Compatible with every major AI agent and IDE
What is the 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.
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.
Built-in capabilities (1)
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
Why OpenAI Agents SDK?
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.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
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
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
RSS Feed Parser in OpenAI Agents SDK
RSS Feed Parser and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect RSS Feed 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.
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 RSS Feed Parser in OpenAI Agents SDK
The RSS Feed 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.

* 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
RSS Feed Parser for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the RSS Feed 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 work with podcast feeds?
Yes. Podcast RSS feeds include enclosure elements with audio/video URLs, MIME types, and file sizes. The parser extracts all of them.
Can it handle both RSS 2.0 and Atom?
Yes. Both formats are auto-detected and parsed into the same unified JSON structure. Your agent doesn't need to know which format the source uses.
Does it fetch the feed URL or do I pass the XML?
Pass the feed URL and the engine fetches + parses in one step. No manual XML handling needed.
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.
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.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
Explore More MCP Servers
View all →
OECD Data API
3 toolsAccess global economic data — audit social and fiscal series via AI.

Swarm
5 toolsOrchestrate multi-agent AI workflows where specialized agents collaborate, delegate tasks, and solve complex problems together.

UK ONS Economy — GDP, Inflation & Consumer Spending
6 toolsOfficial UK economic data: quarterly and annual GDP by region, CPIH inflation (the UK's headline measure), retail sales index, real-time card spending indicators, and household income statistics from the Office for National Statistics.

Custify
8 toolsPredict and prevent customer churn with health scores, lifecycle tracking, and automated playbooks for your CS team.
