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Vinkius

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

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Feedly through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "feedly": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Feedly Agent",
    instructions:
      "You help users interact with Feedly " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Feedly?"
  );
  console.log(result.text);
}

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.

Mastra's agent abstraction provides a clean separation between LLM logic and Feedly tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

Mastra discovers 12 tools from Feedly via MCP

Why Use Mastra AI with the Feedly MCP Server

Mastra AI provides unique advantages when paired with Feedly through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Feedly without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Feedly tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Feedly + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Feedly, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Feedly as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Feedly on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Feedly tools alongside other MCP servers

Feedly MCP Tools for Mastra AI (12)

These 12 tools become available when you connect Feedly to Mastra AI 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 Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Feedly + Mastra AI FAQ

Common questions about integrating Feedly MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Feedly to Mastra AI

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