RSS Feed Parser MCP Server for Mastra AIGive Mastra AI instant access to 1 tools to Parse Rss Feed
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect RSS Feed Parser through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The RSS Feed Parser MCP Server for Mastra AI 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
Geminiimport { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"rss-feed-parser": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "RSS Feed Parser Agent",
instructions:
"You help users interact with RSS Feed Parser " +
"using 1 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with RSS Feed Parser?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and RSS Feed Parser tool infrastructure. Connect 1 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI
When Mastra AI 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 Mastra AI via MCP
Follow these steps to wire RSS Feed Parser into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the RSS Feed Parser MCP Server
Mastra AI provides unique advantages when paired with RSS Feed Parser through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add RSS Feed Parser without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every RSS Feed Parser tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
RSS Feed Parser + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the RSS Feed Parser MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query RSS Feed Parser, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed RSS Feed Parser as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query RSS Feed Parser on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using RSS Feed Parser tools alongside other MCP servers
Example Prompts for RSS Feed Parser in Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting RSS Feed Parser to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpRSS Feed Parser + Mastra AI FAQ
Common questions about integrating RSS Feed Parser MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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