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Inoreader MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Delete Tag, Edit Tag, Get Unread Counts, and more

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Inoreader through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Inoreader app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { 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 Inoreader, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Inoreader
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* 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 Inoreader MCP Server

Connect your Inoreader account to any AI agent and transform how you monitor news, blogs, and social feeds through natural language control.

The Vercel AI SDK gives every Inoreader tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Feed Management — List all your subscriptions and quickly add new RSS/Atom feeds by URL.
  • Content Extraction — Fetch article contents from specific feeds, folders, or system streams with advanced filtering.
  • Organization — List, create, rename, and delete tags or folders to keep your information architecture clean.
  • Engagement — Star important articles, mark items as read, or batch-clear entire streams instantly.
  • Unread Monitoring — Get real-time summaries of unread counts across all your categorized content.

The Inoreader MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Inoreader tools available for Vercel AI SDK

When Vercel AI SDK connects to Inoreader through Vinkius, your AI agent gets direct access to every tool listed below — spanning rss-reader, content-curation, news-monitoring, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

delete_tag

Articles will remain but the organizational label is removed. Delete a tag or folder

edit_tag

Use "user/-/state/com.google/starred" to star/unstar an item. Add or remove tags from articles (e.g., Starred)

get_unread_counts

Get the number of unread items per feed/folder

get_user_info

Get Inoreader user information

list_stream_contents

Use "user/-/state/com.google/reading-list" for all items. Get articles for a specific feed, folder, or tag

list_subscriptions

List all user subscriptions (feeds)

list_tags

List all user tags and folders

mark_all_as_read

Mark all items in a stream as read

quick_add_subscription

Subscribe to a new feed by URL

rename_tag

Rename an existing tag or folder

Connect Inoreader to Vercel AI SDK via MCP

Follow these steps to wire Inoreader into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 10 tools from Inoreader and passes them to the LLM

Why Use Vercel AI SDK with the Inoreader MCP Server

Vercel AI SDK provides unique advantages when paired with Inoreader through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Inoreader integration everywhere

03

Built-in streaming UI primitives let you display Inoreader tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Inoreader + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Inoreader MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Inoreader in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Inoreader tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Inoreader capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Inoreader through natural language queries

Example Prompts for Inoreader in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Inoreader immediately.

01

"What are the latest news from my Tech folder?"

02

"Find articles about 'SpaceX' that I haven't read yet."

03

"Mark all articles in my 'Social Media' tag as read."

Troubleshooting Inoreader MCP Server with Vercel AI SDK

Common issues when connecting Inoreader to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Inoreader + Vercel AI SDK FAQ

Common questions about integrating Inoreader MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.