How do I get a Feedly Developer Token?

Log in to Feedly, go to your account settings, navigate to Integrations, and select 'Developer Token' to request your access key.

Can the agent mark articles as read automatically?

Yes! Use the `mark_articles_as_read` tool and provide an array of article IDs to clear them from your unread list programmatically.

How many articles can I retrieve at once?

The `get_stream_contents` tool allows you to specify a count (default 20, max 1000) for retrieving articles from a stream.

INSTANT PLUG AND PLAY

Feedly MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Get Article Details, Get Feed Metadata, Get Stream Contents, and more

Name: Feedly
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 10 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Feedly 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="Feedly Assistant",
            instructions=(
                "You help users interact with Feedly. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

Fully ManagedVinkius Servers

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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 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.

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

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 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 Feedly tools available for OpenAI Agents SDK

When OpenAI Agents SDK 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_article_details

Get full content of an article

get_feed_metadata

Get metadata for a specific feed

get_stream_contents

Retrieve articles from a stream

get_user_profile

Get your Feedly profile

list_categories

List your Feedly categories

list_subscriptions

List all subscribed feeds

list_tags

List your personal tags

mark_articles_as_read

Mark one or more articles as read

subscribe_to_feed

Follow a new news source

unsubscribe_from_feed

Stop following a news source

Connect Feedly to OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

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

Explore tools

The agent will automatically discover 10 tools from Feedly

Why Use OpenAI Agents SDK with the Feedly MCP Server

OpenAI Agents SDK provides unique advantages when paired with Feedly 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

Feedly + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Feedly in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

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

MCPServerStreamableHttp not found

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

Agent not calling tools

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

Feedly + OpenAI Agents SDK FAQ

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

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.

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.

Does the SDK support streaming responses?

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