Compatible with every major AI agent and IDE
What is the OPML Podcast & RSS Parser MCP Server?
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.
Built-in capabilities (1)
Provide the absolute file path. Parse an OPML file (Podcast or RSS feed export) into a clean JSON list of subscriptions
Why Cursor?
Cursor's Agent mode turns OPML Podcast & RSS Parser into an in-editor superpower. Ask Cursor to generate code using live data from OPML Podcast & RSS Parser and it fetches, processes, and writes. all in a single agentic loop. 1 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
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Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
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MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
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VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
OPML Podcast & RSS Parser in Cursor
OPML Podcast & RSS Parser and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect OPML Podcast & RSS Parser to Cursor through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for OPML Podcast & RSS Parser in Cursor
The OPML Podcast & RSS Parser MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 1 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Cursor only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
OPML Podcast & RSS Parser for Cursor
Every tool call from Cursor to the OPML Podcast & RSS Parser MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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 tool. It allows the AI to understand what you currently listen to so it can make intelligent recommendations.
What is Agent mode and why does it matter for MCP?
Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.
Where does Cursor store MCP configuration?
Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.
Can Cursor use MCP tools in inline edits?
No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.
How do I verify MCP tools are loaded?
Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.
Tools not appearing in Cursor
Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
Server shows as disconnected
Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.
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