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Inoreader MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Delete Tag, Edit Tag, Get Unread Counts, and more

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Inoreader through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this App Connector for OpenAI Agents SDK

The Inoreader app connector for OpenAI Agents SDK 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Inoreader Assistant",
            instructions=(
                "You help users interact with Inoreader. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Inoreader"
        )
        print(result.final_output)

asyncio.run(main())
Inoreader
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 10 tools from Inoreader through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Inoreader, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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.

delete_tag

Articles will remain but the organizational label is removed. Delete a tag or folder

edit_tag

Use "user/-/state/com.google/starred" to star/unstar an item. Add or remove tags from articles (e.g., Starred)

get_unread_counts

Get the number of unread items per feed/folder

get_user_info

Get Inoreader user information

list_stream_contents

Use "user/-/state/com.google/reading-list" for all items. Get articles for a specific feed, folder, or tag

list_subscriptions

List all user subscriptions (feeds)

list_tags

List all user tags and folders

mark_all_as_read

Mark all items in a stream as read

quick_add_subscription

Subscribe to a new feed by URL

rename_tag

Rename an existing tag or folder

Connect Inoreader to OpenAI Agents SDK via MCP

Follow these steps to wire Inoreader into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 10 tools from Inoreader

Why Use OpenAI Agents SDK with the Inoreader MCP Server

OpenAI Agents SDK provides unique advantages when paired with Inoreader through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Inoreader + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Inoreader MCP Server delivers measurable value.

01

Automated workflows: build agents that query Inoreader, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Inoreader, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Inoreader tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Inoreader to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Inoreader in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Inoreader immediately.

01

"What are the latest news from my Tech folder?"

02

"Find articles about 'SpaceX' that I haven't read yet."

03

"Mark all articles in my 'Social Media' tag as read."

Troubleshooting Inoreader MCP Server with OpenAI Agents SDK

Common issues when connecting Inoreader to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Inoreader + OpenAI Agents SDK FAQ

Common questions about integrating Inoreader MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.