OPML Podcast & RSS Parser MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 1 tools to Parse Opml Feeds
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect OPML Podcast & RSS Parser through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The OPML Podcast & RSS Parser MCP Server for Vercel AI SDK 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 { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using OPML Podcast & RSS Parser, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every OPML Podcast & RSS Parser tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK
When Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to wire OPML Podcast & RSS Parser into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the OPML Podcast & RSS Parser MCP Server
Vercel AI SDK provides unique advantages when paired with OPML Podcast & RSS Parser through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same OPML Podcast & RSS Parser integration everywhere
Built-in streaming UI primitives let you display OPML Podcast & RSS Parser tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
OPML Podcast & RSS Parser + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the OPML Podcast & RSS Parser MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query OPML Podcast & RSS Parser in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate OPML Podcast & RSS Parser tools and return structured JSON responses to any frontend
Chatbots with tool use: embed OPML Podcast & RSS Parser capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with OPML Podcast & RSS Parser through natural language queries
Example Prompts for OPML Podcast & RSS Parser in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting OPML Podcast & RSS Parser to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOPML Podcast & RSS Parser + Vercel AI SDK FAQ
Common questions about integrating OPML Podcast & RSS Parser MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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