How to Use the Miniflux (RSS Reader) MCP in AutoGen

Q: What is the best way to monitor Miniflux (RSS Reader) from AutoGen?

You can have an observer agent run healthcheck or liveness probes periodically. This ensures your feed system is up before the main agents start working.

Let your AutoGen agents debate and manage your news using the Miniflux (RSS Reader) MCP Server.

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Connect Miniflux (RSS Reader) MCP to AutoGen

Create your Vinkius account to connect Miniflux (RSS Reader) to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Miniflux (RSS Reader) with AutoGen

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Collaborative feed management in AutoGen

Have one agent list entries with `list_entries` while another evaluates their relevance. They can discuss which articles to keep and which to archive. This debate ensures that only high-quality information makes it to your final reading list. It prevents the clutter that comes from blindly accepting every new feed update.

Automated triage using AutoGen

Use `update_entries_status` to mark items as read after agents agree they lack value. This multi-agent approach handles the noise of high-volume news sites. The agents negotiate the classification of each article based on your pre-set criteria. You only interact with the results they have collectively verified.

System-wide feed discovery for AutoGen

Deploy `discover_subscriptions` to have an agent scan websites for new RSS links. The agents can propose new feeds to add based on your current interests. This removes the manual work of searching for feed URLs. The agents present their findings, and you simply approve the ones you want to track.

Setup guide

Set up Miniflux (RSS Reader) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Miniflux (RSS Reader) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Miniflux (RSS Reader)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Miniflux (RSS Reader) data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Miniflux (RSS Reader)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Miniflux (RSS Reader) data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Miniflux. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Miniflux (RSS Reader) MCP in AutoGen

You initialize the server via the MCP adapter and pass the tools to your AssistantAgent. This lets your agents call the Miniflux API directly during their discussions.

Yes, multiple agents in a group chat can access the same toolset. They can coordinate tasks like reading, sorting, and bookmarking feed entries.

It provides the raw data agents need to debate. By accessing your actual feed content, the agents can make informed decisions based on real-time news.

You can have an observer agent run `healthcheck` or `liveness` probes periodically. This ensures your feed system is up before the main agents start working.

All communication is encrypted between your local environment and your Miniflux server. The MCP protocol ensures that your sensitive credentials never leave your control.

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