OPML Podcast & RSS ParserをAIに接続

• 01 / 03コンテンツの関心事を可視化する
• 02 / 03OPMLをMarkdownに変換する方法
• 03 / 03ポッドキャストのレコメンドを受ける

最速日

805ms

最遅日

1167ms

14日間の傾向

安定+3%

OPML Podcast & RSS Parser 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_YR46PjFoCF3LaMb9sA2tHNa3Kujg7ua5Eta5uJGY/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 — OPML Podcast & RSS Parser capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "opml-podcast-rss-parser-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_YR46PjFoCF3LaMb9sA2tHNa3Kujg7ua5Eta5uJGY/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？ OPML Podcast & RSS Parser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

  Content Curators

  They hand off OPML files to the AI to find new sources or organize feeds.

• 02

  Power Users

  They use the parsed data to build custom dashboards or lists from their RSS readers.

• 03

  Researchers

  They provide subscription exports to help an agent map out specific industry interests.

• 01

  What apps can I use this with?

  You can use this with any app that exports standard OPML files, such as Apple Podcasts, Pocket Casts, or Feedly.

• 02

  Does this work with any AI client?

  Yes, this MCP works with any MCP-compatible client like Claude, Cursor, or Windsurf.

• 03

  Is my data private?

  Yes, the parsing happens locally, so your subscription habits aren't uploaded to a public server.

• 04

  Why not just give the XML file directly to my AI?

  XML files are often recursive and noisy, which wastes tokens. This MCP flattens the data into clean JSON so your agent can process it more efficiently.

• 05

  How do I get started?

  You connect the MCP through the Vinkius platform, which hosts and manages the connection for you.

• 06

  Does it support nested subscription categories?

  Yes! It recursively scans through folder nodes (like 'Tech News' -> 'AI') in the OPML file to extract the actual feed URLs, flattening them into a clean list for the AI.

• 07

  What specific data is extracted?

  It extracts the Title, the XML (RSS) URL, and the HTML (Website) URL for every single subscription found in the file.

• 08

  Can it subscribe to new podcasts for me?

  No, this is a read-only parsing capability. It allows the AI to understand what you currently listen to so it can make intelligent recommendations.

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