fast-xml-parser Connector for AI agents.
1 live capability
Get personalized podcast and news recommendations based on your actual subscriptions.
Waiting for input…
Why people use fast-xml-parser
OPML Podcast & RSS Parser: Stop letting messy XML ruin your AI recommendations
With this Connector, the process is different. You just point your agent to the file path. It strips away the junk and hands your agent a clean, flat list of your shows and feeds. You get accurate recommendations and a clear picture of your interests without the technical headache.
What Vinkius changes
Your agent gets a clear, noise-free map of your content subscriptions.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Personalized Show Recommendations
A user asks for 3 new tech shows.
- Real-world use case 02
Content Interest Audit
A user wants to know what they spend the most time on.
- Real-world use case 03
Feed Migration List
A user moves from one RSS reader to another and wants a clean list of all URLs from their old export to set up the new one.
Complete set · 1capability
The complete fast-xml-parser capability set.
These are the exact actions your AI can choose when you ask it to work with fast-xml-parser.
01
1 capability in this set.
Part of 1 available through fast-xml-parser.
- 01 Capability
Parse opml feeds
Converts an OPML file into a clean JSON list of subscriptions. It handles the heavy lifting of stripping out useless XML tags.
Set up in minutes
One URL. Then ask fast-xml-parser to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use fast-xml-parser from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_YR46PjFoCF3LaMb9sA2tHNa3Kujg7ua5Eta5uJGY/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it fast-xml-parser, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable fast-xml-parser for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_YR46PjFoCF3LaMb9sA2tHNa3Kujg7ua5Eta5uJGY/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the fast-xml-parser URL.
- Step 03
Save and start
Save the connection and enable fast-xml-parser in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"opml-podcast-rss-parser": {
"url": "https://edge.vinkius.com/vk_preview_YR46PjFoCF3LaMb9sA2tHNa3Kujg7ua5Eta5uJGY/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using fast-xml-parser
Open Agent mode in chat and ask: "Using fast-xml-parser, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"opml-podcast-rss-parser": {
"url": "https://edge.vinkius.com/vk_preview_YR46PjFoCF3LaMb9sA2tHNa3Kujg7ua5Eta5uJGY/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using fast-xml-parser
Ask Copilot: "Using fast-xml-parser, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"opml-podcast-rss-parser": {
"url": "https://edge.vinkius.com/vk_preview_YR46PjFoCF3LaMb9sA2tHNa3Kujg7ua5Eta5uJGY/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using fast-xml-parser
Open Cascade and ask: "Using fast-xml-parser, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"opml-podcast-rss-parser": {
"url": "https://edge.vinkius.com/vk_preview_YR46PjFoCF3LaMb9sA2tHNa3Kujg7ua5Eta5uJGY/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using fast-xml-parser
Ask Cline: "Using fast-xml-parser, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add opml-podcast-rss-parser --transport http "https://edge.vinkius.com/vk_preview_YR46PjFoCF3LaMb9sA2tHNa3Kujg7ua5Eta5uJGY/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using fast-xml-parser
Ask Claude: "Using fast-xml-parser, show me...". 1 tools are ready
Where the request belongs
Work fast-xml-parser can move forward.
This is for the heavy media consumer who has hundreds of feeds and wants their AI to actually know what they like instead of guessing based on broad categories.
Podcast Enthusiast
Uses this to find new shows that match their specific niche interests by showing the agent their current favorites.
Content Curator
Analyzes large RSS feeds to find recurring themes or specific topics across different industries.
News Junkie
Organizes Feedly exports to map out their news consumption across various tech and finance sectors.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsRSS Feed Parser
Turn any RSS 2.0 or Atom feed into clean, structured JSON. Extract titles, links, dates, authors, and full content from blogs, news sites, and podcasts. ready for your agent to process.
RSS / Atom Reader
Connect your AI assistant to any RSS or Atom feed worldwide to fetch news, updates, and articles instantly within your chat interface.
Miniflux (RSS Reader)
Manage your RSS feeds and read articles via Miniflux. discover feeds, list entries, and organize categories directly from your AI agent.
Inoreader
Follow hundreds of news sources and blogs with a powerful RSS reader that filters, organizes, and prioritizes content for you.
XML <-> JSON Converter
Parse legacy systems easily. Deterministically convert massive XML, SOAP, or RSS feeds into clean JSON (and back) without LLM hallucinations.
FeedBlitz
Manage mailing lists, RSS feeds, and email marketing campaigns through AI.
Bring your own AI
Change the model, client or framework. Keep fast-xml-parser connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about fast-xml-parser.
The practical details behind the request, access and result.
How does the OPML Podcast & RSS Parser help me find new shows?
It reads your current subscriptions to understand your specific tastes, then suggests new content that actually fits your style instead of just giving you generic popular hits.
Can I use the OPML Podcast & RSS Parser with Feedly?
Yes, it works with any standard OPML export, including those from Feedly, Pocket Casts, and Apple Podcasts.
Is my subscription data safe with the OPML Podcast & RSS Parser?
Yes, the parsing happens locally on your machine. Your data isn't uploaded to a third-party server, keeping your habits private.
What is an OPML file?
It's a standard format used by podcast apps and RSS readers to store your subscription list. This Connector turns that file into a format your AI can read easily.
Will the OPML Podcast & RSS Parser save me tokens?
Yes, because it flattens the XML into a clean JSON list, it removes all the unnecessary tags that usually waste your AI's context window.
How do I get my OPML file?
You can usually find an Export option in the settings of your podcast app or RSS reader. Once you have the file, you just give the path to your agent.
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.
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.
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.
One connection away
Give your agent a direct line to fast-xml-parser.
Connect fast-xml-parser once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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