OpenAI Agents SDKSDK

OPML Podcast & RSS Parser MCP Server

Bring Rss
to OpenAI Agents SDK

Name: OPML Podcast & RSS Parser MCP Server
Price: 29 USD
Availability: InStock
Rating: 4.7 (1 reviews)
Author: Vinkius

Learn how to connect OPML Podcast & RSS Parser to OpenAI Agents SDK and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Parse Opml Feeds

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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)

parse_opml_feeds

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

Why OpenAI Agents SDK?

The OpenAI Agents SDK auto-discovers all 1 tools from OPML Podcast & RSS Parser through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries OPML Podcast & RSS Parser, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

—
Native MCP integration via MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety
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Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
—
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

See it in action

OPML Podcast & RSS Parser in OpenAI Agents SDK

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

OPML Podcast & RSS Parser and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect OPML Podcast & RSS Parser to OpenAI Agents SDK 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.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	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

Unlock for AI Agents View step-by-step setup guide for OpenAI Agents SDK →

Enterprise Security

Why teams choose Vinkius for OPML Podcast & RSS Parser in OpenAI Agents SDK

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 OpenAI Agents SDK 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.

Unlock for AI Agents View full OPML Podcast & RSS Parser details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures
OPML Podcast & RSS Parser for OpenAI Agents SDK

Every tool call from OpenAI Agents SDK 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.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

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.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.