RSS Feed Parser MCP Server for WindsurfGive Windsurf instant access to 1 tools to Parse Rss Feed
Windsurf brings agentic AI coding to a purpose-built IDE. Connect RSS Feed Parser through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
Ask AI about this MCP Server for Windsurf
The RSS Feed Parser MCP Server for Windsurf is a standout in the Productivity category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
{
"mcpServers": {
"rss-feed-parser": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install RSS Feed Parser and 4,000+ MCP Servers from a single visual interface.





* 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.
Windsurf's Cascade agent chains multiple RSS Feed Parser tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 1 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf
When Windsurf 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 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 Windsurf via MCP
Follow these steps to wire RSS Feed Parser into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Open MCP Settings
Cmd+Shift+P and search "MCP"Add the server
mcp_config.jsonSave and reload
Start using RSS Feed Parser
Why Use Windsurf with the RSS Feed Parser MCP Server
Windsurf provides unique advantages when paired with RSS Feed Parser through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 1 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
RSS Feed Parser + Windsurf Use Cases
Practical scenarios where Windsurf combined with the RSS Feed Parser MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from RSS Feed Parser and generate models, types, or handlers based on real API responses
Live debugging: query RSS Feed Parser tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from RSS Feed Parser and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine RSS Feed Parser data with Cascade's code generation to scaffold entire features in minutes
Example Prompts for RSS Feed Parser in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with RSS Feed Parser immediately.
"Monitor TechCrunch's RSS feed and give me the latest 5 articles with titles and publish dates."
"Parse our company blog feed and extract all articles tagged 'product-update' from the last 30 days."
"Get the latest episode URLs from this podcast RSS feed for our newsletter."
Troubleshooting RSS Feed Parser MCP Server with Windsurf
Common issues when connecting RSS Feed Parser to Windsurf through Vinkius, and how to resolve them.
Server not connecting
RSS Feed Parser + Windsurf FAQ
Common questions about integrating RSS Feed Parser MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Explore More MCP Servers
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