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RSS Feed Parser MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 1 tools to Parse Rss Feed

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect RSS Feed 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

The RSS Feed 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

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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="RSS Feed Parser Assistant",
            instructions=(
                "You help users interact with RSS Feed Parser. "
                "You have access to 1 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
RSS Feed Parser
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

About RSS Feed Parser MCP Server

Your content marketing agent needs to monitor 20 competitor blogs, 5 industry news feeds, and 3 podcast channels. Without a parser, it scrapes HTML — inconsistent, slow, and full of noise.

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

RSS and Atom feeds are the web's native content API. This MCP parses them into clean JSON objects with titles, links, publication dates, authors, categories, and full content — ready for summarization, curation, or automated distribution.

The Superpowers

  • RSS 2.0 + Atom: Both formats parsed identically into a unified JSON structure.
  • Full Content: Extracts title, link, date, author, categories, enclosures (podcasts), and content/summary.
  • No Scraping: Clean, structured data from the feed XML — no HTML parsing, no DOM traversal.
  • Podcast Ready: Enclosure extraction for audio/video URLs, durations, and file sizes.

The RSS Feed 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 RSS Feed Parser tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to RSS Feed Parser through Vinkius, your AI agent gets direct access to every tool listed below — spanning rss, atom, content-aggregation, 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 rss feed on RSS Feed Parser

Pass the raw XML string and receive a structured JSON with feed metadata and up to 20 items. This is essential for content marketing agents monitoring blogs, news aggregators, and podcast feeds. Never try to parse XML manually — use this engine for deterministic extraction. Parses RSS 2.0 and Atom feed XML into structured JSON objects. Extracts title, description, items with links, dates, categories, and content snippets

Connect RSS Feed Parser to OpenAI Agents SDK via MCP

Follow these steps to wire RSS Feed 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 RSS Feed Parser

Why Use OpenAI Agents SDK with the RSS Feed Parser MCP Server

OpenAI Agents SDK provides unique advantages when paired with RSS Feed 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

RSS Feed Parser + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for RSS Feed Parser in OpenAI Agents SDK

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

01

"Monitor TechCrunch's RSS feed and give me the latest 5 articles with titles and publish dates."

02

"Parse our company blog feed and extract all articles tagged 'product-update' from the last 30 days."

03

"Get the latest episode URLs from this podcast RSS feed for our newsletter."

Troubleshooting RSS Feed Parser MCP Server with OpenAI Agents SDK

Common issues when connecting RSS Feed 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.

RSS Feed Parser + OpenAI Agents SDK FAQ

Common questions about integrating RSS Feed 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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