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
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
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())
* 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.
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 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.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
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.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query Inoreader, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Inoreader, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Inoreader tools and transform it with OpenAI models in a single async loop
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.
"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 OpenAI Agents SDK
Common issues when connecting Inoreader to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Inoreader + OpenAI Agents SDK FAQ
Common questions about integrating Inoreader MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.