MCP For Claude Marketplace
OPML Podcast & RSS Parser

OPML Podcast & RSS Parser MCP Connector for Claude

A+

Turn standard OPML export files from your podcast app or RSS reader into clean JSON data. Let your AI analyze your subscriptions and become your personal content curator.

1 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

When you want Claude to recommend new podcasts or blogs based on what you already consume, you export an .opml file from Apple Podcasts, Pocket Casts, or Feedly. But XML outlines are noisy, recursive, and confusing for LLMs to read efficiently.

This MCP uses a fast, deterministic XML parser to flatten the OPML hierarchy into a simple, structured list of your subscriptions, dropping all the unnecessary XML tags and attributes.

The Superpowers

  • Universal Support: Parses OPML files from any standard podcast player or RSS reader.
  • Zero Token Waste: Converts heavy XML markup into a clean, flat JSON array.
  • Local Privacy: Your subscription habits are parsed locally, ensuring they aren't uploaded to a public server.
  • Assistant Ready: Turn Claude into your personal entertainment and news curator.
rsspodcast-managementxml-parsingdata-transformationcontent-curationsubscription-management

1 tools expose this connector's capabilities to your AI agent.

parse_opml_feeds

Provide the absolute file path. Parse an OPML file (Podcast or RSS feed export) into a clean JSON list of subscriptions

See how to talk to your AI agent using OPML Podcast & RSS Parser.

Read my podcasts.opml file and recommend 3 new tech podcasts I might like.

Based on your 15 current tech subscriptions (like Lex Fridman), I highly recommend: 1. Hard Fork, 2. Syntax, 3. The Vergecast.

Extract all the RSS URLs from my Feedly export and format them as a Markdown table.

| Title | RSS Feed URL | |-------|-------------| | Wired | wired.com/feed | | TechRadar | techradar.com/rss |

Analyze my OPML file and tell me what my primary interests are.

Looking at your 45 subscriptions, your primary interests are: 1. Artificial Intelligence (12 feeds), 2. Economics (8 feeds), 3. Design (5 feeds).

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.

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