Inoreader MCP Server for Mastra AIGive Mastra AI instant access to 10 tools to Delete Tag, Edit Tag, Get Unread Counts, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Inoreader 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 Inoreader 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: {
"inoreader": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Inoreader Agent",
instructions:
"You help users interact with Inoreader " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Inoreader?"
);
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Inoreader 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 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 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 Inoreader tools available for Mastra AI
When Mastra AI 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.
Articles will remain but the organizational label is removed. Delete a tag or folder
Use "user/-/state/com.google/starred" to star/unstar an item. Add or remove tags from articles (e.g., Starred)
Get the number of unread items per feed/folder
Get Inoreader user information
Use "user/-/state/com.google/reading-list" for all items. Get articles for a specific feed, folder, or tag
List all user subscriptions (feeds)
List all user tags and folders
Mark all items in a stream as read
Subscribe to a new feed by URL
Rename an existing tag or folder
Connect Inoreader to Mastra AI via MCP
Follow these steps to wire Inoreader 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 Inoreader MCP Server
Mastra AI provides unique advantages when paired with Inoreader through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Inoreader 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 Inoreader 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
Inoreader + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Inoreader MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Inoreader, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Inoreader as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Inoreader on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Inoreader tools alongside other MCP servers
Example Prompts for Inoreader in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Inoreader immediately.
"What are the latest news from my Tech folder?"
"Find articles about 'SpaceX' that I haven't read yet."
"Mark all articles in my 'Social Media' tag as read."
Troubleshooting Inoreader MCP Server with Mastra AI
Common issues when connecting Inoreader to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpInoreader + Mastra AI FAQ
Common questions about integrating Inoreader 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.