Feedly MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Feedly"
)
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 Feedly MCP Server
Connect your Feedly account to any AI agent and take full control of your news consumption and RSS aggregation through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 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
- Collection Orchestration — List all your curated collections and feeds to organize your information flow natively
- Stream Intelligence — Retrieve the latest articles from specific feeds or entire categories with full metadata flawlessly
- Read State Management — Mark articles as read or save them for later directly from the cloud without manual UI interaction
- Content Discovery — Search for new RSS feeds and trending topics across the entire Feedly index flawlessly
- Board & Tag Organization — List and query articles from your personal boards and tagged content natively
- User Insights — Access your Feedly profile and subscription metadata through the agent synchronously
The Feedly MCP Server exposes 12 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.
How to Connect Feedly to OpenAI Agents SDK via MCP
Follow these steps to integrate the Feedly MCP Server with OpenAI Agents SDK.
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 12 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
Feedly MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Feedly to OpenAI Agents SDK via MCP:
get_board_contents
Retrieve articles from a specific board
get_entry
Get details for a specific article entry
get_profile
Get current Feedly user profile
get_stream_contents
Retrieve articles for a specific stream (feed, category, or global)
get_subscriptions
List all individual feed subscriptions
get_tag_contents
Retrieve articles associated with a specific tag
list_boards
List all your Feedly boards (saved for later)
list_collections
List all your Feedly collections (categories) and feeds
list_tags
List all your Feedly tags
mark_as_read
Mark specific articles as read
search_feeds
Search for new RSS feeds in the Feedly index
search_topics
Search for trending topics or specific interests
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 my Feedly collections."
"Show me the latest 5 articles from the 'Tech News' category."
"Search for feeds about 'Edge Computing'."
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
pip install --upgrade openai-agentsAgent not calling tools
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?
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.Does the SDK support streaming responses?
Connect Feedly with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Feedly to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.