How to Use the Inoreader MCP in Vercel AI SDK

Q: How do I connect Inoreader to Vercel AI SDK?

Install the @ai-sdk/mcp package and create an MCP client pointing to your Vinkius endpoint. Pass the tools from the client into your text generation function to let your agent query feeds directly.

Q: Can Vercel AI SDK mark Inoreader feeds as read using this MCP Server?

Yes, your agent can call markallasread to clear out unread items instantly. It can also fetch counts first using getunreadcounts to decide whether to trigger the action.

Q: Can I manage folders with this setup?

You can list, rename, or delete folders using listtags, renametag, and deletetag. Your agent handles these tasks through simple text commands.

Pipe live RSS streams and article feeds directly into your React frontends with Vercel AI SDK and the Inoreader MCP Server.

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Connect Inoreader MCP to Vercel AI SDK

Create your Vinkius account to connect Inoreader to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Inoreader with Vercel AI SDK

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Live Feed Streaming with Vercel AI SDK

The Inoreader MCP Server connects your application directly to RSS feeds. By calling `list_stream_contents`, your frontend receives structured feed data without waiting for a full database roundtrip. This setup avoids the standard loading spinner pattern. The Vercel AI SDK handles the stream, letting your users watch feed updates populate their UI element by element as they load.

Instant Subscription Management

The `quick_add_subscription` tool lets users add new content sources directly from your interface. Your agent takes any raw URL and registers it to the user's Inoreader account behind the scenes. Once added, your agent can immediately fetch unread counts or list the new feed items. You don't have to build custom RSS parsing engines or manage raw XML feeds yourself.

Real-time Tagging and Curation

The `edit_tag` tool lets you organize content on the fly by changing feed tags directly from the chat interface. Your agent invokes this to star articles or group feeds into specific operational folders. If a folder name needs a quick update, `rename_tag` handles it instantly. This keeps the user's external reading lists synchronized with the actions they take inside your Vercel AI SDK application.

Setup guide

Set up Inoreader MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Inoreader tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Inoreader transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Inoreader. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Inoreader MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and create an MCP client pointing to your Vinkius endpoint. Pass the tools from the client into your text generation function to let your agent query feeds directly.

Yes, your agent can call `mark_all_as_read` to clear out unread items instantly. It can also fetch counts first using `get_unread_counts` to decide whether to trigger the action.

Vinkius handles the underlying connection stability, but you should configure the Vercel AI SDK to handle backpressure. Keep your `list_stream_contents` calls targeted to specific folders to avoid fetching massive backlogs.

You can list, rename, or delete folders using `list_tags`, `rename_tag`, and `delete_tag`. Your agent handles these tasks through simple text commands.

Your RSS subscriptions, feed URLs, and read states are protected inside an ephemeral V8 sandbox. Vinkius passes your API token directly to Inoreader without storing your personal credentials on disk.

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