OPML Podcast & RSS Parser MCP Server for Mastra AIGive Mastra AI instant access to 1 tools to Parse Opml Feeds
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect OPML Podcast & RSS 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 OPML Podcast & RSS 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: {
"opml-podcast-rss-parser": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "OPML Podcast & RSS Parser Agent",
instructions:
"You help users interact with OPML Podcast & RSS Parser " +
"using 1 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with OPML Podcast & RSS 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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and OPML Podcast & RSS 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.
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 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 OPML Podcast & RSS Parser tools available for Mastra AI
When Mastra AI 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 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 Mastra AI via MCP
Follow these steps to wire OPML Podcast & RSS 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 OPML Podcast & RSS Parser MCP Server
Mastra AI provides unique advantages when paired with OPML Podcast & RSS Parser through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add OPML Podcast & RSS 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 OPML Podcast & RSS 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
OPML Podcast & RSS Parser + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the OPML Podcast & RSS Parser MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query OPML Podcast & RSS Parser, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed OPML Podcast & RSS 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 OPML Podcast & RSS Parser on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using OPML Podcast & RSS Parser tools alongside other MCP servers
Example Prompts for OPML Podcast & RSS Parser in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with OPML Podcast & RSS Parser immediately.
"Read my podcasts.opml file and recommend 3 new tech podcasts I might like."
"Extract all the RSS URLs from my Feedly export and format them as a Markdown table."
"Analyze my OPML file and tell me what my primary interests are."
Troubleshooting OPML Podcast & RSS Parser MCP Server with Mastra AI
Common issues when connecting OPML Podcast & RSS Parser to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOPML Podcast & RSS Parser + Mastra AI FAQ
Common questions about integrating OPML Podcast & RSS 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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