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Connect OPML Podcast & RSS Parser to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn messy XML exports into structured data for your AI.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through OPML Podcast & RSS Parser.

  1. 01

    Parse opml feeds

    This capability converts an OPML file into a structured JSON list of subscriptions. You just provide the absolute file path to get started.

Real work

What teams actually run

01

Personalized Recommendations

Upload your podcast export and ask your agent for new shows based on your current list.

02

Interest Mapping

Let your agent analyze your RSS feeds to tell you which topics you follow most closely.

03

Data Conversion

Turn a messy OPML file into a clean Markdown table of URLs and titles.

04

Feed Organization

Use the parsed JSON to help your agent categorize your various content streams.

Automate a task

Put OPML Podcast & RSS Parser to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

OPML Podcast & RSS Parser works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put OPML Podcast & RSS Parser to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

1012ms average. Fast in production.

OPML Podcast & RSS Parser is checked daily against the live service.

Daily averagePeak 1167ms
Oct 3Today
Fastest day
805ms
Slowest day
1167ms
14-day trend
Stable+3%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of OPML Podcast & RSS Parser, so you can see the experience inside your AI.

It does not authenticate your account with OPML Podcast & RSS Parser. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

OPML Podcast & RSS Parser Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_YR46PjFoCF3LaMb9sA2tHNa3Kujg7ua5Eta5uJGY/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  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.
Configuration · claude_desktop_config.jsonCopy
{
  "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

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up OPML Podcast & RSS Parser in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work OPML Podcast & RSS Parser owners hand off.

This is for anyone who wants to use their existing media subscriptions to train or guide their AI agents.

  • 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.

FAQ

Questions OPML Podcast & RSS Parser owners ask.

  • 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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