Local Experience Engine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

  体験型ツアー運営者

  顧客へのアフターフォローやフィードバック管理を効率化したい事業者。

• 02

  カスタマーエクスペリエンス担当者

  ユーザーの満足度を分析し、リピート率を高めるための施策を自動化したい担当者。

• 03

  観光プラットフォーム管理者

  ユーザーのプライバシー保護と、パーソナライズされた体験提案を両立させたい管理者。

• 01

  What does this MCP actually do?

  It manages the workflow that happens after a user completes an experience. It handles privacy, feedback, and planning for future activities.

• 02

  Which AI clients can I use with this?

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

• 03

  How does it handle privacy?

  It uses the analyze_privacy_and_sharing capability to check user consent and provider terms before any data is shared.

• 04

  Can it help me suggest new things for users to do?

  Yes. It uses the construct_next_experience_prompt capability to suggest activities based on what the user just experienced.

• 05

  Do I need to host this myself?

  No. Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

• 06

  How does the server handle user privacy?

  The analyze_privacy_and_sharing capability ensures that data is only shared if explicit user consent is provided and no provider terms prohibit it.

• 07

  Can I automate thank-you notes to providers?

  Yes, generate_engagement_actions creates appropriate responses, such as thank-you notes for positive experiences or issue reports for unresolved problems.

• 08

  How are future activity suggestions generated?

  The construct_next_experience_prompt capability uses both the user's future interests and their previous impressions to create personalized suggestions.

• 

  Local Experience Feedback Planner AIコネクタ

  Generate structured, factual, and low-disclosure feedback plans for local experiences.

  表示
• 

  Local Experience Gift Planner AIコネクタ

  Plan perfect local gifts by matching recipient interests with available experiences and provider terms.

  表示
• 

  UserStack User-Agent Lookup AIコネクタ

  Universal User-Agent intelligence — detect devices, browsers, and OS via AI.

  表示
• 

  Local Experience Companion Plan AIコネクタ

  Coordinate local activities with companions through mutual agreement and role-based planning.

  表示

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  Local Food & Culture Experience Planner AIコネクタ

  Plan cohesive cultural dining itineraries by synthesizing user preferences, dietary needs, and venue constrain

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• 

  Local Experience Planner AIコネクタ

  Transform lifestyle constraints into a structured annual roadmap of local experiences.

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• 

  Local History Experience Planner AIコネクタ

  Transform historical site data into structured itineraries, preparation tasks, and engagement guides.

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• 

  Local Library Experience Plan AIコネクタ

  Synthesize library requirements, membership status, and program availability into a comprehensive visit plan.

  表示