Feedly MCP Server for Mastra AIGive Mastra AI instant access to 10 tools to Get Article Details, Get Feed Metadata, Get Stream Contents, and more
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.
Ask AI about this App Connector for Mastra AI
The Feedly app connector for Mastra AI 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
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-alternative": {
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 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Feedly?"
);
console.log(result.text);
}
main();
* 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 aggregation and content curation workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Feedly tool infrastructure. Connect 10 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
- Feed Orchestration — List and manage your subscribed news sources programmatically, including adding or removing RSS/Atom feeds
- Stream Intelligence — Retrieve the latest entries (articles) from specific feeds or categories and monitor unread counts in real-time
- Content Extraction — Programmatically fetch complete article text and metadata to perform deep analysis and summaries via your agent
- Organization Control — Manage your Feedly categories and personal tags to maintain a structured and high-fidelity reading environment
- Reading Workflow — Mark articles as read and manage your reading list programmatically to streamline your news consumption
The Feedly MCP Server exposes 10 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.
All 10 Feedly tools available for Mastra AI
When Mastra AI connects to Feedly through Vinkius, your AI agent gets direct access to every tool listed below — spanning rss-aggregator, content-curation, industry-trends, 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.
Get full content of an article
Get metadata for a specific feed
Retrieve articles from a stream
Get your Feedly profile
List your Feedly categories
List all subscribed feeds
List your personal tags
Mark one or more articles as read
Follow a new news source
Stop following a news source
Connect Feedly to Mastra AI via MCP
Follow these steps to wire Feedly into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Feedly MCP Server
Mastra AI provides unique advantages when paired with Feedly through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Feedly without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Feedly tool response with IDE autocomplete and compile-time checks
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.
Automated workflows: build multi-step agents that query Feedly, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Feedly as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Feedly on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Feedly tools alongside other MCP servers
Example Prompts for Feedly in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Feedly immediately.
"List all my categories in Feedly."
"Show me the last 3 unread articles in the 'AI & ML' category."
"Subscribe to this feed: 'https://example.com/rss' and add it to 'Tech'."
Troubleshooting Feedly MCP Server with Mastra AI
Common issues when connecting Feedly to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFeedly + Mastra AI FAQ
Common questions about integrating Feedly MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.