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OPML Podcast & RSS Parser MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 1 tools to Parse Opml Feeds

MCP Inspector GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect OPML Podcast & RSS Parser through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The OPML Podcast & RSS Parser MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

ClaudeClaude
ChatGPTChatGPT
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GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="OPML Podcast & RSS Parser Assistant",
            instructions=(
                "You help users interact with OPML Podcast & RSS Parser. "
                "You have access to 1 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from OPML Podcast & RSS Parser"
        )
        print(result.final_output)

asyncio.run(main())
OPML Podcast & RSS Parser
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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

About 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.

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.

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.

The OPML Podcast & RSS Parser MCP Server exposes 1 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 OPML Podcast & RSS Parser tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to OPML Podcast & RSS Parser through Vinkius, your AI agent gets direct access to every tool listed below — spanning rss, podcast-management, xml-parsing, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

parse

Parse opml feeds on OPML Podcast & RSS Parser

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

Connect OPML Podcast & RSS Parser to OpenAI Agents SDK via MCP

Follow these steps to wire OPML Podcast & RSS Parser into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 1 tools from OPML Podcast & RSS Parser

Why Use OpenAI Agents SDK with the OPML Podcast & RSS Parser MCP Server

OpenAI Agents SDK provides unique advantages when paired with OPML Podcast & RSS Parser through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

OPML Podcast & RSS Parser + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the OPML Podcast & RSS Parser MCP Server delivers measurable value.

01

Automated workflows: build agents that query OPML Podcast & RSS Parser, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries OPML Podcast & RSS Parser, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through OPML Podcast & RSS Parser tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query OPML Podcast & RSS Parser to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for OPML Podcast & RSS Parser in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with OPML Podcast & RSS Parser immediately.

01

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

02

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

03

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

Troubleshooting OPML Podcast & RSS Parser MCP Server with OpenAI Agents SDK

Common issues when connecting OPML Podcast & RSS Parser to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

OPML Podcast & RSS Parser + OpenAI Agents SDK FAQ

Common questions about integrating OPML Podcast & RSS Parser MCP Server with OpenAI Agents SDK.

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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