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Feedly MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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

main();
Feedly
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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 Feedly MCP Server

Connect your Feedly account to any AI agent and take full control of your news consumption and RSS aggregation through natural conversation.

The Vercel AI SDK gives every Feedly tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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

  • Collection Orchestration — List all your curated collections and feeds to organize your information flow natively
  • Stream Intelligence — Retrieve the latest articles from specific feeds or entire categories with full metadata flawlessly
  • Read State Management — Mark articles as read or save them for later directly from the cloud without manual UI interaction
  • Content Discovery — Search for new RSS feeds and trending topics across the entire Feedly index flawlessly
  • Board & Tag Organization — List and query articles from your personal boards and tagged content natively
  • User Insights — Access your Feedly profile and subscription metadata through the agent synchronously

The Feedly MCP Server exposes 12 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.

How to Connect Feedly to Vercel AI SDK via MCP

Follow these steps to integrate the Feedly MCP Server with Vercel AI SDK.

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 12 tools from Feedly and passes them to the LLM

Why Use Vercel AI SDK with the Feedly MCP Server

Vercel AI SDK provides unique advantages when paired with Feedly 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 Feedly integration everywhere

03

Built-in streaming UI primitives let you display Feedly 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

Feedly + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Feedly MCP Tools for Vercel AI SDK (12)

These 12 tools become available when you connect Feedly to Vercel AI SDK via MCP:

01

get_board_contents

Retrieve articles from a specific board

02

get_entry

Get details for a specific article entry

03

get_profile

Get current Feedly user profile

04

get_stream_contents

Retrieve articles for a specific stream (feed, category, or global)

05

get_subscriptions

List all individual feed subscriptions

06

get_tag_contents

Retrieve articles associated with a specific tag

07

list_boards

List all your Feedly boards (saved for later)

08

list_collections

List all your Feedly collections (categories) and feeds

09

list_tags

List all your Feedly tags

10

mark_as_read

Mark specific articles as read

11

search_feeds

Search for new RSS feeds in the Feedly index

12

search_topics

Search for trending topics or specific interests

Example Prompts for Feedly in Vercel AI SDK

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

01

"List my Feedly collections."

02

"Show me the latest 5 articles from the 'Tech News' category."

03

"Search for feeds about 'Edge Computing'."

Troubleshooting Feedly MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Feedly + Vercel AI SDK FAQ

Common questions about integrating Feedly 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.

Connect Feedly to Vercel AI SDK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.