How to Use the Feedly MCP in Vercel AI SDK

Q: Can Vercel AI SDK automate Feedly feed cleanup?

Yes, you can script logic that triggers unsubscribefromfeed when specific criteria are met. This allows your app to prune inactive or irrelevant sources automatically.

Q: Can I list Feedly categories in Vercel AI SDK?

Use the listcategories tool to pull your organizational structure. You can map these to your UI filters to help users navigate their news feeds more effectively.

Stream real-time industry research into your Vercel AI SDK interface with the Feedly MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Feedly MCP to Vercel AI SDK

Create your Vinkius account to connect Feedly 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.

GDPR Free for Subscribers

Setup Feedly with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live feed ingestion for Vercel AI SDK

Feed your UI raw data directly from your subscriptions. You call `get_stream_contents` to pull the latest updates and push them into your React components as they arrive. Stop waiting for batch processing. Your users see headlines populate in real-time as the agent fetches them, creating a responsive dashboard for tracking industry shifts.

Granular article retrieval for AI-driven apps

Deep dive into specific content using `get_article_details`. Your agent pulls the full text of any entry, allowing your app to summarize or analyze articles on the fly. This gives your application the context it needs to make informed decisions. It skips the noise and gets straight to the substance of the news your users track.

Manage your Feedly subscriptions programmatically

Control your research sources without leaving your code. You can use `subscribe_to_feed` and `unsubscribe_from_feed` to update your tracking list based on user input or automated logic. Keeping your feed clean becomes part of the application logic. It ensures your users only see the signals that matter to their specific research goals.

Setup guide

Set up Feedly 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 Feedly 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 Feedly 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 Feedly. 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.

Connect Feedly now

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 Feedly MCP in Vercel AI SDK

You connect the server using the MCP HTTP transport in your Vercel AI SDK project. Once the client is initialized, you pass the tool definitions into your generateText function to start executing commands.

Yes, you can script logic that triggers `unsubscribe_from_feed` when specific criteria are met. This allows your app to prune inactive or irrelevant sources automatically.

It does. Because the tools return data that plays well with streaming, you get immediate updates in your frontend. It makes the research process feel instant.

Your API tokens and personal feed data stay local to your session. The server acts as a bridge, and no information is stored on our end beyond the ephemeral connection.

Use the `list_categories` tool to pull your organizational structure. You can map these to your UI filters to help users navigate their news feeds more effectively.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript