Feedly MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Feedly as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="feedly_agent",
tools=tools,
system_message=(
"You help users with Feedly. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Feedly tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Feedly MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 12 tools from Feedly automatically
Why Use AutoGen with the Feedly MCP Server
AutoGen provides unique advantages when paired with Feedly through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Feedly tools to solve complex tasks
Role-based architecture lets you assign Feedly tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Feedly tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Feedly tool responses in an isolated environment
Feedly + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Feedly MCP Server delivers measurable value.
Collaborative analysis: one agent queries Feedly while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Feedly, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Feedly data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Feedly responses in a sandboxed execution environment
Feedly MCP Tools for AutoGen (12)
These 12 tools become available when you connect Feedly to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Feedly to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Feedly + AutoGen FAQ
Common questions about integrating Feedly MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.